How did you test your pix2pix model about instagan HOT 3 CLOSED

I had train the pix2pix model in your code. Then I want to test the model, and run: python test.py --dataroot ./datasets/test_photo2pants_pix2pix --model pix2pix --name photos2pants_ccp_pix2pix --loadSizeH 240 --loadSizeW 160 --fineSizeH 240 --fineSizeW 160
But it didn't work since it raised the AttributeError again.
dataset [AlignedDataset] was created
initialize network with normal
model [Pix2PixModel] was created
loading the model from ./checkpoints\photos2pants_ccp_pix2pix\latest_net_G.pth
---------- Networks initialized -------------
[Network G] Total number of parameters : 11.383 M

Traceback (most recent call last):
File "test.py", line 29, in
for i, data in enumerate(dataset):
File "D:\MINE\STUDY in SYSU\SmartLLV\Papers\instagan-master\data_init_.py", line 72, in iter
for i, data in enumerate(self.dataloader):
File "D:\devcool\Anaconda2\envs\python36\lib\site-packages\torch\utils\data\dataloader.py", line 286, in next
return self._process_next_batch(batch)
File "D:\devcool\Anaconda2\envs\python36\lib\site-packages\torch\utils\data\dataloader.py", line 307, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
AttributeError: Traceback (most recent call last):
File "D:\devcool\Anaconda2\envs\python36\lib\site-packages\torch\utils\data\dataloader.py", line 57, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "D:\devcool\Anaconda2\envs\python36\lib\site-packages\torch\utils\data\dataloader.py", line 57, in
samples = collate_fn([dataset[i] for i in batch_indices])
File "D:\MINE\STUDY in SYSU\SmartLLV\Papers\instagan-master\data\aligned_dataset.py", line 26, in getitem
assert(self.opt.loadSize >= self.opt.fineSize)
AttributeError: 'Namespace' object has no attribute 'fineSize'

from instagan.

Since you did't use fineSize and loadSize, I put the photos in the foIder testA and new another empty folder testB, and I choose the option --dataset_mode unaligned，and run：python test.py --dataroot ./datasets/test_photo2pants_pix2pix --model pix2pix --name photos2pants_ccp_pix2pix --loadSizeH 240 --loadSizeW 160 --fineSizeH 240 --fineSizeW 160 --dataset_mode unaligned.

Then here raised another error. It seems the testB can't be empty. However, If I want to test the pix2pix model there is nothing I can put in the testB folder.

dataset [UnalignedDataset] was created
initialize network with normal
model [Pix2PixModel] was created
loading the model from ./checkpoints\photos2pants_ccp_pix2pix\latest_net_G.pth
---------- Networks initialized -------------
[Network G] Total number of parameters : 11.383 M

Traceback (most recent call last):
File "test.py", line 29, in
for i, data in enumerate(dataset):
File "D:\MINE\STUDY in SYSU\SmartLLV\Papers\instagan-master\data_init_.py", line 72, in iter
for i, data in enumerate(self.dataloader):
File "D:\devcool\Anaconda2\envs\python36\lib\site-packages\torch\utils\data\dataloader.py", line 286, in next
return self._process_next_batch(batch)
File "D:\devcool\Anaconda2\envs\python36\lib\site-packages\torch\utils\data\dataloader.py", line 307, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
ZeroDivisionError: Traceback (most recent call last):
File "D:\devcool\Anaconda2\envs\python36\lib\site-packages\torch\utils\data\dataloader.py", line 57, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "D:\devcool\Anaconda2\envs\python36\lib\site-packages\torch\utils\data\dataloader.py", line 57, in
samples = collate_fn([dataset[i] for i in batch_indices])
File "D:\MINE\STUDY in SYSU\SmartLLV\Papers\instagan-master\data\unaligned_dataset.py", line 31, in getitem
index_B = index % self.B_size
ZeroDivisionError: integer division or modulo by zero

from instagan.

Yes both testA and testB should not be empty. Since I wanted to change the code minimally, I simply put garbage data in testB and run the model.

from instagan.