pls help me unable to process to get bbox and keypoints
i feel issue with nms ie i am getting o/p from multple network so help
i have checked my .yaml and .alls files
pls help
my model o/p is eg::
6.072064 ,
-6.1785917 , -6.1785917 ]]], dtype=float32), ‘yolov8s_pose/conv71’: array([[[0. ],
[0. ],
[0. ],
[0. ],
[0. ],
[0. ],
[0. ],
[0. ],
[0. ],
[0. ],
[0. ],
[0. ]]], dtype=float32), ‘yolov8s_pose/conv72’: array([[[ 1.95950344e-01, 3.24155033e-01, 5.14985085e-01, …,
3.90325189e-01, 3.71222496e-01, 5.11440217e-01],
[-3.19034718e-02, 4.28924471e-01, 4.74613369e-01, …,
4.50587302e-01, 4.50784236e-01, 4.87414151e-01],
[-2.54440039e-01, 4.24001068e-01, 2.52273738e-01,
(hailodfc) kenny@pop-os:~/hailofinal$ hailomz compile yolov8m_pose --ckpt=/home/kenny/hailofinal/bestyolov8mpose.onnx --hw-arch hailo8l --calib-path /home/kenny/hailofinal/data_position_real --classes 1 --performance --resize 640 640
Start run for network yolov8m_pose …
Initializing the hailo8l runner…
[info] Translation started on ONNX model yolov8m_pose
[info] Restored ONNX model yolov8m_pose (completion time: 00:00:00.33)
[info] Extracted ONNXRuntime meta-data for Hailo model (completion time: 00:00:00.95)
[info] Start nodes mapped from original model: ‘images’: ‘yolov8m_pose/input_layer1’.
[info] End nodes mapped from original model: ‘/model.22/cv2.2/cv2.2.2/Conv’, ‘/model.22/cv3.2/cv3.2.2/Conv’, ‘/model.22/cv4.2/cv4.2.2/Conv’, ‘/model.22/cv2.1/cv2.1.2/Conv’, ‘/model.22/cv3.1/cv3.1.2/Conv’, ‘/model.22/cv4.1/cv4.1.2/Conv’, ‘/model.22/cv2.0/cv2.0.2/Conv’, ‘/model.22/cv3.0/cv3.0.2/Conv’, ‘/model.22/cv4.0/cv4.0.2/Conv’.
[info] Translation completed on ONNX model yolov8m_pose (completion time: 00:00:01.38)
[info] Saved HAR to: /home/kenny/hailofinal/yolov8m_pose.har
Using generic alls script found in /home/kenny/hailofinal/hailo_model_zoo/hailo_model_zoo/cfg/alls/generic/yolov8m_pose.alls because there is no specific hardware alls
Preparing calibration data…
[info] Loading model script commands to yolov8m_pose from /home/kenny/hailofinal/hailo_model_zoo/hailo_model_zoo/cfg/alls/generic/yolov8m_pose.alls
Ignoring classes parameter since the model has no NMS post-process.
[info] Appending model script commands to yolov8m_pose from string
[info] Starting Model Optimization
[warning] Reducing optimization level to 0 (the accuracy won’t be optimized and compression won’t be used) because there’s no available GPU
[warning] Running model optimization with zero level of optimization is not recommended for production use and might lead to suboptimal accuracy results
[info] Model received quantization params from the hn
[info] MatmulDecompose skipped
[info] Starting Mixed Precision
[info] Model Optimization Algorithm Mixed Precision is done (completion time is 00:00:00.49)
[info] LayerNorm Decomposition skipped
[info] Starting Statistics Collector
[info] Using dataset with 64 entries for calibration
Calibration: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 64/64 [00:29<00:00, 2.18entries/s]
[info] Model Optimization Algorithm Statistics Collector is done (completion time is 00:00:30.30)
[info] Output layer yolov8m_pose/conv60 with sigmoid activation was detected. Forcing its output range to be [0, 1] (original range was [2.098545882531475e-31, 2.421641283945064e-06]).
[info] Output layer yolov8m_pose/conv76 with sigmoid activation was detected. Forcing its output range to be [0, 1] (original range was [1.475721749055455e-18, 0.0003737891966011375]).
[info] Output layer yolov8m_pose/conv91 with sigmoid activation was detected. Forcing its output range to be [0, 1] (original range was [6.80536621127842e-26, 0.9604825973510742]).
[info] Starting Fix zp_comp Encoding
[info] Model Optimization Algorithm Fix zp_comp Encoding is done (completion time is 00:00:00.00)
[info] Matmul Equalization skipped