Cross-Scale-Non-Local-Attention
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Location for models and datasets
Where do i have to put the models and the dataset folders?
Where do i have to put the models and the dataset folders?
Hi, you can put the datasets to anywhere you like and then specify the data_dir in the options.py to that directory, e.g., create a folder “data” and then put DIV2K and benchmark datasets into that folder and set the data_dir argument as the path to “data”. Similarly, you can also put the models to anywhere you like and set the pre_trained as the path to the models.
Hi Thanks for your work
New to this area, And wonder ask why I have copied 800 images to ../../DIV2K/bin/DIV2K_train/ ,but the training codes returns got no samples as follows, can you tell me what should I do , Thanks
Traceback (most recent call last): File "main.py", line 39, in <module> main() File "main.py", line 27, in main loader = data.Data(args) File "/mnt/data0/home/***/SR/csnln/Cross-Scale-Non-Local-Attention-master/src/data/__init__.py", line 35, in __init__ num_workers=args.n_threads, File "/mnt/data0/home/***/miniconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 224, in __init__ sampler = RandomSampler(dataset, generator=generator) File "/mnt/data0/home/***/miniconda3/lib/python3.7/site-packages/torch/utils/data/sampler.py", line 96, in __init__ "value, but got num_samples={}".format(self.num_samples)) ValueError: num_samples should be a positive integer value, but got num_samples=0
And by the way, Can you explain how you generate your LR dataset, using matlab or np.imresize?
Thanks
Hi Thanks for your work
New to this area, And wonder ask why I have copied 800 images to ../../DIV2K/bin/DIV2K_train/ ,but the training codes returns got no samples as follows, can you tell me what should I do , Thanks
Traceback (most recent call last): File "main.py", line 39, in <module> main() File "main.py", line 27, in main loader = data.Data(args) File "/mnt/data0/home/***/SR/csnln/Cross-Scale-Non-Local-Attention-master/src/data/__init__.py", line 35, in __init__ num_workers=args.n_threads, File "/mnt/data0/home/***/miniconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 224, in __init__ sampler = RandomSampler(dataset, generator=generator) File "/mnt/data0/home/***/miniconda3/lib/python3.7/site-packages/torch/utils/data/sampler.py", line 96, in __init__ "value, but got num_samples={}".format(self.num_samples)) ValueError: num_samples should be a positive integer value, but got num_samples=0
And by the way, Can you explain how you generate your LR dataset, using matlab or np.imresize?
Thanks
Solved by move the original file out of directory ../../bin/
According to the following codes
And the program will automatically generate binary file based on the jpeg or png file .
But Encounter the Error:
FileNotFoundError: No such file: '/mnt/data0/home/***/SR/csnln/DIV2K/DIV2K_train_LR_bicubic/X2/0001x2.png'
For I've not generate the LR imgs.
Can you tell How you prepare the LR imgs?
嗨谢谢你的工作 这个领域的新手,想知道为什么我将800张图像复制到../../DIV2K/bin/DIV2K_train/,但是训练代码返回没有样本如下,你能告诉我我该怎么办,谢谢
Traceback (most recent call last): File "main.py", line 39, in <module> main() File "main.py", line 27, in main loader = data.Data(args) File "/mnt/data0/home/***/SR/csnln/Cross-Scale-Non-Local-Attention-master/src/data/__init__.py", line 35, in __init__ num_workers=args.n_threads, File "/mnt/data0/home/***/miniconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 224, in __init__ sampler = RandomSampler(dataset, generator=generator) File "/mnt/data0/home/***/miniconda3/lib/python3.7/site-packages/torch/utils/data/sampler.py", line 96, in __init__ "value, but got num_samples={}".format(self.num_samples)) ValueError: num_samples should be a positive integer value, but got num_samples=0
顺便说一下,你能解释一下如何使用 matlab 或 np.imresize生成 LR 数据集吗? 谢谢将原文件移出目录 ../../bin/ 解决 根据以下代码
并且程序会根据jpeg或png文件自动生成二进制文件。
但是遇到错误:
FileNotFoundError: No such file: '/mnt/data0/home/***/SR/csnln/DIV2K/DIV2K_train_LR_bicubic/X2/0001x2.png'
因为我没有生成 LR imgs。 你能告诉你如何准备LR imgs吗?
me too! you can down the X2 LR