| ## Environment Preparation | |
| For video super resolution, please prepare your own python envirment from [RGT](https://github.com/zhengchen1999/RGT) and down the [ckpt](https://drive.google.com/drive/folders/1zxrr31Kp2D_N9a-OUAPaJEn_yTaSXTfZ) into the folder like | |
| ```bash | |
| ./experiments/pretrained_models/RGT_x2.pth | |
| ``` | |
| ## Video Super Resolution | |
| The inferencing instruction is in [run.py](run.py). | |
| ```bash | |
| python run.py --SR x4 --root_path /path_to_root --input_dir /path_to_input_dir --output_dir /path_to_video_output | |
| ``` | |
| You can configure some more detailed parameters in [run.py](run.py) such as . | |
| ```bash | |
| --mul_numwork 16 --use_chop False | |
| ``` | |
| We recommend using `` --use_chop = False `` when memory allows. | |
| Note that in our tests. | |
| A single frame of 256x256 requires about 3G RAM-Usage, and a single 4090 card can process about one frame per second. | |
| A single frame of 512x512 takes about 19G RAM-Usage, and a single 4090 takes about 5 seconds to process a frame. | |