Comments (2)
Hi,
Could you have a look at this issue #4 (comment) ? Can you reproduce their results SAD: 37.8 by the composition code at https://github.com/huochaitiantang/pytorch-deep-image-matting/blob/master/tools/composite.py ?
If you can reproduce their results, I think there may be some bugs in our composition code that I didn't realize in testing. If you cannot reproduce their results, there may be something wrong with your testing data.
There is no much difference between python and MATLAB SAD evaluation. The main difference is in Conn evaluation code.
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Hi,
Could you have a look at this issue #4 (comment) ? Can you reproduce their results SAD: 37.8 by the composition code at https://github.com/huochaitiantang/pytorch-deep-image-matting/blob/master/tools/composite.py ?
If you can reproduce their results, I think there may be some bugs in our composition code that I didn't realize in testing. If you cannot reproduce their results, there may be something wrong with your testing data.
There is no much difference between python and MATLAB SAD evaluation. The main difference is in Conn evaluation code.
Sorry, it turns out your code can exactly produce your SAD result. It was something wrong with my data. Thank you!
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Related Issues (20)
- About sample unknown point in the RandomCrop function HOT 2
- compose two fg maybe has one error ? HOT 1
- normalize trimap HOT 1
- StopIteration: No samples in loader. example: `iterator = iter(Prefetcher(loader)); data = next(iterator)` HOT 1
- training with new dataset HOT 11
- How to test high resolution imgs? HOT 4
- Why is resuming training is uncomment? HOT 2
- Exact training set HOT 2
- Is there a composition error? HOT 1
- FLOPs of the network
- recommended image size as input to network during training
- parameters and overfitting
- another encoder
- merged image?
- about the config HOT 1
- about training data
- AIM dataset
- 你好,我想问一下为什么trimap_channel是3呢?我在adobe数据集里发现trimap是单通道图
- Improving the results on real world images
- rotation augmentation
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