Comments (2)
Zdafeng
commented on August 16, 2024
We test the pretrained models of uformer in real world dataset by using the PSNR of basicsr, and the PSNR are 26.22dB and 26.58dB with/without reflection model. However, the PSNR of uformer is 26.98dB in table 2. So, could you please release the metric code that used in table 2?
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ykdai
commented on August 16, 2024
We have uploaded a evaluate.py and you can have a test. Besides, lower PSNR is caused by line 133 in the file basicsr\utils\flare_util.py, please use the default setting of the max diameter (1.5 rather than 0.5). We have fixed it in the code. Then, you will get 26.98dB as the final result.
If you found this solution helpful, it would mean a lot to us if you could leave a star on our GitHub repository : )
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Related Issues (20)
- Questions about dataset usage HOT 2
- Is there an error in your data_loader.py? HOT 1
- score HOT 2
- Could you share the code for aperture generation? HOT 2
- 配置对应环境运行缺失libcufft.so.11和libnvJitLink.so.12 HOT 1
- Is the real world result of the paper (Uformer PSNR = 26.98) tested on the 100 images provided by the project? Which model can be used to get such a result? HOT 5
- Validation set problem HOT 2
- The final test results. HOT 2
- Why is the PSNR value of the training log different from the PSNR value tested with the final saved model with test.py ? HOT 2
- Could you share the code for light source extraction? Thanks. HOT 1
- Training using U_Net HOT 3
- Validation dataset problem HOT 1
- Can you please provide lens flare segmentation network training code with its checkpoint HOT 2
- About reflective dataset HOT 4
- ModelNotFoundError HOT 6
- Can I get your help on code execution? HOT 3
- Evaluation dataset for the MIPI 2023 Night Speckle Removal Challenge HOT 19
- Training and inference issue of Uformer HOT 4
- Bad performance on real-shot images in BDD100k HOT 1
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