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Create a new cargo project
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
​
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Create a new cargo project
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
​
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
​
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
Provide an abstraction trait for communication layer
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Provide an abstraction trait for communication layer
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Create prototype for a library-based dora-rs
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Create prototype for a library-based dora-rs
3 years ago
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Start implementing dora runtime node
3 years ago
Create prototype for a library-based dora-rs
3 years ago
Start implementing dora runtime node
3 years ago
Create prototype for a library-based dora-rs
3 years ago
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Start implementing dora runtime node
3 years ago
Create prototype for a library-based dora-rs
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Create prototype for a library-based dora-rs
3 years ago
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Start implementing dora runtime node
3 years ago
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Create an example C++ node based on Rust node API and `cxx` crate
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
​
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
​
Adding Rust Python Server
3 years ago
​
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
​
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
​
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
​
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Create an example C++ node based on Rust node API and `cxx` crate
3 years ago
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Rename c++ example crate
3 years ago
Create an example C++ node based on Rust node API and `cxx` crate
3 years ago
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Add an example C++ operator based on the Rust API
3 years ago
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Create an example C++ node based on Rust node API and `cxx` crate
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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Adding Rust Python Server
3 years ago
Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
Adding Rust Python Server
3 years ago
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Create prototype for a library-based dora-rs
3 years ago
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Start implementing dora runtime node
3 years ago
Replaced `dora-common` with `dora-core`
3 years ago
Create a `dora-operator-api` crate Rename the previous `dora-api` crate to `dora-node-api`.
3 years ago
Create prototype for a library-based dora-rs
3 years ago
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Create more complex example with rate limiting and message aggregation
3 years ago
Create prototype for a library-based dora-rs
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Create prototype for a library-based dora-rs
3 years ago
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Replaced `dora-common` with `dora-core`
3 years ago
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Add a `c-dataflow` example
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Create a `dora-operator-api` crate Rename the previous `dora-api` crate to `dora-node-api`.
3 years ago
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Update Cargo.lock
3 years ago
Implement parsing of new dora timer input keys
3 years ago
Create a `dora-operator-api` crate Rename the previous `dora-api` crate to `dora-node-api`.
3 years ago
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Start creating a staticlib with a node API for C
3 years ago
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Implement API functions for reading inputs and sending outputs
3 years ago
Start creating a staticlib with a node API for C
3 years ago
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init `dora-node-api-python`
3 years ago
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Adding `__iter__` function
3 years ago
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init `dora-node-api-python`
3 years ago
Adding `__iter__` function
3 years ago
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init `dora-node-api-python`
3 years ago
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Create a `dora-operator-api` crate Rename the previous `dora-api` crate to `dora-node-api`.
3 years ago
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Create a `register_operator` macro to make operator creation more convenient
3 years ago
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Create a `dora-operator-api` crate Rename the previous `dora-api` crate to `dora-node-api`.
3 years ago
Start implementing dora runtime node
3 years ago
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Replaced `dora-common` with `dora-core`
3 years ago
Create a `dora-operator-api` crate Rename the previous `dora-api` crate to `dora-node-api`.
3 years ago
Start implementing dora runtime node
3 years ago
Update Cargo.lock
3 years ago
Start implementing dora runtime node
3 years ago
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Add support for shared library operators The library must provide a `dora_on_input` function, which the runtime invokes when it receives input for the operator. In addition to the input id and value, we pass a callback function for sending output. By operating on single `(id, value)` pairs instead of sets of them, the operators stay flexible. They can define their own logic for input rules and send outputs as soon as they become available. The callback function design also limits allocations since output values can be be stack-allocated this way.
3 years ago
Update Cargo.lock
3 years ago
Add initial support (input only) for Python operators
3 years ago
Start implementing dora runtime node
3 years ago
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Start creating actor framework for operators
3 years ago
Start implementing dora runtime node
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding `__iter__` function
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Start implementing dora runtime node
3 years ago
Adding Rust Python Server
3 years ago
Start implementing dora runtime node
3 years ago
Adding Rust Python Server
3 years ago
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Update Cargo.lock
3 years ago
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Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Start creating a stdio-based client interface
3 years ago
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Adding Rust Python Server
3 years ago
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Update Cargo.lock
3 years ago
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Adding Rust Python Server
3 years ago
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Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Adding Rust Python Server
3 years ago
Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Adding Rust Python Server
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
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Create prototype for a library-based dora-rs
3 years ago
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Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Create an example C++ node based on Rust node API and `cxx` crate
3 years ago
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Adding Rust Python Server
3 years ago
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Update Cargo.lock
3 years ago
Adding Rust Python Server
3 years ago
Update Cargo.lock
3 years ago
Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
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Create prototype for a library-based dora-rs
3 years ago
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Adding Rust Python Server
3 years ago
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Implement parsing of new dora timer input keys
3 years ago
Adding Rust Python Server
3 years ago
Implement parsing of new dora timer input keys
3 years ago
Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Create prototype for a library-based dora-rs
3 years ago
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Adding Rust Python Server
3 years ago
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Add initial support (input only) for Python operators
3 years ago
Adding Rust Python Server
3 years ago
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Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Adding Rust Python Server
3 years ago
Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Create an example C++ node based on Rust node API and `cxx` crate
3 years ago
Adding Rust Python Server
3 years ago
Create an example C++ node based on Rust node API and `cxx` crate
3 years ago
Adding Rust Python Server
3 years ago
Create an example C++ node based on Rust node API and `cxx` crate
3 years ago
Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Add initial support (input only) for Python operators
3 years ago
Adding Rust Python Server
3 years ago
Add initial support (input only) for Python operators
3 years ago
Adding Rust Python Server
3 years ago
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Replace output callback function with method implementation
3 years ago
Adding Rust Python Server
3 years ago
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Add initial support (input only) for Python operators
3 years ago
Adding Rust Python Server
3 years ago
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Add initial support (input only) for Python operators
3 years ago
Adding Rust Python Server
3 years ago
Add initial support (input only) for Python operators
3 years ago
Adding Rust Python Server
3 years ago
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Add initial support (input only) for Python operators
3 years ago
Adding Rust Python Server
3 years ago
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Add initial support (input only) for Python operators
3 years ago
Adding Rust Python Server
3 years ago
Add initial support (input only) for Python operators
3 years ago
Adding Rust Python Server
3 years ago
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Add initial support (input only) for Python operators
3 years ago
Adding Rust Python Server
3 years ago
Add initial support (input only) for Python operators
3 years ago
Adding Rust Python Server
3 years ago
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Add initial support (input only) for Python operators
3 years ago
Adding Rust Python Server
3 years ago
Add initial support (input only) for Python operators
3 years ago
Adding Rust Python Server
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
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Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Adding Rust Python Server
3 years ago
Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Adding Rust Python Server
3 years ago
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Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Adding Rust Python Server
3 years ago
Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Create a Rust dataflow example The example shows how to use the dora node and operator APIs.
3 years ago
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Adding Rust Python Server
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
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Adding Rust Python Server
3 years ago
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Create an example C++ node based on Rust node API and `cxx` crate
3 years ago
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Adding Rust Python Server
3 years ago
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Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Adding Rust Python Server
3 years ago
Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Adding Rust Python Server
3 years ago
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Create prototype for a library-based dora-rs
3 years ago
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Adding Rust Python Server
3 years ago
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Create an example C++ node based on Rust node API and `cxx` crate
3 years ago
Adding Rust Python Server
3 years ago
Create an example C++ node based on Rust node API and `cxx` crate
3 years ago
Adding Rust Python Server
3 years ago
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Create an example C++ node based on Rust node API and `cxx` crate
3 years ago
Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Add initial support (input only) for Python operators
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Create prototype for a library-based dora-rs
3 years ago
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Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Create prototype for a library-based dora-rs
3 years ago
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Adding Rust Python Server
3 years ago
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Add a `c-dataflow` example
3 years ago
Adding Rust Python Server
3 years ago
