mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
31 lines
1.3 KiB
Markdown
31 lines
1.3 KiB
Markdown
# 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.
|
|
|
|
## List of MMEditing models supported by MMDeploy
|
|
|
|
| Model | Model Config File (Example) | ONNX Runtime | TensorRT | NCNN | PPL |
|
|
| :----: | :----------------------------------------------------------: | :----------: | :------: | :---: | :---: |
|
|
| SRCNN | configs/restorers/srcnn/srcnn_x4k915_g1_1000k_div2k.py | Y | Y | N | Y |
|
|
| ESRGAN | configs/restorers/esrgan/esrgan_x4c64b23g32_g1_400k_div2k.py | Y | Y | N | Y |
|
|
|
|
## MMEditing deployment task type
|
|
|
|
| codebase | task |
|
|
| :------: | :--------------: |
|
|
| mmedit | super-resolution |
|
|
|
|
## Reminder
|
|
|
|
None
|
|
|
|
## FAQs
|
|
|
|
1. Why the precision of SRCNN running in TensorRT is lower than in PyTorch?
|
|
|
|
SRCNN uses bicubic to upsample images. TensorRT doesn't support bicubic operation. Therefore, we replace this operation with bilinear, which may lower the precision.
|