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Hello,
I'm having an issue regarding the dataset preparation process here is the error:
loading VGG model...
training datasets: 9273 test datasets: 1031
scanning all images for human part labels ...
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10304/10304 [07:30<00:00, 22.87it/s]
training datasets: 0 test datasets: 0
found 3785 images
Epoch 1 : training...
0it [00:00, ?it/s]Traceback (most recent call last):
File "train.py", line 113, in
model, optimizer, train_mean_loss, train_ac, train_IoU = train(model, optimizer, MiniBatchLoader, train_mean_loss, train_ac, train_IoU)
File "train.py", line 27, in train
for X, y in tqdm(MiniBatchLoader):
File "C:\Users\Lenovo\AppData\Local\Programs\Python\Python36\lib\site-packages\tqdm_tqdm.py", line 962, in iter
for obj in iterable:
TypeError: iter() returned non-iterator of type 'MiniBatchLoader'
could anyone help me please it's URGENT
The text was updated successfully, but these errors were encountered:
Hello,
I'm having an issue regarding the dataset preparation process here is the error:
loading VGG model...
training datasets: 9273 test datasets: 1031
scanning all images for human part labels ...
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10304/10304 [07:30<00:00, 22.87it/s]
training datasets: 0 test datasets: 0
found 3785 images
Epoch 1 : training...
0it [00:00, ?it/s]Traceback (most recent call last):
File "train.py", line 113, in
model, optimizer, train_mean_loss, train_ac, train_IoU = train(model, optimizer, MiniBatchLoader, train_mean_loss, train_ac, train_IoU)
File "train.py", line 27, in train
for X, y in tqdm(MiniBatchLoader):
File "C:\Users\Lenovo\AppData\Local\Programs\Python\Python36\lib\site-packages\tqdm_tqdm.py", line 962, in iter
for obj in iterable:
TypeError: iter() returned non-iterator of type 'MiniBatchLoader'
could anyone help me please it's URGENT
The text was updated successfully, but these errors were encountered: