DeamNet|FileNotFoundError: [WinError 3] 系统找不到指定的路径。: ‘./Datasettest\\Set12‘

D:\ProgramData\Anaconda3\envs\python36\python.exe "D:/Papers to read/2022.07/Adaptive Consistency Prior based Deep Network for Image_Denoising/DeamNet-main/DeamNet-main/train.py"
Traceback (most recent call last):
  File "D:/Papers to read/2022.07/Adaptive Consistency Prior based Deep Network for Image_Denoising/DeamNet-main/DeamNet-main/train.py", line 148, in <module>
    test_set = get_eval_set(os.path.join(opt.data_dir+'test', opt.test_dataset), opt.upscale_factor)
  File "D:\Papers to read\2022.07\Adaptive Consistency Prior based Deep Network for Image_Denoising\DeamNet-main\DeamNet-main\data.py", line 19, in get_eval_set
    transform=transform())
  File "D:\Papers to read\2022.07\Adaptive Consistency Prior based Deep Network for Image_Denoising\DeamNet-main\DeamNet-main\dataset.py", line 116, in __init__
    self.image_filenames = [join(lr_dir, x) for x in listdir(lr_dir) if is_image_file(x)]
FileNotFoundError: [WinError 3] 系统找不到指定的路径。: './Datasettest\\Set12'
Namespace(Ispretrained=True, Isreal=False, batchSize=8, data_augmentation=True, data_dir='./Dataset', gpus=1, hr_train_dataset='DIV2K_train_HR', lr=0.0001, model_type='Deam', nEpochs=2000, noiseL=25, patch_size=128, pretrained='./Deam_models', pretrained_sr='noise25.pth', save_folder='./checkpoint/', seed=123, start_iter=1, statistics='./statistics/', testBatchSize=1, test_dataset='Set12', threads=4, upscale_factor=1, val_noiseL=25)
===> Loading datasets

搜了好多，根据报错现实的命名空间来看，应该是data_dir的路径设置不对，找了好久终于找到定义data_dir路径的代码了

parser.add_argument('--data_dir', type=str, default='./Dataset', help='the dataset dir')

修改

parser.add_argument('--data_dir', type=str, default='D:/Papers to read/2022.07/DeamNet-main/DeamNet-main/Dataset/test', help='the dataset dir')

也不对，报错

D:\ProgramData\Anaconda3\envs\python36\python.exe "D:/Papers to read/2022.07/DeamNet-main/DeamNet-main/train.py"
Traceback (most recent call last):
  File "D:/Papers to read/2022.07/DeamNet-main/DeamNet-main/train.py", line 145, in <module>
    opt.patch_size, opt.data_augmentation)
  File "D:\Papers to read\2022.07\DeamNet-main\DeamNet-main\data.py", line 15, in get_training_set
    transform=transform())
  File "D:\Papers to read\2022.07\DeamNet-main\DeamNet-main\dataset.py", line 79, in __init__
    self.image_filenames = [join(image_dir, x) for x in listdir(image_dir) if is_image_file(x)]
FileNotFoundError: [WinError 3] 系统找不到指定的路径。: 'D:/Papers to read/2022.07/DeamNet-main/DeamNet-main/Dataset/test\\train\\DIV2K_train_HR'
Namespace(Ispretrained=True, Isreal=False, batchSize=8, data_augmentation=True, data_dir='D:/Papers to read/2022.07/DeamNet-main/DeamNet-main/Dataset/test', gpus=1, hr_train_dataset='DIV2K_train_HR', lr=0.0001, model_type='Deam', nEpochs=2000, noiseL=25, patch_size=128, pretrained='./Deam_models', pretrained_sr='noise25.pth', save_folder='./checkpoint/', seed=123, start_iter=1, statistics='./statistics/', testBatchSize=1, test_dataset='Set12', threads=4, upscale_factor=1, val_noiseL=25)
===> Loading datasets

Process finished with exit code 1

看来路径写的还不对呀，结合上面的错误，Dataset里要有‘train’和'set'两个文件，于是把路径改到上一级

parser.add_argument('--data_dir', type=str, default='D:/Papers to read/2022.07/DeamNet-main/DeamNet-main/Dataset', help='the dataset dir')

