initial

.gitignore

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+.DS_Store

README.md

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+# Enhancing Image Super-Resolution with Dual Compression Transformer
+
+
+
+## Dependencies
+
+- Python 3.8
+- PyTorch 1.8.0
+- NVIDIA GPU + [CUDA](https://developer.nvidia.com/cuda-downloads)
+
+```bash
+pip install -r requirements.txt
+python setup.py develop
+```
+
+## Test
+
+- We provide DCT with scale factors: x2, x3, x4. 
+
+- Download testing (Set5, Set14, BSD100, Urban100, Manga109) datasets, place them in `datasets/`. 
+
+- Run the following scripts. 
+
+  **You can change the testing configuration in YML file, like 'test_DCT_light_x2.yml'.**
+
+  ```shell
+  # DCT, reproduces results in Table 3 of the main paper
+  python basicsr/test.py -opt options/Test/test_DCT_light_x2.yml
+  python basicsr/test.py -opt options/Test/test_DCT_light_x3.yml
+  python basicsr/test.py -opt options/Test/test_DCT_light_x4.yml
+  ```
+
+- The output is in `results`.
+
+## Acknowledgements
+
+This code is built on  [BasicSR](https://github.com/XPixelGroup/BasicSR).

VERSION

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+1.3.5

basicsr/__init__.py

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+from .archs import *
+from .data import *
+from .metrics import *
+from .models import *
+from .test import *
+from .utils import *