Comments (1)
This repository only provides the inference part, not the training part. If you would like to train the model yourself, please see the original implementation (which is in Caffe): https://github.com/s9xie/hed
from pytorch-hed.
Related Issues (20)
- I am trying to run the command "python run.py --model bsds500 --in ./images/sample.png --out ./out.png" and I am getting the error: HOT 1
- Using HED as a term of feature-based loss HOT 2
- Can you share the pretrained model? HOT 1
- How to run without CUDA? HOT 2
- AttributeError: 'Tensor' object has no attribute 'clip' HOT 1
- RGB Normalization problem HOT 2
- Multiple images as input HOT 1
- RuntimeError: shape '[1, 3, 320, 480]' is invalid for input of size 614400 HOT 2
- F-Score is terrible for individual images HOT 3
- model
- bsds500 weights unavailable HOT 1
- May have found a method to get a better ODS score HOT 1
- Where is the model file HOT 4
- PyTorch HED HOT 5
- BN layer HOT 1
- problem of the pretrained model HOT 2
- any further step suggested to obtain slim edges HOT 4
- How can I adjust the level of detail of the output HOT 1
- HED: side-output HOT 1
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from pytorch-hed.