67 lines
2.3 KiB
Markdown
67 lines
2.3 KiB
Markdown
# reproduce the SIDD dataset results
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### 1. Data Preparation
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##### Download the train set and place it in ```./datasets/SIDD/Data```:
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* [google drive](https://drive.google.com/file/d/1UHjWZzLPGweA9ZczmV8lFSRcIxqiOVJw/view?usp=sharing) or [百度网盘](https://pan.baidu.com/s/1EnBVjrfFBiXIRPBgjFrifg?pwd=sl6h),
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* ```python scripts/data_preparation/sidd.py``` to crop the train image pairs to 512x512 patches and make the data into lmdb format.
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##### Download the evaluation data (in lmdb format) and place it in ```./datasets/SIDD/val/```:
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* [google drive](https://drive.google.com/file/d/1gZx_K2vmiHalRNOb1aj93KuUQ2guOlLp/view?usp=sharing) or [百度网盘](https://pan.baidu.com/s/1I9N5fDa4SNP0nuHEy6k-rw?pwd=59d7),
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* it should be like ```./datasets/SIDD/val/input_crops.lmdb``` and ```./datasets/SIDD/val/gt_crops.lmdb```
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### 2. Training
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* NAFNet-SIDD-width32:
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```
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python -m torch.distributed.launch --nproc_per_node=8 --master_port=4321 basicsr/train.py -opt options/train/SIDD/NAFNet-width32.yml --launcher pytorch
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```
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* NAFNet-SIDD-width64:
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```
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python -m torch.distributed.launch --nproc_per_node=8 --master_port=4321 basicsr/train.py -opt options/train/SIDD/NAFNet-width64.yml --launcher pytorch
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```
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* 8 gpus by default. Set ```--nproc_per_node``` to # of gpus for distributed validation.
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### 3. Evaluation
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##### Download the pretrain model in ```./experiments/pretrained_models/```
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* **NAFNet-SIDD-width32**: [google drive](https://drive.google.com/file/d/1lsByk21Xw-6aW7epCwOQxvm6HYCQZPHZ/view?usp=sharing) or [百度网盘](https://pan.baidu.com/s/1Xses38SWl-7wuyuhaGNhaw?pwd=um97)
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* **NAFNet-SIDD-width64**: [google drive](https://drive.google.com/file/d/14Fht1QQJ2gMlk4N1ERCRuElg8JfjrWWR/view?usp=sharing) or [百度网盘](https://pan.baidu.com/s/198kYyVSrY_xZF0jGv9U0sQ?pwd=dton)
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##### Testing on SIDD dataset
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* NAFNet-SIDD-width32:
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```
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python -m torch.distributed.launch --nproc_per_node=1 --master_port=4321 basicsr/test.py -opt ./options/test/SIDD/NAFNet-width32.yml --launcher pytorch
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```
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* NAFNet-SIDD-width64:
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```
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python -m torch.distributed.launch --nproc_per_node=1 --master_port=4321 basicsr/test.py -opt ./options/test/SIDD/NAFNet-width64.yml --launcher pytorch
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```
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* Test by a single gpu by default. Set ```--nproc_per_node``` to # of gpus for distributed validation.
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