Comments (10)
Sorry about that. I just added it.
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Thanks. But I have another problem when using distributed training.
And I have checked my data path, it is
├─ REDS
├── train_sharp_sub
├───-000_s001
├───-000_s002
And when I use the single GPU training strategy, there is another problem like,
It seems due to the dismatched batchsize dismension question between input and label, but I don't know why. The parameters in realbasicvsr_wogan_c64b20_2x30x8_lr1e-4_300k_reds.py keep same.
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If the training dataset path is correct, it seems that the validation set path is incorrect. Have you downloaded the UDM10 dataset for validation?
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Yes, you are right, I got a mistake with the validation set path. However, it turned to the dismatched batchsize dismension question when using both distributed training and single GPU training, have you ever meet this problem? Thanks.
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I did not encounter this error before.
I have no access to the GPU server at the moment. I will run again when I get back the access later today. For now, you can try printing out the input and output dimensions to check if there are any problems.
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@sunlustar Where was the UDM10 dataset downloaded? train_sharp_sub dataset is which of REDS? thanks. I don't find.
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@ckkelvinchan @sunlustar I also meet the error "ValueError: You may use too small dataset and our distributed sampler cannot pad your dataset correctly. We highly recommend you to use fewer GPUs to finish your work". How should I fix it?
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And I have checked my data path, it is
├─ REDS
├── train_sharp_sub
├───-000_s001
├───-000_s002
├─ UDM10
├───-BIx4
├───---calendar
├───---city
├───---foliage
├───---walk
├───-GT
├───---calendar
├───---city
├───---foliage
├───---walk
├─ VideoLQ
am I missing something? @ckkelvinchan @sunlustar
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And I have checked my data path, it is ├─ REDS ├── train_sharp_sub ├───-000_s001 ├───-000_s002 ├─ UDM10 ├───-BIx4 ├───---calendar ├───---city ├───---foliage ├───---walk ├───-GT ├───---calendar ├───---city ├───---foliage ├───---walk ├─ VideoLQ
am I missing something? @ckkelvinchan @sunlustar
It seems that the folder UDM10 is not downloaded correctly. You are using Vid4
.
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Related Issues (20)
- about training problem HOT 1
- output image have some bad color area
- 模型太大了,没法落地,V100都得跑60多毫秒,端测没法用哦 HOT 1
- Always get error in the huggingface space demo
- Welcome update to OpenMMLab 2.0
- Visualizing the generated LQ video in training process
- about VideoLQ dataset HOT 1
- How to train x2 model?
- about x2 effect
- FileNotFoundError HOT 1
- Does the pretrained model support x2 super-resolution?
- Does it support raising to a specific resolution? For example, from 1280*720P to 1920*1080P HOT 1
- What is GT when training RealBasicVSR HOT 1
- Can I put a separate copy of the code in git?
- GPU num for training
- Inference with a low quality low resolution video, got a bad quality output.
- contrast RealBasicVSR and BasicVSR_PlusPlus
- upscaler a video, but the result is bad HOT 2
- 背景会闪烁
- May we use the VideoLQ dataset for a demonstration at a trade fair?
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