Savant/samples/source_adapter_with_json_metadata/demo.yml at develop · Bipolar-Factory/Savant · GitHub

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# module name, required
name: ${oc.env:MODULE_NAME, 'demo'}

# base module parameters
parameters:
  # pipeline processing frame parameters
  frame:
    width: 1280
    height: 720
  output_frame:
    codec: ${oc.env:CODEC, 'jpeg'}
  # PyFunc for drawing on frames (default implementation)
  draw_func:
    rendered_objects:
      yolov8m:
        person:
          bbox:
            border_color: 'FF0000FF'  # Red
            background_color: '00000000'  # transparent
            thickness: 5
          label:
            # RGBA color values for person label's font and background
            font_color: '000000ff'
            background_color: 'FF0000FF'
            position:
              position: 'TopLeftInside'
      coco:
        person:
          bbox:
            border_color: '00FF00FF'  # Green
            background_color: '00000000'  # transparent
            thickness: 5
            padding:
              top: 10
              left: 10
              bottom: 10
              right: 10

          label:
            # RGBA color values for person label's font and background
            font_color: '000000ff'
            background_color: 'FF0000FF'
            position:
              position: 'TopLeftOutside'

# pipeline definition
pipeline:
  # source definition is skipped, zeromq source is used by default to connect with source adapters

  # define pipeline's main elements
  elements:
    # detector
    - element: nvinfer@detector
      name: yolov8m
      model:
        remote:
          url: s3://savant-data/models/yolov8m_f630b10/yolov8m_f630b10.zip
          checksum_url: s3://savant-data/models/yolov8m_f630b10/yolov8m_f630b10.md5
          parameters:
            endpoint: https://eu-central-1.linodeobjects.com
        format: onnx
        config_file: config_infer_primary_yoloV8.txt
        # max GPU RAM used to build the engine, 6GB by default
        # set lower than total GPU RAM available on your hardware
        workspace_size: 6144
        output:
          objects:
            - class_id: 0
              label: person

    - element: pyfunc
      module: samples.source_adapter_with_json_metadata.metric
      class_name: IOU
      kwargs:
        ground_truth: coco
        element_name: yolov8m