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@ -14,7 +14,7 @@ MMSR is an open source image and video super-resolution toolbox based on PyTorch
## Dependencies and Installation ## Dependencies and Installation
- Python 3 (Recommend to use [Anaconda](https://www.anaconda.com/download/#linux)) - Python 3 (Recommend to use [Anaconda](https://www.anaconda.com/download/#linux))
- [PyTorch >= 1.0](https://pytorch.org/) - [PyTorch >= 1.1](https://pytorch.org/)
- NVIDIA GPU + [CUDA](https://developer.nvidia.com/cuda-downloads) - NVIDIA GPU + [CUDA](https://developer.nvidia.com/cuda-downloads)
- [Deformable Convolution](https://arxiv.org/abs/1703.06211). We use [mmdetection](https://github.com/open-mmlab/mmdetection)'s dcn implementation. Please first compile it. - [Deformable Convolution](https://arxiv.org/abs/1703.06211). We use [mmdetection](https://github.com/open-mmlab/mmdetection)'s dcn implementation. Please first compile it.
``` ```
@ -24,7 +24,7 @@ MMSR is an open source image and video super-resolution toolbox based on PyTorch
- Python packages: `pip install numpy opencv-python lmdb pyyaml` - Python packages: `pip install numpy opencv-python lmdb pyyaml`
- TensorBoard: - TensorBoard:
- PyTorch >= 1.1: `pip install tb-nightly future` - PyTorch >= 1.1: `pip install tb-nightly future`
- PyTorch == 1.0: `pip install tensorboardX`
## Dataset Preparation ## Dataset Preparation
We use datasets in LDMB format for faster IO speed. Please refer to [DATASETS.md](datasets/DATASETS.md) for more details. We use datasets in LDMB format for faster IO speed. Please refer to [DATASETS.md](datasets/DATASETS.md) for more details.