未验证 提交 a600f087 编写于 作者: W wangguanzhong 提交者: GitHub

remove useless gif, test=document_fix (#7463)

上级 41ca7cad
......@@ -18,7 +18,7 @@
<div align="center">
<img src="docs/images/ppdet.gif" width="800"/>
<img src="https://user-images.githubusercontent.com/22989727/205581915-aa8d6bee-5624-4aec-8059-76b5ebaf96f1.gif" width="800"/>
</div>
......
......@@ -17,7 +17,7 @@
</div>
<div align="center">
<img src="docs/images/ppdet.gif" width="800"/>
<img src="https://user-images.githubusercontent.com/22989727/205581915-aa8d6bee-5624-4aec-8059-76b5ebaf96f1.gif" width="800"/>
</div>
......
......@@ -3,7 +3,7 @@
# 关键点检测系列模型
<div align="center">
<img src="./football_keypoint.gif" width='800'/>
<img src="https://user-images.githubusercontent.com/22989727/205551833-a891a790-73c6-43cb-84f9-91553e9ef27b.gif" width='800'/>
</div>
## 目录
......
......@@ -30,7 +30,7 @@ The keypoint detection part in PaddleDetection follows the state-of-the-art algo
At the same time, PaddleDetection provides a self-developed real-time keypoint detection model [PP-TinyPose](./tiny_pose/README_en.md) optimized for mobile devices.
<div align="center">
<img src="./football_keypoint.gif" width='800'/>
<img src="https://user-images.githubusercontent.com/22989727/205551833-a891a790-73c6-43cb-84f9-91553e9ef27b.gif" width='800'/>
</div>
## Model Recommendation
......
因为 它太大了无法显示 image diff 。你可以改为 查看blob
......@@ -32,7 +32,7 @@ PP-TinyPose是PaddleDetecion针对移动端设备优化的实时关键点检测
- [Android Fitness Demo](https://github.com/zhiboniu/pose_demo_android) 基于PP-TinyPose, 高效实现健身校准与计数功能。
<div align="center">
<img src="../../../docs/images/fitness_demo.gif" width='636'/>
<img src="https://user-images.githubusercontent.com/22989727/205545098-fe6515af-3f1d-4303-bb4d-6e2141e42e2c.gif" width='636'/>
</div>
- 欢迎扫码快速体验
......
......@@ -24,7 +24,7 @@ If you want to deploy it on the mobile devives, you also need:
- [Android Fitness Demo](https://github.com/zhiboniu/pose_demo_android) based on PP-TinyPose, which efficiently implements fitness calibration and counting.
<div align="center">
<img src="../../../docs/images/fitness_demo.gif" width='636'/>
<img src="https://user-images.githubusercontent.com/22989727/205545098-fe6515af-3f1d-4303-bb4d-6e2141e42e2c.gif" width='636'/>
</div>
- Welcome to scan the QR code for quick experience.
......
......@@ -45,7 +45,7 @@ PP-Tracking单镜头跟踪采用的方案是[FairMOT](./fairmot),跨镜头跟
</div>
<div width="1000" align="center">
<img src="../../docs/images/pptracking-demo.gif"/>
<img src="https://user-images.githubusercontent.com/22989727/205546999-f847183d-73e5-4abe-9896-ce6a245efc79.gif"/>
<br>
视频来源:VisDrone和BDD100K公开数据集</div>
</div>
......
......@@ -40,7 +40,7 @@ PP-Tracking supports GUI predict and deployment. Please refer to this [doc](http
</div>
<div width="1000" align="center">
<img src="../../docs/images/pptracking-demo.gif"/>
<img src="https://user-images.githubusercontent.com/22989727/205546999-f847183d-73e5-4abe-9896-ce6a245efc79.gif"/>
<br>
video source:VisDrone, BDD100K dataset</div>
</div>
......
