From 31446de9055ca6f803fb1a75dc3d65f12e6dd446 Mon Sep 17 00:00:00 2001
From: Yifan Zhou <singlezombie@163.com>
Date: Thu, 28 Oct 2021 14:33:40 +0800
Subject: [PATCH] [Doc]: MMEdit doc (#153)

* Add doc

* Remove spaces

* sovle comments

* Resolve comments
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 docs/codebases/mmedit.md       | 31 ++++++++++++++++++++++++++++++-
 docs_zh_CN/codebases/mmedit.md | 31 ++++++++++++++++++++++++++++++-
 2 files changed, 60 insertions(+), 2 deletions(-)

diff --git a/docs/codebases/mmedit.md b/docs/codebases/mmedit.md
index 6ef59622c..f946ae135 100644
--- a/docs/codebases/mmedit.md
+++ b/docs/codebases/mmedit.md
@@ -1 +1,30 @@
-## MMEditing Support
+# 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.
diff --git a/docs_zh_CN/codebases/mmedit.md b/docs_zh_CN/codebases/mmedit.md
index 40f9cdb14..c2302ae6d 100644
--- a/docs_zh_CN/codebases/mmedit.md
+++ b/docs_zh_CN/codebases/mmedit.md
@@ -1 +1,30 @@
-## MMEditing 支持
+# MMEditing 支持
+
+[MMEditing](https://github.com/open-mmlab/mmediting) 是一个基于 PyTorch 的开源图像视频编辑工具箱。它是 [OpenMMLab](https://openmmlab.com/) 项目的一部分。
+
+## MMEditing 安装教程
+
+请参考[官方安装指导](https://mmediting.readthedocs.io/en/latest/install.html#installation)进代码库的安装。
+
+## MMDeploy 支持的 MMEditing 模型列表
+
+|  模型  |                     模型配置文件（示例）                     | 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 的部署任务类型
+
+| codebase |       task       |
+| :------: | :--------------: |
+|  mmedit  | super-resolution |
+
+## 注意事项
+
+无
+
+## 常见问题解答
+
+1. 为什么 SRCNN 模型在 TensorRT 上运行的精度低于在 PyTorch 上运行的精度?
+
+    SRCNN 使用双三次插值（bicubic）来进行图像上采样。 TensorRT 不支持双三次差值操作。我们用双线性插值（bilinear）替换了该操作，这种替换会降低精度。