177-variable-rate-deep-image-compression-through-spatially-adaptive-feature-transform
Science Score: 13.0%
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Low similarity (2.2%) to scientific vocabulary
Last synced: 10 months ago
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Basic Info
- Host: GitHub
- Owner: SZU-AdvTech-2024
- Default Branch: main
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Created over 1 year ago
· Last pushed over 1 year ago
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
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2024
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