pipeline_people_ip.yaml

Pipelines:
- name: people
  inputs: [IpCamera]
  input_path: "rtsp://"
  infers:
    - name: FaceDetection
      model: /opt/openvino_toolkit/models/intel/face-detection-adas-0001/FP32/face-detection-adas-0001.xml
      engine: CPU
      label: /opt/openvino_toolkit/models/intel/face-detection-adas-0001/FP16/face-detection-adas-0001.labels
      batch: 1
      confidence_threshold: 0.5
      enable_roi_constraint: true # set enable_roi_constraint to false if you don't want to make the inferred ROI (region of interest) constrained into the camera frame
    - name: AgeGenderRecognition
      model: /opt/openvino_toolkit/models/intel/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml
      engine: CPU
      label: to/be/set/xxx.labels
      batch: 16
    - name: EmotionRecognition
      model: /opt/openvino_toolkit/models/intel/emotions-recognition-retail-0003/FP32/emotions-recognition-retail-0003.xml
      engine: CPU
      label: /opt/openvino_toolkit/models/intel/emotions-recognition-retail-0003/FP32/emotions-recognition-retail-0003.labels
      batch: 16
    - name: HeadPoseEstimation
      model: /opt/openvino_toolkit/models/intel/head-pose-estimation-adas-0001/FP32/head-pose-estimation-adas-0001.xml
      engine: CPU
      label: to/be/set/xxx.labels
      batch: 16
  outputs: [ImageWindow, RosTopic, RViz]
  connects:
    - left: IpCamera
      right: [FaceDetection]
    - left: FaceDetection
      right: [AgeGenderRecognition, EmotionRecognition, HeadPoseEstimation, ImageWindow, RosTopic, RViz]
    - left: AgeGenderRecognition
      right: [ImageWindow, RosTopic, RViz]
    - left: EmotionRecognition
      right: [ImageWindow, RosTopic, RViz]
    - left: HeadPoseEstimation
      right: [ImageWindow, RosTopic, RViz]

OpenvinoCommon: