CoachingJane
CoachingJane
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...
 i use the vgg pretrained model to train voc obj-counter dataset but  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:    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?  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。