Comments (1)
404NautFond
commented on August 10, 2024
I ran into the same problem. I followed the data prepare instruction of FFHQ and found that the dataloader can get no sr_img_bytes so that the process enter infinite loop at 144 line in LRHR_dataset.py. The solution might be running the prepare_data.py without -l parameter to avoid lmdb mode and get png files instead. Be reminded to comment break command at 145 line in prepare_data.py or it will just process one instance.
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Related Issues (20)
- Regarding the resolution of the test image HOT 1
- Mistake in readme HOT 1
- distributed HOT 1
- About training on multi-gpus HOT 1
- How to decide the performance?
- 关于预训练模型
- some error with `fused_act_ext` HOT 1
- License Query
- a bug of distributed HOT 1
- cuda version
- About prepare_data.py
- pre-trained checkpoints
- Image quality on different scales
- psnr calculated in rgb or ycbcr?
- Results on DIV2K validation set
- Confused of 'opt['path']['resume_state']:' in line 64 of idm_main.py
- It seems that the part of SR on general images for DIV2K dataset has not been realized ?? HOT 2
- About arbitrary size image upsampling
- Could you release the train.py and test.py? HOT 1
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