[cherry-pick] update mot doc (#3142)

* fix mot doc, test=document_fix

* fix mot16 doc, test=document_fix

configs/mot/README.md

@@ -38,7 +38,7 @@ pip install -r requirements.txt
 
 ## Model Zoo
 
-### JDE on MOT-16 training set
+### JDE on MOT-16 Training Set
 
 | backbone           | input shape | MOTA | IDF1  |  IDS  |   FP  |  FN  |  FPS  | download | config |
 | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: |
@@ -49,11 +49,11 @@ pip install -r requirements.txt
 **Notes:**
  JDE used 8 GPUs for training and mini-batch size as 4 on each GPU, and trained for 30 epoches.
 
-### DeepSORT on MOT-16 training set
+### DeepSORT on MOT-16 Training Set
 
 | backbone  | input shape  | MOTA   | IDF1   |  IDS  |   FP  |   FN  |   FPS  | Detector | ReID | config |
 | :---------| :------- | :----: | :----: | :--: | :----: | :---: | :---: |:-----: | :-----: | :-----: |
-| DarkNet53 | 1088x608 |  72.2  |  60.5  | 998  |  8054  | 21644 |  5.07 |[JDE](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams)| [ReID](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
+| DarkNet53 | 1088x608 |  72.2  |  60.5  | 998  |  8054  | 21644 |  5.07 |[JDE](https://paddledet.bj.bcebos.com/models/mot/jde_darknet53_30e_1088x608.pdparams)| [ReID](https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams)|[config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/deepsort/deepsort_pcb_pyramid_r101.yml) |
 
 **Notes:**
  DeepSORT does not need to train, only used for evaluation. Before DeepSORT evaluation, you should get detection results by a detection model first, here we use JDE, and then prepare them like this:
@@ -80,7 +80,7 @@ Each txt is the detection result of all the pictures extracted from each video,
 - `conf` is the object score with default value `1` (the results had been filtered out according to the detection score threshold)
 - `x,y,z` are used in 3D, default to `-1` in 2D.
 
-### FairMOT Results on MOT-16 train set
+### FairMOT Results on MOT-16 Training Set
 
 | backbone       | input shape | MOTA | IDF1 |  IDS  |    FP   |   FN   |    FPS    | download | config |
 | :--------------| :------- | :----: | :----: | :----: | :----: | :----: | :------: | :----: |:-----: |
@@ -88,7 +88,7 @@ Each txt is the detection result of all the pictures extracted from each video,
 | DLA-34         | 1088x608 |  83.7  |  83.3  |   435  |  3829  |  13764  |     -   | [model](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml) |
 
 
-### FairMOT Results on MOT-16 test set
+### FairMOT Results on MOT-16 Test Set
 
 | backbone       | input shape | MOTA | IDF1 |  IDS  |    FP   |   FN   |    FPS    | download | config |
 | :--------------| :------- | :----: | :----: | :----: | :----: | :----: | :------: | :----: |:-----: |

configs/mot/README_cn.md

@@ -38,7 +38,7 @@ pip install -r requirements.txt
 
 ## 模型库
 
-### JDE在MOT-16 train集上结果
+### JDE在MOT-16 Training Set上结果
 
 | 骨干网络            |  输入尺寸  |  MOTA  |  IDF1 |  IDS  |  FP  |  FN  |  FPS  |  检测模型  | 配置文件 |
 | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: |
@@ -49,7 +49,7 @@ pip install -r requirements.txt
 **注意:**
  JDE使用8个GPU进行训练，每个GPU上batch size为4，训练30个epoch。
 
-### DeepSORT在MOT-16 train集上结果
+### DeepSORT在MOT-16 Training Set上结果
 
 |  骨干网络  | 输入尺寸 | MOTA |  IDF1  |  IDS | FP  |   FN  |   FPS  | 检测模型 | ReID模型 | 配置文件 |
 | :---------| :------- | :----: | :----: | :--: | :----: | :---: | :---: |:-----: | :-----: | :-----: |
@@ -80,19 +80,19 @@ det_results_dir
 - `conf`是目标得分设置为`1`(已经按检测的得分阈值筛选出的检测结果)
 - `x,y,z`是3D中用到的，在2D中默认为`-1`
 
-### FairMOT在MOT-16 train集上结果
+### FairMOT在MOT-16 Training Set上结果
 
 |    骨干网络      |  输入尺寸 |  MOTA  |  IDF1  |  IDS  |   FP  |   FN   |   FPS   |  下载链接 | 配置文件 |
 | :--------------| :------- | :----: | :----: | :---: | :----: | :---: | :------: | :----: |:----: |
 | DLA-34(paper)  | 1088x608 |  83.3  |  81.9  |  544  |  3822  | 14095 |    -     |   -   |   -   |
-| DLA-34         | 1088x608 |  83.7  |  83.3  |  435  |  3829  | 13764 |    -     |[model](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml) |
+| DLA-34         | 1088x608 |  83.7  |  83.3  |  435  |  3829  | 13764 |    -     |[下载链接](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml) |
 
-### FairMOT在MOT-16 test集上结果
+### FairMOT在MOT-16 Test Set上结果
 
 |    骨干网络      |  输入尺寸 |  MOTA  |  IDF1  |   IDS  |   FP   |   FN   |    FPS   |  下载链接  | 配置文件 |
 | :--------------| :------- | :----: | :----: | :----: | :----: | :----: |:-------: | :----: | :----: |
 | DLA-34(paper)  | 1088x608 |  74.9  |  72.8  |  1074  |    -   |    -   |   25.9   |    -   |   -    |
-| DLA-34         | 1088x608 |  74.8  |  74.4  |  930   |  7038  |  37994 |    -     |[model](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml) |
+| DLA-34         | 1088x608 |  74.8  |  74.4  |  930   |  7038  |  37994 |    -     |[下载链接](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml) |
 