D:\ProgramData\Anaconda3\envs\python36\python.exe "D:/Papers to read/2022.07/DeamNet-main/DeamNet-main/train.py"
Traceback (most recent call last):
  File "D:/Papers to read/2022.07/DeamNet-main/DeamNet-main/train.py", line 148, in <module>
    test_set = get_eval_set(os.path.join(opt.data_dir+'test', opt.test_dataset), opt.upscale_factor)
  File "D:\Papers to read\2022.07\DeamNet-main\DeamNet-main\data.py", line 19, in get_eval_set
    transform=transform())
  File "D:\Papers to read\2022.07\DeamNet-main\DeamNet-main\dataset.py", line 116, in __init__
    self.image_filenames = [join(lr_dir, x) for x in listdir(lr_dir) if is_image_file(x)]
FileNotFoundError: [WinError 3] 系统找不到指定的路径。: 'D:/Papers to read/2022.07/DeamNet-main/DeamNet-main/Datasettest\\Set12'
Namespace(Ispretrained=True, Isreal=False, batchSize=8, data_augmentation=True, data_dir='D:/Papers to read/2022.07/DeamNet-main/DeamNet-main/Dataset', gpus=1, hr_train_dataset='DIV2K_train_HR', lr=0.0001, model_type='Deam', nEpochs=2000, noiseL=25, patch_size=128, pretrained='./Deam_models', pretrained_sr='noise25.pth', save_folder='./checkpoint/', seed=123, start_iter=1, statistics='./statistics/', testBatchSize=1, test_dataset='Set12', threads=4, upscale_factor=1, val_noiseL=25)
===> Loading datasets

Process finished with exit code 1

虽然回到原来的错误了，但是经过改动的这两下，我觉得应该是文件位置的问题，就是说Dataset里还要有‘Set12’这个文件，那就把这个文件移出来吧

Traceback (most recent call last):
  File "D:/Papers to read/2022.07/DeamNet-main/DeamNet-main/train.py", line 148, in <module>
    test_set = get_eval_set(os.path.join(opt.data_dir+'test', opt.test_dataset), opt.upscale_factor)
  File "D:\Papers to read\2022.07\DeamNet-main\DeamNet-main\data.py", line 19, in get_eval_set
    transform=transform())
  File "D:\Papers to read\2022.07\DeamNet-main\DeamNet-main\dataset.py", line 116, in __init__
    self.image_filenames = [join(lr_dir, x) for x in listdir(lr_dir) if is_image_file(x)]
FileNotFoundError: [WinError 3] 系统找不到指定的路径。: 'D:/Papers to read/2022.07/DeamNet-main/DeamNet-main/Datasettest\\Set12'

Process finished with exit code 1

 好吧，还是不对，仔细检查，原代码中‘train’和‘test’的文件位置什么的都是一一对照的，那么代码中不一样的地方就是调用数据时的代码有所区别，把opt.data_dir+'test'改成opt.data_dir, 'test'就可以运行了

test_set = get_eval_set(os.path.join(opt.data_dir, 'test', opt.test_dataset), opt.upscale_factor)

:\ProgramData\Anaconda3\envs\python36\python.exe "D:/Papers to read/2022.07/DeamNet-main/DeamNet-main/train.py"
Namespace(Ispretrained=True, Isreal=False, batchSize=8, data_augmentation=True, data_dir='D:/Papers to read/2022.07/DeamNet-main/DeamNet-main/Dataset', gpus=1, hr_train_dataset='DIV2K_train_HR', lr=0.0001, model_type='Deam', nEpochs=2000, noiseL=25, patch_size=128, pretrained='./Deam_models', pretrained_sr='noise25.pth', save_folder='./checkpoint/', seed=123, start_iter=1, statistics='./statistics/', testBatchSize=1, test_dataset='Set12', threads=4, upscale_factor=1, val_noiseL=25)
===> Loading datasets
===> Building model  Deam
---------- Networks architecture -------------
DataParallel(
  (module): Deam(
  

 开始运行了，开心，解决了一个小问题