# MMEditing Support

[MMEditing](https://github.com/open-mmlab/mmediting) is an open-source image and video editing toolbox based on PyTorch. It is a part of the [OpenMMLab](https://openmmlab.com/) project.

## MMEditing installation tutorial

Please refer to [official installation guide](https://mmediting.readthedocs.io/en/latest/install.html#installation) to install the codebase.

## MMEditing models support

| Model          | Task             | ONNX Runtime | TensorRT | ncnn | PPLNN | OpenVINO |                                          Model config                                          |
| :------------- | :--------------- | :----------: | :------: | :--: | :---: | :------: | :--------------------------------------------------------------------------------------------: |
| SRCNN          | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     |     [config](https://github.com/open-mmlab/mmediting/tree/master/configs/restorers/srcnn)      |
| ESRGAN         | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     |     [config](https://github.com/open-mmlab/mmediting/tree/master/configs/restorers/esrgan)     |
| ESRGAN-PSNR    | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     |     [config](https://github.com/open-mmlab/mmediting/tree/master/configs/restorers/esrgan)     |
| SRGAN          | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     | [config](https://github.com/open-mmlab/mmediting/tree/master/configs/restorers/srresnet_srgan) |
| SRResNet       | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     | [config](https://github.com/open-mmlab/mmediting/tree/master/configs/restorers/srresnet_srgan) |
| Real-ESRGAN    | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     |  [config](https://github.com/open-mmlab/mmediting/tree/master/configs/restorers/real_esrgan)   |
| EDSR           | super-resolution |      Y       |    Y     |  Y   |   N   |    Y     |      [config](https://github.com/open-mmlab/mmediting/tree/master/configs/restorers/edsr)      |
| RDN            | super-resolution |      Y       |    Y     |  Y   |   Y   |    Y     |      [config](https://github.com/open-mmlab/mmediting/tree/master/configs/restorers/rdn)       |
| Global&Local\* | inpainting       |      Y       |    Y     |  N   |   N   |    N     | [config](https://github.com/open-mmlab/mmediting/tree/master/configs/inpainting/global_local)  |
| DeepFillv1\*   | inpainting       |      Y       |    Y     |  N   |   N   |    N     |  [config](https://github.com/open-mmlab/mmediting/tree/master/configs/inpainting/deepfillv1)   |
| PConv\*        | inpainting       |      Y       |    Y     |  N   |   N   |    N     | [config](https://github.com/open-mmlab/mmediting/tree/master/configs/inpainting/partial_conv)  |
| DeepFillv2\*   | inpainting       |      Y       |    Y     |  N   |   N   |    N     |  [config](https://github.com/open-mmlab/mmediting/tree/master/configs/inpainting/deepfillv2)   |
| AOT-GAN\*      | inpainting       |      Y       |    Y     |  N   |   N   |    N     |    [config](https://github.com/open-mmlab/mmediting/tree/master/configs/inpainting/AOT-GAN)    |

1. We skipped quantitative evaluation for image inpainting due to the high computational cost required for testing.