Thank you for your great work. I don't know if it's convenient for you to provide the code of your training process?

That's it. tks

Hi, when running your test program, i met this question? I cannot handle it. Can you help me? Thank you!

Traceback (most recent call last):
File "test.py", line 28, in
net = Dehaze()
File "C:\Users\zyq\Desktop\ktdn\model.py", line 255, in init
res2net101.load_state_dict(model_zoo.load_url(model_urls['res2net101_v1b_26w_4s']))
File "D:\anaconda\envs\dehaze\lib\site-packages\torch\hub.py", line 559, in load_state_dict_from_url
return torch.load(cached_file, map_location=map_location)
File "D:\anaconda\envs\dehaze\lib\site-packages\torch\serialization.py", line 595, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "D:\anaconda\envs\dehaze\lib\site-packages\torch\serialization.py", line 774, in _legacy_load
result = unpickler.load()
File "D:\anaconda\envs\dehaze\lib\site-packages\torch\serialization.py", line 730, in persistent_load
deserialized_objects[root_key] = restore_location(obj, location)
File "D:\anaconda\envs\dehaze\lib\site-packages\torch\serialization.py", line 175, in default_restore_location
result = fn(storage, location)
File "D:\anaconda\envs\dehaze\lib\site-packages\torch\serialization.py", line 151, in _cuda_deserialize
device = validate_cuda_device(location)
File "D:\anaconda\envs\dehaze\lib\site-packages\torch\serialization.py", line 135, in validate_cuda_device
raise RuntimeError('Attempting to deserialize object on a CUDA '
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the C
PU.