You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi,Thanks for your sharing.I met a problem as follows when i run train.py train.py:125: UserWarning: volatile was removed and now has no effect. Use with torch.no_grad():instead. img = Variable(img, volatile=True).cuda() train.py:126: UserWarning: volatile was removed and now has no effect. Usewith torch.no_grad(): instead. gt_map = Variable(gt_map, volatile=True).cuda() Traceback (most recent call last): File "train.py", line 205, in <module> main() File "train.py", line 81, in main validate(val_loader, net, epoch, restore_transform) File "train.py", line 141, in validate gt_count_tmp = gt_count[i_img] IndexError: index 1 is out of bounds for axis 0 with size 1
This happend in validate(),is there something wrong in this function? I have print the gt_count.shape,it equals to (1,),and pred_map.shape equals to (768,1024),and i don't understand why use gt_count_tmp=gt_count[0] in line 141 of train.py.
Thanks for your reply.
The text was updated successfully, but these errors were encountered:
Hi,Thanks for your sharing.I met a problem as follows when i run train.py
train.py:125: UserWarning: volatile was removed and now has no effect. Use
with torch.no_grad():instead. img = Variable(img, volatile=True).cuda() train.py:126: UserWarning: volatile was removed and now has no effect. Use
with torch.no_grad():instead. gt_map = Variable(gt_map, volatile=True).cuda() Traceback (most recent call last): File "train.py", line 205, in <module> main() File "train.py", line 81, in main validate(val_loader, net, epoch, restore_transform) File "train.py", line 141, in validate gt_count_tmp = gt_count[i_img] IndexError: index 1 is out of bounds for axis 0 with size 1
This happend in validate(),is there something wrong in this function? I have print the gt_count.shape,it equals to (1,),and pred_map.shape equals to (768,1024),and i don't understand why use
gt_count_tmp=gt_count[0]
in line 141 of train.py.Thanks for your reply.
The text was updated successfully, but these errors were encountered: