Lornatang/SRGAN-PyTorch
A simple and complete implementation of super-resolution paper.
PythonApache-2.0
Issues
- 0
does it support upscale==1.5
#97 opened by Serenagirl - 1
training performance issue
#96 opened by lixuanfeng-1 - 3
There is no scheduler at saving checkpoint
#92 opened by Hyungson - 3
About Training with SRGAN
#82 opened by vegetableclean - 4
- 0
- 2
- 1
Test out of memory
#87 opened by XYZ-916 - 1
test.py doesnt save results
#93 opened by ahmozn - 0
AssertionError: Supplied images have different sizes torch.Size([1, 3, 2048, 2048]) and torch.Size([1, 3, 128, 128])
#91 opened by Wbbbijk - 1
The dataset have changed?
#89 opened by 761qgmpgz943 - 4
Issues running the test.py
#88 opened by acamargofb - 3
TypeError: 'type' object is not subscriptable
#73 opened by angrebobo - 1
Train Code
#85 opened by GeekLeone - 1
- 1
pretrained models
#64 opened by junghyun-avikus - 1
train_gan.py : Model weight file not found, state_dict Missing key(s), Unexpected key(s)
#84 opened by syt06162 - 5
upscale_factor has no effect
#56 opened by eformx - 5
about upscale==3
#83 opened by tarxs - 1
Traceback (most recent call last): File "F:\SRGAN-PyTorch-main\test.py", line 190, in <module> main() File "F:\SRGAN-PyTorch-main\test.py", line 169, in main config["ONLY_TEST_Y_CHANNEL"], KeyError: 'ONLY_TEST_Y_CHANNEL'
#81 opened by colorfulorange666 - 4
TypeError: discriminator_for_vgg() got an unexpected keyword argument 'in_channels'
#80 opened by numanashraf - 3
The amp
#70 opened by Jihnjockey - 0
ema_model
#68 opened by Jihnjockey - 1
model_weights_path
#79 opened by LUAN-ZHEN - 6
TypeError: unsupported operand type(s) for |: 'torch._C._TensorMeta' and 'type'
#74 opened by Satyajit1993 - 1
How do you test the SRResNet Models?
#77 opened by mlellouch - 1
TypeError: preprocess_one_image() missing 2 required positional arguments: 'half' and 'device'
#78 opened by yxh360680759 - 1
Resnet Models num_blocks
#75 opened by mlellouch - 4
TypeError: 'type' object is not subscriptable
#63 opened by gustavobsch - 4
loss of generator
#69 opened by Jihnjockey - 9
TypeError: unsupported operand type(s) for |
#66 opened by AnSMru - 1
When extracting features with the VGG, at what layer level do we stop on the VGG?
#67 opened by jojupiter - 1
Torch not compiled with CUDA enabled
#71 opened by charleneguillaumot - 1
validset
#60 opened by Jihnjockey - 0
pretrained_g_model_weights_path
#62 opened by sooxie - 1
Pretrained Models
#61 opened by loudis3 - 1
ImageNet dataset
#59 opened - 1
Unnecessary 'not' in line 38 in file 'test.py
#57 opened by itayalm - 1
- 16
CUDA out of memory
#55 opened by leminhhuy132 - 2
- 3
Modify the upscale_factor param
#50 opened by nguyendung1612 - 13
D(SR) = 0 and D(HR) = 1
#46 opened by valentin-fngr - 4
Scheduler
#53 opened by leminhhuy132 - 2
- 1
Looking for old checkpoints (v0.2.2)
#51 opened by dberga - 4
Pre-trained Discriminator model cannot load
#49 opened by leminhhuy132 - 2
can't find RRDBNet weight
#48 opened by sunnshinny - 1
- 1