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postprocessing: hailo: Add multi-network example stage
hailo_pose_inf_fl.json run object detection, pose estimation, and facial landmarking networks simultaneously. Signed-off-by: Naushir Patuck <[email protected]>
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{ | ||
"rpicam-apps": | ||
{ | ||
"lores": | ||
{ | ||
"width": 640, | ||
"height": 640, | ||
"format": "rgb", | ||
"par": true | ||
} | ||
}, | ||
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"hailo_yolo_pose": | ||
{ | ||
"hef_file": "/usr/share/hailo-models/yolov8s_pose_h8.hef" | ||
}, | ||
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"hailo_yolo_inference": | ||
{ | ||
"hef_file": "/usr/share/hailo-models/yolov8s_h8.hef", | ||
"max_detections": 20, | ||
"threshold": 0.4, | ||
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"temporal_filter": | ||
{ | ||
"tolerance": 0.1, | ||
"factor": 0.75, | ||
"visible_frames": 6, | ||
"hidden_frames": 3 | ||
} | ||
}, | ||
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"hailo_scrfd": | ||
{ | ||
"hef_file": "/usr/share/hailo-models/scrfd_2.5g_h8l.hef" | ||
}, | ||
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"object_detect_draw_cv": | ||
{ | ||
"line_thickness" : 2 | ||
} | ||
} |
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