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A PyTorch reimplementation of Holistically-Nested Edge Detection
Hi I realized that you load pre-trained parameters of caffe. I was wondering if using the pre-trained parameters of caffe is necessary because I want to try training with other...
Hi, Nice repo. What is the reason for keeping padding=35 for the first convolutional layer? I am not sure if the HED architecture advises that.
File "hed.py", line 302, in main() File "hed.py", line 156, in main load_vgg16_caffe(net, args.vgg16_caffe) File "D:\Application\Object_Detection\hed-master\utils.py", line 87, in load_vgg16_caffe load_pretrained_caffe(net, path, only_vgg=True) File "D:\Application\Object_Detection\hed-master\utils.py", line 94, in load_pretrained_caffe pretrained_params...
Thank you for your contribution about the HED in pytorch. About the aligned crop, I'd like to ask you some questions, why did not you use the offset which got...
Thank you for this elegent project ! I am trying to train a HED model using my own dataset. All the hyper-parameters are followed by this project and the results...
I find that the results of NMS are the concatenation of three images along the column, is that correct?
I reimplement the python based eval code. **Only Python, Not Matlab**. https://github.com/Walstruzz/edge_eval_python
I have got the correct nms result. But it seems my ground-truth loading part hsas bug,but I don't know whats' the problem.my ground-truth edge is 255,and non-edge is 0,ist hat...
Hello. I have tested this code and have got good results. Thank you for sharing. However, as I apply this code to my TEM images and get edge lines, the...
Hello, I'm trying to use your evaluation code on MATLAB (r2019b) on mac os x but I get this error: `Error using edgesEvalImg (line 70) Invalid MEX-file '/Users/antoninsumner/Documents/GitHub/EdgeDetection_ModelsComparison/eval/edges/private2/correspondPixels.mexmaci64': dlopen(/Users/antoninsumner/Documents/GitHub/EdgeDetection_ModelsComparison/eval/edges/private2/correspondPixels.mexmaci64, 6):...