dora/node-hub/dora-pyrealsense/README.md

• Dora Node for capturing video with PyRealSense
• Installation
• YAML
• Inputs
• Outputs
• • Examples
  • License

Dora Node for capturing video with PyRealSense

This node is used to capture video from a camera using PyRealsense.

Installation

Make sure to use realsense udev config at https://github.com/IntelRealSense/librealsense/blob/master/doc/installation.md

You can try, the following:

wget https://raw.githubusercontent.com/IntelRealSense/librealsense/refs/heads/master/scripts/setup_udev_rules.sh

mkdir config
cd config
wget https://raw.githubusercontent.com/IntelRealSense/librealsense/refs/heads/master/scripts/config/99-realsense-libusb.rules
cd ..

chmod +x setup_udev_rules.sh

YAML

- id: opencv-video-capture
  build: pip install ../../node-hub/opencv-video-capture
  path: opencv-video-capture
  inputs:
    tick: dora/timer/millis/16 # try to capture at 60fps
  outputs:
    - image: # the captured image

  env:
    PATH: 0 # optional, default is 0

    IMAGE_WIDTH: 640 # optional, default is video capture width
    IMAGE_HEIGHT: 480 # optional, default is video capture height

Inputs

• tick: empty Arrow array to trigger the capture

Outputs

• image: an arrow array containing the captured image

## Image data
image_data: UInt8Array # Example: pa.array(img.ravel())
metadata = {
  "width": 640,
  "height": 480,
  "encoding": str, # bgr8, rgb8
}

## Example
node.send_output(
  image_data, {"width": 640, "height": 480, "encoding": "bgr8"}
  )

## Decoding
storage = event["value"]

metadata = event["metadata"]
encoding = metadata["encoding"]
width = metadata["width"]
height = metadata["height"]

if encoding == "bgr8":
    channels = 3
    storage_type = np.uint8

frame = (
    storage.to_numpy()
    .astype(storage_type)
    .reshape((height, width, channels))
)

Examples

Check example at examples/python-dataflow

License

This project is licensed under Apache-2.0. Check out NOTICE.md for more information.