......@@ -6,7 +6,7 @@
现有行人跟踪器对高人群密度场景表现不佳,人头跟踪更适用于密集场景的跟踪。
[HT-21](https://motchallenge.net/data/Head_Tracking_21)是一个高人群密度拥挤场景的人头跟踪数据集,场景包括不同的光线和环境条件下的拥挤的室内和室外场景,所有序列的帧速率都是25fps。
<div align="center">
<img src="../../../docs/images/ht_fairmot.gif" width='800'/>
<img src="https://user-images.githubusercontent.com/22989727/205540742-820984c2-8920-467a-bdde-faea421018c5.gif" width='800'/>
</div>
## 模型库
......
......@@ -22,7 +22,7 @@ PP-Tracking supports two paradigms: single camera tracking (MOT) and multi-camer
PP-tracking provides an AI studio public project tutorial. Please refer to this [tutorial](https://aistudio.baidu.com/aistudio/projectdetail/3022582).
<div align="center">
<img src="../../../docs/images/mot16_jde.gif" width=500 />
<img src="https://user-images.githubusercontent.com/22989727/205540305-457d48bf-e9ec-4f28-896c-64c870126e05.gif" width=500 />
</div>
## Model Zoo
......
......@@ -20,7 +20,7 @@ PP-Tracking支持单镜头跟踪(MOT)和跨镜头跟踪(MTMCT)两种模式,针
PP-Tracking 提供了AI Studio公开项目案例,教程请参考[PP-Tracking之手把手玩转多目标跟踪](https://aistudio.baidu.com/aistudio/projectdetail/3022582)
<div align="center">
<img src="../../../docs/images/mot16_jde.gif" width=500 />
<img src="https://user-images.githubusercontent.com/22989727/205540305-457d48bf-e9ec-4f28-896c-64c870126e05.gif" width=500 />
</div>
## 模型库
......
因为 它太大了无法显示 image diff 。你可以改为 查看blob
因为 它太大了无法显示 image diff 。你可以改为 查看blob
因为 它太大了无法显示 image diff 。你可以改为 查看blob
因为 它太大了无法显示 image diff 。你可以改为 查看blob
......@@ -17,7 +17,7 @@
应用行为:摔倒识别
<div align="center">
<img src="../images/action.gif" width='1000'/>
<img src="https://user-images.githubusercontent.com/22989727/205582385-08a1b6ae-9b1b-465a-ac25-d6427571eb56.gif" width='600'/><br>
<center>数据来源及版权归属:天覆科技,感谢提供并开源实际场景数据,仅限学术研究使用</center>
</div>
......@@ -88,7 +88,7 @@ SKELETON_ACTION: # 基于骨骼点的行为识别模型配置
应用行为:打电话识别
<div align="center">
<img src="../images/calling.gif" width='1000'/>
<img src="https://user-images.githubusercontent.com/22989727/205596971-d92fd24e-977a-4742-91cc-ce5b4802473c.gif" width='600'/><br>
<center>数据来源及版权归属:天覆科技,感谢提供并开源实际场景数据,仅限学术研究使用</center>
</div>
......@@ -145,7 +145,7 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pph
应用行为:吸烟识别
<div align="center">
<img src="../images/smoking.gif" width='1000'/>
<img src="https://user-images.githubusercontent.com/22989727/205599300-380c3805-63d6-43cc-9b77-2687b1328d7b.gif" width='600'/><br>
<center>数据来源及版权归属:天覆科技,感谢提供并开源实际场景数据,仅限学术研究使用</center>
</div>
......@@ -198,7 +198,7 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pph
应用行为:闯入识别
<div align="center">
<img src="https://user-images.githubusercontent.com/22989727/178769370-03ab1965-cfd1-401b-9902-82620a06e43c.gif" width='1000'/>
<img src="https://user-images.githubusercontent.com/22989727/178769370-03ab1965-cfd1-401b-9902-82620a06e43c.gif" width='600'/>
</div>
具体使用请参照[PP-Human检测跟踪模块](pphuman_mot.md)`5. 区域闯入判断和计数`
......@@ -213,7 +213,7 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pph
应用行为:打架识别
<div align="center">
<img src="../images/fight_demo.gif" width='1000'/>
<img src="https://user-images.githubusercontent.com/22989727/205597198-8b4333b3-6c39-472c-a25c-018dac908867.gif" width='600'/><br>
<center>数据来源及版权归属:Surveillance Camera Fight Dataset。</center>
</div>
......
