Hi.. trying to use the pretrained here.
I've set up the environment with conda.
SET DATADIR=E:\PhotoSketch\pretrained
python test_only.py --name pretrained --dataset_mode test_dir --dataroot examples --results_dir %DATADIR%\Exp\PhotoSketch\Results\ --checkpoints_dir %DATADIR%\Exp\PhotoSketch\Checkpoints\ --model pix2pix --which_direction AtoB --norm batch --input_nc 3 --output_nc 1 --which_model_netG resnet_9blocks --no_dropout
Which results in an error saying the pretrained data couldn't be found (but looking in the wrong location).. E:\\PhotoSketch\\pretrained\\Exp\\PhotoSketch\\Checkpoints\\pretrained\\latest_net_G.pth
(sketch) E:\PhotoSketch>scripts\test_pretrained.bat
(sketch) E:\PhotoSketch>SET DATADIR=E:\PhotoSketch\pretrained
(sketch) E:\PhotoSketch>python test_only.py --name pretrained --dataset_mode test_dir --dataroot E:\pythondf\pythondf\python-3.6.3.amd64\PhotoSketch\examples --results_dir E:\PhotoSketch\pretrained\Exp\PhotoSketch\Results\ --checkpoints_dir E:\PhotoSketch\pretrained\Exp\PhotoSketch\Checkpoints\ --model pix2pix --which_direction AtoB --norm batch --input_nc 3 --output_nc 1 --which_model_netG resnet_9blocks --no_dropout
------------ Options -------------
aspect_ratio: 1.0
aug_folder: width-5
batchSize: 1
checkpoints_dir: E:\PhotoSketch\pretrained\Exp\PhotoSketch\Checkpoints\
color_jitter: False
crop: False
dataroot: E:\pythondf\pythondf\python-3.6.3.amd64\PhotoSketch\examples
dataset_mode: test_dir
display_id: 1
display_port: 8097
display_server: http://localhost
display_winsize: 256
file_name:
fineSize: 256
gpu_ids: [0]
how_many: 50
img_mean: None
img_std: None
init_type: normal
input_nc: 3
inverse_gamma: False
isTrain: False
jitter_amount: 0.02
loadSize: 286
lst_file: None
max_dataset_size: inf
model: pix2pix
nGT: 5
nThreads: 6
n_layers_D: 3
name: pretrained
ndf: 64
ngf: 64
no_dropout: True
no_flip: False
norm: batch
ntest: inf
output_nc: 1
phase: test
pretrain_path:
render_dir: sketch-rendered
resize_or_crop: resize_and_crop
results_dir: E:\PhotoSketch\pretrained\Exp\PhotoSketch\Results\
rot_int_max: 3
rotate: False
serial_batches: False
stroke_dir:
stroke_no_couple: False
suffix:
which_direction: AtoB
which_epoch: latest
which_model_netD: basic
which_model_netG: resnet_9blocks
-------------- End ----------------
CustomDatasetDataLoader
dataset [TestDirDataset] was created
pix2pix
initialization method [normal]
Traceback (most recent call last):
File "test_only.py", line 17, in <module>
model = create_model(opt)
File "E:\PhotoSketch\models\models.py", line 10, in create_model
model.initialize(opt)
File "E:\PhotoSketch\models\pix2pix_model.py", line 30, in initialize
self.load_network(self.netG, 'G', opt.which_epoch)
File "E:\PhotoSketch\models\base_model.py", line 56, in load_network
network.load_state_dict(torch.load(save_path))
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\site-packages\torch\serialization.py", line 265, in load
f = open(f, 'rb')
FileNotFoundError: [Errno 2] No such file or directory: 'E:\\PhotoSketch\\pretrained\\Exp\\PhotoSketch\\Checkpoints\\pretrained\\latest_net_G.pth'
model [Pix2PixModel] was created
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="__mp_main__")
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "E:\PhotoSketch\test_only.py", line 20, in <module>
for i, data in enumerate(dataset):
File "E:\PhotoSketch\data\custom_dataset_data_loader.py", line 41, in __iter__
for i, data in enumerate(self.dataloader):
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\site-packages\torch\utils\data\dataloader.py", line 417, in __iter__
return DataLoaderIter(self)
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\site-packages\torch\utils\data\dataloader.py", line 234, in __init__
w.start()
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\multiprocessing\popen_spawn_win32.py", line 33, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "C:\Users\MyUserId\Miniconda3\envs\sketch\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
is not going to be frozen to produce an executable.''')
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent