CoachingJane

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my cuda version is 10.1, and i change the env to pytorch1.4, python 3.6.13, it also turns the error

well I know why this happen, actuall I use the pretrain model 5stage-vgg.caffemodel that I download from https://github.com/s9xie/hed I got the model wrong ,now its ok,sorry for that mistake to...

![image](https://user-images.githubusercontent.com/44397199/115823149-6126f900-a438-11eb-829e-ec2ad1d739b7.png) i use the vgg pretrained model to train voc obj-counter dataset but ![image](https://user-images.githubusercontent.com/44397199/115823202-7c920400-a438-11eb-92a8-492d8a447fbe.png) its all white or black... do you know what problem will make it happen?

I let the init lr to 1e-5(from 1e-4), but it looks like a little strange: ![image](https://user-images.githubusercontent.com/44397199/115828051-be727880-a43f-11eb-85d9-70213b0d2c9e.png) ![image](https://user-images.githubusercontent.com/44397199/115828066-c5998680-a43f-11eb-8f00-cdaef6a35cc6.png) ![image](https://user-images.githubusercontent.com/44397199/115828119-d6e29300-a43f-11eb-87b4-f6161c076e7f.png) or maybe i should train for a while?

well, I think I found the reason, the lr ,I set the init lr to 1e-6(from 1e-4),then it worked. thank you!

Hello, do you know the function of this parameter? ![image](https://user-images.githubusercontent.com/44397199/117966531-97300c80-b356-11eb-90d8-f0ef464c50a2.png) in this paper Weakly Supervised Object Boundaries,the author set it to 0.01,and this operation seems can improve the final score...

there is a question that confused me a lot, that is when the code load the edge-GT, you do this op: edge[edge < 127.5] = 0.0 edge[edge >= 127.5] =...

我想问一下,我自己在利用voc数据集的分割来制作边缘数据集(代码逻辑是根据周围像素的变化),得到的边缘只能是一条细线,而我看您这里面的边缘是有一些宽度的,请问您是如何制作在您放在百度云中的数据集的呢,谢谢。