[Doc] improve demo document (open-mmlab#1905)

* [Doc] improve demo document

* fix ut

Author: Z-Fran

configs/deepfillv1/README.md

@@ -20,18 +20,18 @@ Recent deep learning based approaches have shown promising results for the chall
 
 ## Results and models
 
-**Places365-Challenge**
-
-|                       Model                       |  Mask Type  | Resolution | Train Iters |    Dataset    | l1 error |  PSNR  | SSIM  | Training Resources |                               Download                                |
-| :-----------------------------------------------: | :---------: | :--------: | :---------: | :-----------: | :------: | :----: | :---: | :----------------: | :-------------------------------------------------------------------: |
-| [DeepFillv1](./deepfillv1_8xb2_places-256x256.py) | square bbox |  256x256   |    3500k    | Places365-val |  11.019  | 23.429 | 0.862 |         8          | [model](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_8x2_places_20200619-c00a0e21.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_8x2_places_20200619-c00a0e21.log.json) |
-
 **CelebA-HQ**
 
 |                       Model                       |  Mask Type  | Resolution | Train Iters |  Dataset   | l1 error |  PSNR  | SSIM  | Training Resources |                                 Download                                 |
 | :-----------------------------------------------: | :---------: | :--------: | :---------: | :--------: | :------: | :----: | :---: | :----------------: | :----------------------------------------------------------------------: |
 | [DeepFillv1](./deepfillv1_4xb4_celeba-256x256.py) | square bbox |  256x256   |    1500k    | CelebA-val |  6.677   | 26.878 | 0.911 |         4          | [model](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_4x4_celeba_20200619-dd51a855.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_4x4_celeba_20200619-dd51a855.log.json) |
 
+**Places365-Challenge**
+
+|                       Model                       |  Mask Type  | Resolution | Train Iters |    Dataset    | l1 error |  PSNR  | SSIM  | Training Resources |                               Download                                |
+| :-----------------------------------------------: | :---------: | :--------: | :---------: | :-----------: | :------: | :----: | :---: | :----------------: | :-------------------------------------------------------------------: |
+| [DeepFillv1](./deepfillv1_8xb2_places-256x256.py) | square bbox |  256x256   |    3500k    | Places365-val |  11.019  | 23.429 | 0.862 |         8          | [model](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_8x2_places_20200619-c00a0e21.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_8x2_places_20200619-c00a0e21.log.json) |
+
 ## Quick Start
 
 **Train**

configs/deepfillv1/README_zh-CN.md

@@ -21,18 +21,18 @@
 
 <br/>
 
-**Places365-Challenge**
-
-|                       算法                        |  掩膜类型   | 分辨率  | 训练集容量 |    测试集     | l1 损失 |  PSNR  | SSIM  | GPU 信息 |                                         下载                                         |
-| :-----------------------------------------------: | :---------: | :-----: | :--------: | :-----------: | :-----: | :----: | :---: | :------: | :----------------------------------------------------------------------------------: |
-| [DeepFillv1](./deepfillv1_8xb2_places-256x256.py) | square bbox | 256x256 |   3500k    | Places365-val | 11.019  | 23.429 | 0.862 |    8     | [模型](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_8x2_places_20200619-c00a0e21.pth) \| [日志](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_8x2_places_20200619-c00a0e21.log.json) |
-
 **CelebA-HQ**
 
 |                       算法                        |  掩膜类型   | 分辨率  | 训练集容量 |   测试集   | l1 损失 |  PSNR  | SSIM  | GPU 信息 |                                          下载                                           |
 | :-----------------------------------------------: | :---------: | :-----: | :--------: | :--------: | :-----: | :----: | :---: | :------: | :-------------------------------------------------------------------------------------: |
 | [DeepFillv1](./deepfillv1_4xb4_celeba-256x256.py) | square bbox | 256x256 |   1500k    | CelebA-val |  6.677  | 26.878 | 0.911 |    4     | [模型](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_4x4_celeba_20200619-dd51a855.pth) \| [日志](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_4x4_celeba_20200619-dd51a855.log.json) |
 
