cmvr_edge_ai/configs/server_detect.yaml

# Passive Detect Server deployment example.
api_version: cmvr.edge.ai/v1

runtime:
  thread_workers: 2

server:
  enabled: true
  http:
    bind: 127.0.0.1
    port: 8081
    # 绑定局域网地址时必须设置 bearer_token，并配置下面两项 TLS；只有受信隔离网络
    # 才应改用 allow_insecure_remote: true 明文传输 token。
    # bearer_token: env://CMVR_EDGE_AI_BEARER_TOKEN
    # tls_certfile: /etc/cmvr-edge-ai/tls/server.crt
    # tls_keyfile: /etc/cmvr-edge-ai/tls/server.key
    request_timeout_s: 30
    max_request_bytes: 16777216
    max_image_bytes: 10485760
  routes:
    detect.ppe:
      pipeline: detect_ppe
      model_id: construction-ppe-yolov8@2
      queue_capacity: 4
    detect.mobile_phone:
      pipeline: detect_mobile_phone
      model_id: yolov8n-mobile-phone@2
      queue_capacity: 4

# Public clients know only the route categories above. Model IDs, weights and
# devices remain in this server-owned configuration.
pipelines:
  detect_ppe:
    nodes:
      request_source:
        uses: server.request_source@1
        with:
          category: detect.ppe

      image_decoder:
        uses: media.image_decoder.pillow@1
        with:
          input_name: image
          pixel_format: BGR8
          max_pixels: 25000000
          accepted_media_types: [image/jpeg, image/png]

      detector:
        uses: detection.model@1
        with:
          model: construction-ppe-yolov8@2
          confidence: 0.50
          # Passive requests must all produce a response, so this pipeline does
          # not configure max_fps or any frame-dropping edge.
          attach_frame: true
          model_options:
            weights: models/detection/construction-ppe-yolov8/v2/model.onnx
            providers: [CPUExecutionProvider]
            intra_op_threads: 1
            inter_op_threads: 1
            imgsz: 640
            iou: 0.70
            max_det: 100

      response:
        uses: server.detection_response@1
        with:
          category: detect.ppe
          backend: onnxruntime-yolov8
          jpeg_quality: 85

      response_sink:
        uses: server.response_sink@1

    edges:
      - from: request_source.requests
        to: image_decoder.requests
        qos: &ppe_request_qos
          profile: request
          capacity: 4
          overflow: block
      - from: image_decoder.frames
        to: detector.frames
        qos: *ppe_request_qos
      - from: detector.detections
        to: response.detections
        qos: *ppe_request_qos
      - from: response.responses
        to: response_sink.responses
        qos: *ppe_request_qos

  detect_mobile_phone:
    nodes:
      request_source:
        uses: server.request_source@1
        with:
          category: detect.mobile_phone

      image_decoder:
        uses: media.image_decoder.pillow@1
        with:
          input_name: image
          pixel_format: BGR8
          max_pixels: 25000000
          accepted_media_types: [image/jpeg, image/png]

      detector:
        uses: detection.model@1
        with:
          model: yolov8n-mobile-phone@2
          detect_labels: [mobile_phone]
          confidence: 0.50
          attach_frame: true
          model_options:
            weights: models/detection/yolov8n-mobile-phone/v2/model.onnx
            providers: [CPUExecutionProvider]
            intra_op_threads: 1
            inter_op_threads: 1
            imgsz: 640
            iou: 0.70
            max_det: 100

      response:
        uses: server.detection_response@1
        with:
          category: detect.mobile_phone
          backend: onnxruntime-yolov8
          jpeg_quality: 85

      response_sink:
        uses: server.response_sink@1

    edges:
      - from: request_source.requests
        to: image_decoder.requests
        qos: &phone_request_qos
          profile: request
          capacity: 4
          overflow: block
      - from: image_decoder.frames
        to: detector.frames
        qos: *phone_request_qos
      - from: detector.detections
        to: response.detections
        qos: *phone_request_qos
      - from: response.responses
        to: response_sink.responses
        qos: *phone_request_qos