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requirements.txt 1.3 kB

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  1. # YOLOv5 requirements
  2. # Usage: pip install -r requirements.txt
  3. # Base ----------------------------------------
  4. ultralytics
  5. gitpython
  6. ipython # interactive notebook
  7. matplotlib>=3.2.2
  8. numpy>=1.18.5
  9. opencv-python>=4.1.1
  10. Pillow>=7.1.2
  11. psutil # system resources
  12. PyYAML>=5.3.1
  13. requests>=2.23.0
  14. scipy>=1.4.1
  15. thop>=0.1.1 # FLOPs computation
  16. --extra-index-url https://download.pytorch.org/whl/cpu
  17. torch>=1.7.0 # see https://pytorch.org/get-started/locally (recommended)
  18. --extra-index-url https://download.pytorch.org/whl/cpu
  19. torchvision>=0.8.1
  20. tqdm>=4.64.0
  21. # Logging -------------------------------------
  22. tensorboard>=2.4.1
  23. # wandb
  24. # clearml
  25. # Plotting ------------------------------------
  26. pandas>=1.1.4
  27. seaborn>=0.11.0
  28. # Export --------------------------------------
  29. # coremltools>=5.2 # CoreML export
  30. # onnx>=1.9.0 # ONNX export
  31. # onnx-simplifier>=0.4.1 # ONNX simplifier
  32. # nvidia-pyindex # TensorRT export
  33. # nvidia-tensorrt # TensorRT export
  34. # scikit-learn==0.19.2 # CoreML quantization
  35. # tensorflow>=2.4.1 # TFLite export (or tensorflow-cpu, tensorflow-aarch64)
  36. # tensorflowjs>=3.9.0 # TF.js export
  37. # openvino-dev # OpenVINO export
  38. # Extras --------------------------------------
  39. # albumentations>=1.0.3
  40. # pycocotools>=2.0 # COCO mAP
  41. # roboflow
  42. opencv-python>=4.1.1
  43. maturin

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