+**Places365-Challenge**
+
+|                       算法                        |  掩膜类型   | 分辨率  | 训练集容量 |    测试集     | l1 损失 |  PSNR  | SSIM  | GPU 信息 |                                         下载                                         |
+| :-----------------------------------------------: | :---------: | :-----: | :--------: | :-----------: | :-----: | :----: | :---: | :------: | :----------------------------------------------------------------------------------: |
+| [DeepFillv1](./deepfillv1_8xb2_places-256x256.py) | square bbox | 256x256 |   3500k    | Places365-val | 11.019  | 23.429 | 0.862 |    8     | [模型](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_8x2_places_20200619-c00a0e21.pth) \| [日志](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_8x2_places_20200619-c00a0e21.log.json) |
+
 ## 快速开始
 
 **训练**

configs/deepfillv1/metafile.yml

@@ -8,17 +8,6 @@ Collections:
   - inpainting
   Year: 2018
 Models:
-- Config: configs/deepfillv1/deepfillv1_8xb2_places-256x256.py
-  In Collection: DeepFillv1
-  Name: deepfillv1_8xb2_places-256x256
-  Results:
-  - Dataset: Places365-val
-    Metrics:
-      PSNR: 23.429
-      SSIM: 0.862
-      l1 error: 11.019
-    Task: Inpainting
-  Weights: https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_8x2_places_20200619-c00a0e21.pth
 - Config: configs/deepfillv1/deepfillv1_4xb4_celeba-256x256.py
   In Collection: DeepFillv1
   Name: deepfillv1_4xb4_celeba-256x256
@@ -30,3 +19,14 @@ Models:
       l1 error: 6.677
     Task: Inpainting
   Weights: https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_4x4_celeba_20200619-dd51a855.pth
+- Config: configs/deepfillv1/deepfillv1_8xb2_places-256x256.py
+  In Collection: DeepFillv1
+  Name: deepfillv1_8xb2_places-256x256
+  Results:
+  - Dataset: Places365-val
+    Metrics:
+      PSNR: 23.429
+      SSIM: 0.862
+      l1 error: 11.019
+    Task: Inpainting
+  Weights: https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_8x2_places_20200619-c00a0e21.pth

configs/deepfillv2/README.md

@@ -20,18 +20,18 @@ We present a generative image inpainting system to complete images with free-for
 
 ## Results and models
 
-**Places365-Challenge**
-
-|                       Model                       | Mask Type | Resolution | Train Iters |    Dataset    | l1 error |  PSNR  | SSIM  | Training Resources |                                Download                                 |
-| :-----------------------------------------------: | :-------: | :--------: | :---------: | :-----------: | :------: | :----: | :---: | :----------------: | :---------------------------------------------------------------------: |
-| [DeepFillv2](./deepfillv2_8xb2_places-256x256.py) | free-form |  256x256   |    100k     | Places365-val |  8.635   | 22.398 | 0.815 |         8          | [model](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_places_20200619-10d15793.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_places_20200619-10d15793.log.json) |
-
 **CelebA-HQ**
 
 |                       Model                       | Mask Type | Resolution | Train Iters |  Dataset   | l1 error |  PSNR  | SSIM  | Training Resources |                                  Download                                  |
 | :-----------------------------------------------: | :-------: | :--------: | :---------: | :--------: | :------: | :----: | :---: | :----------------: | :------------------------------------------------------------------------: |
 | [DeepFillv2](./deepfillv2_8xb2_celeba-256x256.py) | free-form |  256x256   |     20k     | CelebA-val |  5.411   | 25.721 | 0.871 |         8          | [model](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_celeba_20200619-c96e5f12.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_celeba_20200619-c96e5f12.log.json) |
 
