While trying to run main.py in testing_practical/src using Google Colab, I keep getting this error:

self.ckp.log[-1, idx_scale] = eval_acc / len(self.loader_test)
ZeroDivisionError: division by zero

I have already tried keeping the images in the rain folder inside the data folder in the main directory.

testing_practical/src/trainer.py, line 125, in train
print(loss1_all/cnt)

cnt always equals to 0,

for batch,() in enumerate(self.loader_train):
this part doesn't execute leading to the ZeroDivisionError,
but I don't know why

Hi, @flyywh , I just find the code in your website (https://xueyangfu.github.io/projects/cvpr2017.html) without training code. Could you tell me where can I find the training code?

您好，我猜您应该是**人，我就直接用中文留言了

关于数据集有两个问题：
（1）我看您cvpr2017论文Deep Joint Rain Detection and Removal from a Single Image中测试数据集采用RAIN100L,RAIN100H和RAIN12，rain12我看有12对图片，而从http://www.icst.pku.edu.cn/struct/Projects/joint_rain_removal.html 下载的测试集rain_data_test_Light和rain_data_test_heavy各自包含200对图片，请问您论文中的Rain100L/H是选的哪一部分图啊
（2）训练集，您论文中说选自BSD300，但是从上述网站下载的有18002对图片，我想请问您是直接用这18002图直接训练的么

您好：
请问这个code是http://www.icst.pku.edu.cn/struct/Projects/joint_rain_removal.html 这个的pytorch版本吗 谢谢！
是否可以给出预训练的模型 谢谢！

hello Why do I get the following error when I want to test