cam_full_arr[k+1] = v out of bounds

[shifan-Z]

Thanks for posting your excellent code!
I met some problems when using the code. In line95, the npy files store the information of classes in a training sample. The max k in line 98 is 21 for the VOC dataset, because the VOC dataset contains 21 categories. In line 99, the index will out of the bound, because k+1 can vbe 22 But cam_full_arr's size is 21. How can I do to solve the error?
And what does the line 100 mean? What is filled in the cam_full_arr[0]? I am confused.

SEAM/infer_aff.py

Lines 95 to 100 in 3212261

	cam = np.load(os.path.join(args.cam_dir, name + '.npy'), allow_pickle=True).item()
	cam_full_arr = np.zeros((21, orig_shape[2], orig_shape[3]), np.float32)
	for k, v in cam.items():
	cam_full_arr[k+1] = v
	cam_full_arr[0] = (1 - np.max(cam_full_arr[1:], (0), keepdims=False))**args.alpha

Looking forward to your reply.

[YudeWang]

Hi @shifan-Z ,
The channel number of saved CAM is 20 instead of 21.

SEAM/infer_SEAM.py

Lines 79 to 85 in 3212261

	cam_dict = {}
	for i in range(20):
	if label[i] > 1e-5:
	cam_dict[i] = norm_cam[i]
	if args.out_cam is not None:
	np.save(os.path.join(args.out_cam, img_name + '.npy'), cam_dict)

[shifan-Z]

Thank you so much! So is the cam_full_arr[0] for the background?