self.model(img, augment=False) does not work about yolov5-gradcam HOT 2 OPEN

May I ask if your problem has been resolved? I have also encountered the same problem

Traceback (most recent call last):
File "D:\jupyter\pythonProject\yolov5-gradcam-master\main.py", line 124, in
main(args.img_path)
File "D:\jupyter\pythonProject\yolov5-gradcam-master\main.py", line 67, in main
saliency_method = YOLOV5GradCAM(model=model, layer_name=args.target_layer, img_size=input_size)
File "D:\jupyter\pythonProject\yolov5-gradcam-master\models\gradcam.py", line 44, in init
self.model(torch.zeros(1, 3, *img_size, device=device))
File "C:\Users\y\AppData\Roaming\Python\Python39\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "D:\jupyter\pythonProject\yolov5-gradcam-master\models\yolo_v5_object_detector.py", line 167, in forward
prediction, logits, _ = self.model(img, augment=False)
ValueError: not enough values to unpack (expected 3, got 2)

from yolov5-gradcam.

Waiting for your reply

from yolov5-gradcam.