......@@ -36,7 +36,7 @@ Note:
## Skeleton-based action recognition -- falling detection
<div align="center"> <img src="../images/action.gif" width='1000'/> <center>Data source and copyright owner:Skyinfor
<div align="center"> <img src="https://user-images.githubusercontent.com/22989727/205582385-08a1b6ae-9b1b-465a-ac25-d6427571eb56.gif" width='600'/><br> <center>Data source and copyright owner:Skyinfor
Technology. Thanks for the provision of actual scenario data, which are only
used for academic research here. </center>
......@@ -101,7 +101,7 @@ SKELETON_ACTION: # Config for skeleton-based action recognition model
## Image-Classification-Based Action Recognition -- Calling Recognition
<div align="center"> <img src="../images/calling.gif" width='1000'/> <center>Data source and copyright owner:Skyinfor
<div align="center"> <img src="https://user-images.githubusercontent.com/22989727/205596971-d92fd24e-977a-4742-91cc-ce5b4802473c.gif" width='600'/><br> <center>Data source and copyright owner:Skyinfor
Technology. Thanks for the provision of actual scenario data, which are only
used for academic research here. </center>
......@@ -148,7 +148,7 @@ ID_BASED_CLSACTION: # config for classfication-based action recognition model
## Detection-based Action Recognition -- Smoking Detection
<div align="center"> <img src="../images/smoking.gif" width='1000'/> <center>Data source and copyright owner:Skyinfor
<div align="center"> <img src="https://user-images.githubusercontent.com/22989727/205599300-380c3805-63d6-43cc-9b77-2687b1328d7b.gif" width='600'/><br> <center>Data source and copyright owner:Skyinfor
Technology. Thanks for the provision of actual scenario data, which are only
used for academic research here. </center>
......@@ -240,8 +240,8 @@ VIDEO_ACTION: # Config for detection-based action recognition model
The result is shown as follow:
<div width="1000" align="center">
<img src="../images/fight_demo.gif"/>
<div width="600" align="center">
<img src="https://user-images.githubusercontent.com/22989727/205597198-8b4333b3-6c39-472c-a25c-018dac908867.gif"/>
</div>
Data source and copyright owner: Surveillance Camera Fight Dataset.
......
......@@ -69,8 +69,8 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pph
测试效果如下:
<div width="1000" align="center">
<img src="../images/attribute.gif"/>
<div width="600" align="center">
<img src="https://user-images.githubusercontent.com/22989727/205597518-7a602bd5-e643-44a1-a4ca-03c9ffecd918.gif"/>
</div>
数据来源及版权归属:天覆科技,感谢提供并开源实际场景数据,仅限学术研究使用
......
......@@ -65,7 +65,7 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pph
The test result is:
<div width="1000" align="center">
<div width="600" align="center">
<img src="https://user-images.githubusercontent.com/48054808/159898428-5bda0831-7249-4889-babd-9165f26f664d.gif"/>
</div>
......
