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dora/examples/python-dataflow/dataflow_yolo.yml

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  1. nodes:

  2.   - id: camera

  3.     build: pip install ../../node-hub/opencv-video-capture

  4.     path: opencv-video-capture

  5.     inputs:

  6.       tick: plot/tick

  7. 

  8.     outputs:

  9.       - image

  10. 

  11.     env:

  12.       CAPTURE_PATH: 0

  13.       IMAGE_WIDTH: 640

  14.       IMAGE_HEIGHT: 480

  15. 

  16.   - id: object-detection

  17.     build: pip install ../../node-hub/ultralytics-yolo

  18.     path: ultralytics-yolo

  19.     inputs:

  20.       image:

  21.         source: camera/image

  22.         queue_size: 1

  23. 

  24.     outputs:

  25.       - bbox

  26.     env:

  27.       MODEL: yolov5n.pt

  28. 

  29.   - id: plot

  30.     build: pip install ../../node-hub/opencv-plot

  31.     path: opencv-plot

  32.     inputs:

  33.       image:

  34.         source: camera/image

  35.         queue_size: 1

  36. 

  37.       bbox: object-detection/bbox

  38. 

  39.       tick:

  40.         source: dora/timer/millis/16 # this node display a window, so it's better to deflect the timer, so when the window is closed, the ticks are not sent anymore in the graph

  41.         queue_size: 1

  42. 

  43.     outputs:

  44.       - tick