I'm using this code to load the yolov5 model model = torch.hub.load('ultralytics/yolov5', 'custom', 'C:\Object Detection\yolov5_object_detection\last.pt')
and how can I retrieve the confidence value after the model detected on an image?
model = torch.hub.load('ultralytics/yolov5', 'yolov5s', pretrained=True)
model.eval()
det = model(img)
for *xyxy, conf, cls in det:
print(*xyxy)
print(conf) # what you are looking for
print(cls)
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