149 lines
4.1 KiB
YAML
149 lines
4.1 KiB
YAML
# Passive Detect Server deployment example.
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api_version: cmvr.edge.ai/v1
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runtime:
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thread_workers: 2
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server:
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enabled: true
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http:
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bind: 127.0.0.1
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port: 8081
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# 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
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# 才应改用 allow_insecure_remote: true 明文传输 token。
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# bearer_token: env://CMVR_EDGE_AI_BEARER_TOKEN
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# tls_certfile: /etc/cmvr-edge-ai/tls/server.crt
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# tls_keyfile: /etc/cmvr-edge-ai/tls/server.key
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request_timeout_s: 30
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max_request_bytes: 16777216
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max_image_bytes: 10485760
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routes:
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detect.ppe:
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pipeline: detect_ppe
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model_id: construction-ppe-yolov8@2
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queue_capacity: 4
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detect.mobile_phone:
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pipeline: detect_mobile_phone
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model_id: yolov8n-mobile-phone@2
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queue_capacity: 4
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# Public clients know only the route categories above. Model IDs, weights and
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# devices remain in this server-owned configuration.
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pipelines:
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detect_ppe:
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nodes:
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request_source:
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uses: server.request_source@1
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with:
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category: detect.ppe
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image_decoder:
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uses: media.image_decoder.pillow@1
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with:
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input_name: image
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pixel_format: BGR8
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max_pixels: 25000000
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accepted_media_types: [image/jpeg, image/png]
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detector:
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uses: detection.model@1
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with:
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model: construction-ppe-yolov8@2
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confidence: 0.50
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# Passive requests must all produce a response, so this pipeline does
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# not configure max_fps or any frame-dropping edge.
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attach_frame: true
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model_options:
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weights: models/detection/construction-ppe-yolov8/v2/model.onnx
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providers: [CPUExecutionProvider]
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intra_op_threads: 1
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inter_op_threads: 1
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imgsz: 640
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iou: 0.70
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max_det: 100
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response:
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uses: server.detection_response@1
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with:
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category: detect.ppe
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backend: onnxruntime-yolov8
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jpeg_quality: 85
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response_sink:
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uses: server.response_sink@1
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edges:
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- from: request_source.requests
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to: image_decoder.requests
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qos: &ppe_request_qos
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profile: request
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capacity: 4
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overflow: block
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- from: image_decoder.frames
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to: detector.frames
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qos: *ppe_request_qos
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- from: detector.detections
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to: response.detections
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qos: *ppe_request_qos
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- from: response.responses
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to: response_sink.responses
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qos: *ppe_request_qos
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detect_mobile_phone:
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nodes:
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request_source:
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uses: server.request_source@1
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with:
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category: detect.mobile_phone
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image_decoder:
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uses: media.image_decoder.pillow@1
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with:
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input_name: image
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pixel_format: BGR8
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max_pixels: 25000000
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accepted_media_types: [image/jpeg, image/png]
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detector:
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uses: detection.model@1
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with:
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model: yolov8n-mobile-phone@2
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detect_labels: [mobile_phone]
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confidence: 0.50
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attach_frame: true
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model_options:
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weights: models/detection/yolov8n-mobile-phone/v2/model.onnx
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providers: [CPUExecutionProvider]
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intra_op_threads: 1
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inter_op_threads: 1
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imgsz: 640
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iou: 0.70
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max_det: 100
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response:
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uses: server.detection_response@1
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with:
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category: detect.mobile_phone
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backend: onnxruntime-yolov8
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jpeg_quality: 85
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response_sink:
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uses: server.response_sink@1
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edges:
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- from: request_source.requests
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to: image_decoder.requests
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qos: &phone_request_qos
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profile: request
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capacity: 4
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overflow: block
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- from: image_decoder.frames
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to: detector.frames
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qos: *phone_request_qos
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- from: detector.detections
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to: response.detections
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qos: *phone_request_qos
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- from: response.responses
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to: response_sink.responses
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qos: *phone_request_qos
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