 **注意:**
  FairMOT使用8个GPU进行训练，每个GPU上batch size为6，训练30个epoch。

configs/mot/deepsort/README.md

@@ -13,7 +13,7 @@ English | [简体中文](README_cn.md)
 
 ## Model Zoo
 
-### DeepSORT on MOT-16 training set
+### DeepSORT on MOT-16 Training Set
 
 | backbone  | input shape | MOTA | IDF1 |  IDS  |   FP  |   FN  |   FPS  | Detector | ReID | config |
 | :---------| :------- | :----: | :----: | :--: | :----: | :---: | :---: |:-------: | :---: | :---: |

configs/mot/deepsort/README_cn.md

@@ -13,7 +13,7 @@
 
 ## 模型库
 
-### DeepSORT在MOT-16 train集上结果
+### DeepSORT在MOT-16 Training Set上结果
 
 |  骨干网络  |  输入尺寸  |  MOTA  |  IDF1  |  IDS |   FP   |   FN  |  FPS | 检测模型 | ReID模型 | 配置文件 |
 | :---------| :------- | :----: | :----: | :--: | :----: | :---: | :---: |:-----: | :-----: | :-----: |

configs/mot/fairmot/README.md

@@ -15,7 +15,7 @@ English | [简体中文](README_cn.md)
 
 ## Model Zoo
 
-### FairMOT Results on MOT-16 train set
+### FairMOT Results on MOT-16 Training Set
 
 | backbone       | input shape | MOTA | IDF1 |  IDS  |    FP   |   FN   |    FPS    | download | config |
 | :--------------| :------- | :----: | :----: | :----: | :----: | :----: | :------: | :----: |:-----: |
@@ -23,7 +23,7 @@ English | [简体中文](README_cn.md)
 | DLA-34         | 1088x608 |  83.7  |  83.3  |   435  |  3829  |  13764  |     -   | [model](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml) |
 
 
-### FairMOT Results on MOT-16 test set
+### FairMOT Results on MOT-16 Test Set
 
 | backbone       | input shape | MOTA | IDF1 |  IDS  |    FP   |   FN   |    FPS    | download | config |
 | :--------------| :------- | :----: | :----: | :----: | :----: | :----: | :------: | :----: |:-----: |
@@ -54,6 +54,7 @@ CUDA_VISIBLE_DEVICES=0 python tools/eval_mot.py -c configs/mot/fairmot/fairmot_d
 
 # use saved checkpoint in training
 CUDA_VISIBLE_DEVICES=0 python tools/eval_mot.py -c configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml -o weights=output/fairmot_dla34_30e_1088x608/model_final.pdparams
+```
 
 ## Citations
 ```

configs/mot/fairmot/README_cn.md

@@ -14,19 +14,19 @@
 
 ## 模型库
 
-### FairMOT在MOT-16 train集上结果
+### FairMOT在MOT-16 Training Set上结果
 
 |    骨干网络      |  输入尺寸 |  MOTA  |  IDF1  |  IDS  |   FP  |   FN   |   FPS   |  下载链接 | 配置文件 |
 | :--------------| :------- | :----: | :----: | :---: | :----: | :---: | :------: | :----: |:----: |
 | DLA-34(paper)  | 1088x608 |  83.3  |  81.9  |  544  |  3822  | 14095 |    -     |   -   |   -   |
-| DLA-34         | 1088x608 |  83.7  |  83.3  |  435  |  3829  | 13764 |    -     |[model](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml) |
+| DLA-34         | 1088x608 |  83.7  |  83.3  |  435  |  3829  | 13764 |    -     |[下载链接](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml) |
 
-### FairMOT在MOT-16 test集上结果
+### FairMOT在MOT-16 Test Set上结果
 
 |    骨干网络      |  输入尺寸 |  MOTA  |  IDF1  |   IDS  |   FP   |   FN   |    FPS   |  下载链接  | 配置文件 |
 | :--------------| :------- | :----: | :----: | :----: | :----: | :----: |:-------: | :----: | :----: |
 | DLA-34(paper)  | 1088x608 |  74.9  |  72.8  |  1074  |    -   |    -   |   25.9   |    -   |   -    |
-| DLA-34         | 1088x608 |  74.8  |  74.4  |  930   |  7038  |  37994 |    -     |[model](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml) |
+| DLA-34         | 1088x608 |  74.8  |  74.4  |  930   |  7038  |  37994 |    -     |[下载链接](https://paddledet.bj.bcebos.com/models/mot/fairmot_dla34_30e_1088x608.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/fairmot/fairmot_dla34_30e_1088x608.yml) |
 
 **注意:**
  FairMOT使用8个GPU进行训练，每个GPU上batch size为6，训练30个epoch。

configs/mot/jde/README.md

@@ -17,7 +17,7 @@ English | [简体中文](README_cn.md)
 
 ## Model Zoo
 
-### JDE on MOT-16 training set
+### JDE on MOT-16 Training Set
 
 | backbone           | input shape | MOTA | IDF1  |  IDS  |   FP  |  FN  |  FPS  | download | config |
 | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: |

configs/mot/jde/README_cn.md

@@ -17,7 +17,7 @@
 
 ## 模型库
 
-### JDE在MOT-16 train集上结果
+### JDE在MOT-16 Training Set上结果
 
 | 骨干网络            |  输入尺寸  |  MOTA  |  IDF1 |  IDS  |  FP  |  FN  |  FPS  |  检测模型  | 配置文件 |
 | :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: |