(r_esrgan) PS D:\HSENet> pip install utility
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
......
Installing collected packages: utility
Successfully installed utility-1.0

我使用pip install utility 安装后，依然报错
当我直接在命令行打开python 直接导入utility，仍然提示找不到模块

(r_esrgan) PS D:\HSENet> python
Python 3.8.11 (default, Aug  6 2021, 09:57:55) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import utility
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'utility'

hi,

I noticed in your paper, the dataset is split into two balanced halves as training and test sets with 1050 samples each,
however the datasets I downloaded from the provided link has 1050 test samples, 946 train samples and 105 val samples.

I am confused and wonder which setting did you exactly use in your experiment

Very much kindly looking forward to your reply!

其它模型使用的epoch也是500吗

您好，这是我尝试训练您的代码出现的问题，特请问应该如何修改数据路径，谢谢您！

这是数据摆放的路径，请问如何修改？

请问为什么会出现这种情况啊 x2的时候出现的 x3x4都没出现这种问题

Is there something wrong with the configuration?

我用这个命令python demo_deploy.py --model=HSENET --scale=2 --test_block ，使用预训练模型进行2倍超分，为什么出来的图像上有横竖的条纹呢，4倍的超分就不会出现这种现象

Hello, thank you very much for your sharing. We ran into some problems when reproducing your code, may I ask you?
We tried to use the pre-training model to test some of our data, but no matter we chose x4 or x2, it would be reported out of memory, and there was no load on our gpu. Besides, we observed that your pre-training model was not large.

as your side in the "train" part:# x4
python demo_train.py --model=HSENET --dataset=UCMerced --scale=4 --patch_size=192 --ext=img --save=HSENETx4_UCMerced

x3

python demo_train.py --model=HSENET --dataset=UCMerced --scale=3 --patch_size=144 --ext=img --save=HSENETx3_UCMerced

x2

python demo_train.py --model=HSENET --dataset=UCMerced --scale=2 --patch_size=96 --ext=img --save=HSENETx2_UCMerced

I can not find the model, dataset and scale setting parameters in demo_train.py file

请问你训练这个数据集是把45个类别的数据放在一起训练一个模型吗，数据太多了，完全训练不了啊