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25 lines
1.3 KiB
Markdown
25 lines
1.3 KiB
Markdown
# MMEditing Support
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[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.
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## MMEditing installation tutorial
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Please refer to [official installation guide](https://mmediting.readthedocs.io/en/latest/install.html#installation) to install the codebase.
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## List of MMEditing models supported by MMDeploy
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| Model | Task | ONNX Runtime | TensorRT | NCNN | PPL | OpenVINO | Model Config File (Example) |
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|:-------|:-----------------|:------------:|:--------:|:----:|:---:|:--------:|:-------------------------------------------------------------------------|
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| SRCNN | super-resolution | Y | Y | N | Y | N | $MMEDIT_DIR/configs/restorers/srcnn/srcnn_x4k915_g1_1000k_div2k.py |
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| ESRGAN | super-resolution | Y | Y | N | Y | N | $MMEDIT_DIR/configs/restorers/esrgan/esrgan_x4c64b23g32_g1_400k_div2k.py |
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## Reminder
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None
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## FAQs
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1. Why the precision of SRCNN running in TensorRT is lower than in PyTorch?
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SRCNN uses bicubic to upsample images. TensorRT doesn't support bicubic operation. Therefore, we replace this operation with bilinear, which may lower the precision.
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