Add a `c-dataflow` example
3 years ago
Adding Rust Python Server
3 years ago
Add a `c-dataflow` example
3 years ago
Adding Rust Python Server
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Adding Rust Python Server
3 years ago
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Add initial support (input only) for Python operators
3 years ago
Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Start creating a stdio-based client interface
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
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Use local tcp sockets encoded with bincode to allow multiple outputs
3 years ago
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Create prototype for a library-based dora-rs
3 years ago
Use local tcp sockets encoded with bincode to allow multiple outputs
3 years ago
Create prototype for a library-based dora-rs
3 years ago
Use local tcp sockets encoded with bincode to allow multiple outputs
3 years ago
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Create prototype for a library-based dora-rs
3 years ago
Use local tcp sockets encoded with bincode to allow multiple outputs
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Implement stop messages for automatic operator shutdown Make all operators send a message on special stop topic when dropped. Each operator listens on the stop topics of the operators it depends on. As soon as all operators are finished, return None from the `input` stream.
3 years ago
Adding Rust Python Server
3 years ago
Implement stop messages for automatic operator shutdown Make all operators send a message on special stop topic when dropped. Each operator listens on the stop topics of the operators it depends on. As soon as all operators are finished, return None from the `input` stream.
3 years ago
Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Create an example C++ node based on Rust node API and `cxx` crate
3 years ago
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Removing `git` repo in `cargo` in preparation of release
3 years ago
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Adding Rust Python Server
3 years ago
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Fixing commentary
3 years ago
Adding Rust Python Server
3 years ago
Fixing commentary
3 years ago
Adding Rust Python Server
3 years ago
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Fixing commentary
3 years ago
Adding Rust Python Server
3 years ago
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Fixing commentary
3 years ago
Adding Rust Python Server
3 years ago
Fixing commentary
3 years ago
Adding Rust Python Server
3 years ago
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Update Cargo.lock
3 years ago
Adding Rust Python Server
3 years ago
Update Cargo.lock
3 years ago
Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Adding Rust Python Server
3 years ago
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Update zenoh version to latest `master` commit
3 years ago
Adding Rust Python Server
3 years ago
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Add Opentelemetry capabilities though capnproto messages (#24) * Multithreaded Python API and Pylot Example (#18) * Refactoring for multithreading * Refactoring code in order to use MemoryView * Resolving multi output by casting Python output type * Adding Python example runner * Adding Rayon ThreadPool for CPU bound multithreading * Adding benches * Small Refactoring of Python Binding * Adding documentation to Pylot Demo * Removing cloning states data using RwLock * Refactoring Servers to pass messages through tokio channels * Removing unwrap when possible * Splitting Zenoh function into separate module * Refactoring Zenoh into a struct * Adding several Python fix * Fix eyre issue * Adding docker for ease of build * Fixing docker problem * Reduce the frequency of source * Adding better Python Operator * Improving carla visualisation capabilities * Enabling better visualisation * adding object trajectory * Improving planning * Refactoring Python * Adding control operator * Improving planning operator * Better Control Operator * Fixing Planning Errors linked to applying Speed Factor * Fixing Docker Image Build issues * Adding a timestamp to messages * Fixing PID mutlithread errors * Drop Push Send after Pull period * Limiting the latency * Adding InfluxDB * Fixing Influxdb Naming and quota * Adding positional data * Making launching container command faster * Removing Dora-Pylot * Refactor Error Handling * Refactoring Error dubgging function Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr> * adding capnp metadata into messages * Allowing Context to propagate throughout node * Adding better tracing * Refactoring opentelemetry mod * Adding a degree parameter in messages * Adding depth for better tracing * Put a feature flag on tracing * Removing unnecessary copy of the messages * Small refactoring of messages * Refactoring of context logging * Adding opentelemetry metrics of system * Adding process telemetry * Commenting the build script * Rename feature tracing * Add documentation to module * Adding message documentation * Remove build script * skip capnp generated file * Reformating * Reformating loop * Testing example * Removing zenoh dependencies in Python * Improving example python api * removing rayon that is appearing twice due to merge * Simplifying python binding * Create a separate crate for messages * Moving `metrics` and `tracing` into separate crate * Moving `python` into a separate crate and removing `main` crate * Refactoring newly created crate * Remove `depth` from the message `metadata` * Add `capnp` installation within the CI * Add `capnp` installation into CI `clippy` step Co-authored-by: haixuanTao <hai-xuan.tao@student.ecp.fr>
3 years ago
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Removing `git` repo in `cargo` in preparation of release
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Fixing commentary
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Add a zenoh logger executable to debug the missed stop messages
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Create prototype for a library-based dora-rs
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Add basic yaml parsing and visualization via mermaid Creates a basic prototype for parsing dataflows delared in YAML files using `serde`/`serde_yaml`. The dataflow file format is just an example, we can adjust this however we like. To visualize the parsed dataflow, the main executable outputs a flowchart in mermaid syntax. GitHub supports this format natively in markdown files, alternatively it can be converted to an image on <https://mermaid.live>.
3 years ago
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  3736.  "zenoh-core",

