The problem is while compiling the gpus are being detected but optimization is set to 0
[info] No GPU chosen, Selected GPU 1
Start run for network yolov8n_seg …
Initializing the hailo8 runner…
[info] Translation started on ONNX model yolov8n_seg
[info] Restored ONNX model yolov8n_seg (completion time: 00:00:00.12)
[info] Extracted ONNXRuntime meta-data for Hailo model (completion time: 00:00:01.04)
[info] Start nodes mapped from original model: ‘images’: ‘yolov8n_seg/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’, ‘/model.22/proto/cv3/act/Mul’.
[info] Translation completed on ONNX model yolov8n_seg (completion time: 00:00:02.26)
[info] Saved HAR to: /home/aftondil/hailo/yolov8n_seg.har
Using generic alls script found in /home/aftondil/miniconda3/envs/yolo/lib/python3.11/site-packages/hailo_model_zoo/cfg/alls/generic/yolov8n_seg.alls because there is no specific hardware alls
Preparing calibration data…
[info] Loading model script commands to yolov8n_seg from /home/aftondil/miniconda3/envs/yolo/lib/python3.11/site-packages/hailo_model_zoo/cfg/alls/generic/yolov8n_seg.alls
Ignoring classes parameter since the model has no NMS post-process.
[info] Appending model script commands to yolov8n_seg from string
[info] Found model with 3 input channels, using real RGB images for calibration instead of sampling random data.
[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