未验证 提交 e228a070 编写于 作者: G George 提交者: GitHub

[MOT] update mot doc (#3141)

* fix mot doc, test=document_fix

* fix mot16 doc, test=document_fix
上级 d88f305d
......@@ -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 |
| :--------------| :------- | :----: | :----: | :----: | :----: | :----: | :------: | :----: |:-----: |
......
......@@ -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。
......
......@@ -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 |
| :---------| :------- | :----: | :----: | :--: | :----: | :---: | :---: |:-------: | :---: | :---: |
......
......@@ -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 |
| :---------| :------- | :----: | :----: | :--: | :----: | :---: | :---: |:-----: | :-----: | :-----: |
......
......@@ -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
```
......
......@@ -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。
......
......@@ -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 |
| :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: |
......
......@@ -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 |
| :----------------- | :------- | :----: | :----: | :---: | :----: | :---: | :---: | :---: | :---: |
......
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