  3737. ]

  3738. 

  3739. [[package]]

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  3746.  "flume",

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  3749.  "zenoh-core",

  3750. ]

  3751. 

  3752. [[package]]

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  3754. version = "0.6.0-dev.0"

  3755. source = "git+https://github.com/eclipse-zenoh/zenoh.git#79a136e4fd90b11ff5d775ced981af53c4f1071b"

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  3758.  "async-global-executor",

  3759.  "async-std",

  3760.  "async-trait",

  3761.  "flume",

  3762.  "log",

  3763.  "paste",

  3764.  "rand",

  3765.  "rsa",

  3766.  "serde",

  3767.  "zenoh-buffers",

  3768.  "zenoh-cfg-properties",

  3769.  "zenoh-collections",

  3770.  "zenoh-config",

  3771.  "zenoh-core",

  3772.  "zenoh-crypto",

  3773.  "zenoh-link",

  3774.  "zenoh-protocol",

  3775.  "zenoh-protocol-core",

  3776.  "zenoh-sync",

  3777. ]

  3778. 

  3779. [[package]]

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  3781. version = "0.6.0-dev.0"

  3782. source = "git+https://github.com/eclipse-zenoh/zenoh.git#79a136e4fd90b11ff5d775ced981af53c4f1071b"

  3783. dependencies = [

  3784.  "async-std",

  3785.  "clap 2.34.0",

  3786.  "futures",

  3787.  "hex",

  3788.  "home",

  3789.  "humantime",

  3790.  "lazy_static",

  3791.  "libc",

  3792.  "libloading",

  3793.  "log",

  3794.  "pnet",

  3795.  "shellexpand",

  3796.  "winapi",

  3797.  "zenoh-cfg-properties",

  3798.  "zenoh-collections",

  3799.  "zenoh-core",

  3800.  "zenoh-crypto",

  3801.  "zenoh-sync",

  3802. ]

  3803. 

  3804. [[package]]

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  3806. version = "1.4.3"

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  3808. checksum = "d68d9dcec5f9b43a30d38c49f91dfedfaac384cb8f085faca366c26207dd1619"

  3809. dependencies = [

  3810.  "zeroize_derive",

  3811. ]

  3812. 

  3813. [[package]]

  3814. name = "zeroize_derive"

  3815. version = "1.3.2"

  3816. source = "registry+https://github.com/rust-lang/crates.io-index"

  3817. checksum = "3f8f187641dad4f680d25c4bfc4225b418165984179f26ca76ec4fb6441d3a17"

  3818. dependencies = [

  3819.  "proc-macro2",

  3820.  "quote",

  3821.  "syn",

  3822.  "synstructure",

  3823. ]

DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed datafl