177-variable-rate-deep-image-compression-through-spatially-adaptive-feature-transform

https://github.com/szu-advtech-2024/177-variable-rate-deep-image-compression-through-spatially-adaptive-feature-transform

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Metadata Files
Citation

https://github.com/SZU-AdvTech-2024/177-Variable-Rate-Deep-Image-Compression-through-Spatially-Adaptive-Feature-Transform/blob/main/

##
 ubuntu 16.04g++ 8.4.0cuda 10.1python 3.8.8pytorch 1.7.1  C++ 17 

1. g++>=7
    - `$ g++ --version`

2. pythonPython 3.8
    
3. 
    - `$ pip install torch==1.7.1+cu101 torchvision==0.8.2+cu101 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html`
    - `$ pip install -r requirements.txt`
    -  [CompressAI](https://github.com/InterDigitalInc/CompressAI)
        -  [CompressAI 1.0.9](https://github.com/micmic123/CompressAI) 

## Dataset
- : [COCO dataset](https://cocodataset.org/#download)
- : [Kodak dataset](http://r0k.us/graphics/kodak/)

1. 
    - 2014 [83K/13GB]
    - 2014 Train/Val  [241MB]
        - instances_train2014.json
    - 2017 [118K/18GB]
    - 2017 Train/Val  [241MB]
        - instances_train2017.json

2. 
3. 
```
 your_dataset_root
     coco
        | annotations
             instances_train2014.json
             instances_train2017.json
         train2014
         train2017
     kodak
             1.png
             ...
```
4.`scripts` 
    - `$ ./prepare.sh your_dataset_root/coco your_dataset_root/kodak`
    - `trainset_coco.csv`  `kodak.csv`  `data` 

Owner

  • Name: SZU-AdvTech-2024
  • Login: SZU-AdvTech-2024
  • Kind: organization

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