+**Places365-Challenge**
+
+|                       Model                       | Mask Type | Resolution | Train Iters |    Dataset    | l1 error |  PSNR  | SSIM  | Training Resources |                                Download                                 |
+| :-----------------------------------------------: | :-------: | :--------: | :---------: | :-----------: | :------: | :----: | :---: | :----------------: | :---------------------------------------------------------------------: |
+| [DeepFillv2](./deepfillv2_8xb2_places-256x256.py) | free-form |  256x256   |    100k     | Places365-val |  8.635   | 22.398 | 0.815 |         8          | [model](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_places_20200619-10d15793.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_places_20200619-10d15793.log.json) |
+
 ## Quick Start
 
 **Train**

configs/deepfillv2/README_zh-CN.md

@@ -21,18 +21,18 @@
 
 <br/>
 
-**Places365-Challenge**
-
-|                       算法                        | 掩膜类型  | 分辨率  | 训练集容量 |    测试集     | l1 损失 |  PSNR  | SSIM  | GPU 信息 |                                          下载                                          |
-| :-----------------------------------------------: | :-------: | :-----: | :--------: | :-----------: | :-----: | :----: | :---: | :------: | :------------------------------------------------------------------------------------: |
-| [DeepFillv2](./deepfillv2_8xb2_places-256x256.py) | free-form | 256x256 |    100k    | Places365-val |  8.635  | 22.398 | 0.815 |    8     | [模型](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_places_20200619-10d15793.pth) \| [日志](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_places_20200619-10d15793.log.json) |
-
 **CelebA-HQ**
 
 |                       算法                        | 掩膜类型  | 分辨率  | 训练集容量 |   测试集   | l1 损失 |  PSNR  | SSIM  | GPU 信息 |                                           下载                                            |
 | :-----------------------------------------------: | :-------: | :-----: | :--------: | :--------: | :-----: | :----: | :---: | :------: | :---------------------------------------------------------------------------------------: |
 | [DeepFillv2](./deepfillv2_8xb2_celeba-256x256.py) | free-form | 256x256 |    20k     | CelebA-val |  5.411  | 25.721 | 0.871 |    8     | [模型](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_celeba_20200619-c96e5f12.pth) \| [日志](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_celeba_20200619-c96e5f12.log.json) |
 
+**Places365-Challenge**
+
+|                       算法                        | 掩膜类型  | 分辨率  | 训练集容量 |    测试集     | l1 损失 |  PSNR  | SSIM  | GPU 信息 |                                          下载                                          |
+| :-----------------------------------------------: | :-------: | :-----: | :--------: | :-----------: | :-----: | :----: | :---: | :------: | :------------------------------------------------------------------------------------: |
+| [DeepFillv2](./deepfillv2_8xb2_places-256x256.py) | free-form | 256x256 |    100k    | Places365-val |  8.635  | 22.398 | 0.815 |    8     | [模型](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_places_20200619-10d15793.pth) \| [日志](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_places_20200619-10d15793.log.json) |
+
 ## 快速开始
 
 **训练**

configs/deepfillv2/metafile.yml

@@ -8,17 +8,6 @@ Collections:
   - inpainting
   Year: 2019
 Models:
-- Config: configs/deepfillv2/deepfillv2_8xb2_places-256x256.py
-  In Collection: DeepFillv2
-  Name: deepfillv2_8xb2_places-256x256
-  Results:
-  - Dataset: Places365-val
-    Metrics:
-      PSNR: 22.398
-      SSIM: 0.815
-      l1 error: 8.635
-    Task: Inpainting
-  Weights: https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_places_20200619-10d15793.pth
 - Config: configs/deepfillv2/deepfillv2_8xb2_celeba-256x256.py
   In Collection: DeepFillv2
   Name: deepfillv2_8xb2_celeba-256x256
@@ -30,3 +19,14 @@ Models:
       l1 error: 5.411
     Task: Inpainting
   Weights: https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_celeba_20200619-c96e5f12.pth
+- Config: configs/deepfillv2/deepfillv2_8xb2_places-256x256.py
+  In Collection: DeepFillv2
+  Name: deepfillv2_8xb2_places-256x256
+  Results:
+  - Dataset: Places365-val
+    Metrics:
+      PSNR: 22.398
+      SSIM: 0.815
+      l1 error: 8.635
+    Task: Inpainting
+  Weights: https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_places_20200619-10d15793.pth