hed
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A PyTorch reimplementation of Holistically-Nested Edge Detection
Thank you for sharing your implementation. I am wondering would be useful to use the HED network for the binary edge detection for the custom dataset? Here is an example...
Sorry to write here about DeepFashion2 I was seeing your comments on DeepFashion2 you have trained model. Can you guide how to train DeepFashion2 I tried it but it was...
Thanks so much for your implementation! It's been really helpful for understanding HED. Could you add a license for the code? That would make it more clear what you allow...
In the datasets.py file, the original code is like this: image = image - np.array((104.00698793, # Minus statistics. 116.66876762, 122.67891434)) but How can i get the new statistics number for...
Thanks for your code and the model I trained is quite good(ODS=0.788.OIS=0.806)。 I just have a question when i see the log during the training,the epoch average batch_loss maintains at...
Question
When we evaluate the result,we need to run the EdgeEvalDir.m,but what's the meaning of maxDist. I am confused about it and there isn't code.Can you explian it or give some...
Hello, thanks for sharing! I want to get the five side-outputs however Pytorch is different to caffe. Is there any suggestions? Thanks a lot! Looking forward to your reply!
Thanks for this progect! My compilation for Caffe or [modified HED](https://github.com/zeakey/hed) doesn't sussess. I noticed cafffemodel can be converted into pickle with some [tools](https://github.com/pierluigiferrari/caffe_weight_converter). But it still uses Caffe as...
Hi @xwjabc Thanks for your contribution, I have a question just in the line below: ``` else: # Zero initialization following official repository. # Reference: hed/docs/tutorial/layers.md m.weight.data.zero_() ``` I see...
Thanks for sharing your code and it works well. I have some doubts about the learning rate. Why learning rate for conv5 is 100x of base learning rate, and classification...