......@@ -57,8 +57,8 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pph
测试效果如下:
<div width="1000" align="center">
<img src="../images/mot.gif"/>
<div width="600" align="center">
<img src="https://user-images.githubusercontent.com/22989727/205599943-8da89ce8-f6d1-47e5-adc8-6d199b76d167.gif"/>
</div>
数据来源及版权归属:天覆科技,感谢提供并开源实际场景数据,仅限学术研究使用
......@@ -90,7 +90,7 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pph
测试效果如下:
<div align="center">
<img src="https://user-images.githubusercontent.com/22989727/178769370-03ab1965-cfd1-401b-9902-82620a06e43c.gif" width='1000'/>
<img src="https://user-images.githubusercontent.com/22989727/178769370-03ab1965-cfd1-401b-9902-82620a06e43c.gif" width='600'/>
</div>
## 方案说明
......
......@@ -59,8 +59,8 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pph
The test result is:
<div width="1000" align="center">
<img src="../images/mot.gif"/>
<div width="600" align="center">
<img src="https://user-images.githubusercontent.com/22989727/205599943-8da89ce8-f6d1-47e5-adc8-6d199b76d167.gif"/>
</div>
Data source and copyright owner:Skyinfor Technology. Thanks for the provision of actual scenario data, which are only used for academic research here.
......@@ -90,7 +90,7 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pph
The test result is:
<div align="center">
<img src="https://user-images.githubusercontent.com/22989727/178769370-03ab1965-cfd1-401b-9902-82620a06e43c.gif" width='1000'/>
<img src="https://user-images.githubusercontent.com/22989727/178769370-03ab1965-cfd1-401b-9902-82620a06e43c.gif" width='600'/>
</div>
......
......@@ -58,13 +58,13 @@ python3 deploy/pipeline/pipeline.py
### 示例效果
- camera 1:
<div width="1080" align="center">
<img src="../images/c1.gif"/>
<div width="600" align="center">
<img src="https://user-images.githubusercontent.com/22989727/205595795-fd859feb-8218-450f-a109-91c27713a662.gif"/>
</div>
- camera 2:
<div width="1080" align="center">
<img src="../images/c2.gif"/>
<div width="600" align="center">
<img src="https://user-images.githubusercontent.com/22989727/205595826-18ab5f0e-a572-4950-a502-96e6eb904a1e.gif"/>
</div>
......
......@@ -61,13 +61,13 @@ Under the above circumstances, the REID model used in MTMCT integrates open-sour
### Example
- camera 1:
<div width="1080" align="center">
<img src="../images/c1.gif"/>
<div width="600" align="center">
<img src="https://user-images.githubusercontent.com/22989727/205595795-fd859feb-8218-450f-a109-91c27713a662.gif"/>
</div>
- camera 2:
<div width="1080" align="center">
<img src="../images/c2.gif"/>
<div width="600" align="center">
<img src="https://user-images.githubusercontent.com/22989727/205595826-18ab5f0e-a572-4950-a502-96e6eb904a1e.gif"/>
</div>
......
......@@ -103,8 +103,8 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppv
测试效果如下:
<div width="1000" align="center">
<img src="../images/vehicle_attribute.gif"/>
<div width="600" align="center">
<img src="https://user-images.githubusercontent.com/22989727/205599146-56abd72f-6e0a-4a21-bd11-f8bb421f2887.gif"/>
</div>
## 方案说明
......
......@@ -105,8 +105,8 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppv
The result is shown as follow:
<div width="1000" align="center">
<img src="../images/vehicle_attribute.gif"/>
<div width="600" align="center">
<img src="https://user-images.githubusercontent.com/22989727/205599146-56abd72f-6e0a-4a21-bd11-f8bb421f2887.gif"/>
</div>
......
......@@ -74,8 +74,8 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infe
测试效果如下:
<div width="1000" align="center">
<img src="../images/illegal_parking_demo.gif"/>
<div width="600" align="center">
<img src="https://user-images.githubusercontent.com/22989727/205598624-bcf5165c-990c-4fe4-8cde-eb1d45298d8f.gif"/>
</div>
可视化视频中左上角num后面的数值表示当前帧中车辆的数目;Total count表示画面中出现的车辆的总数,包括出现又消失的车辆。
......
......@@ -62,8 +62,8 @@ The parameter description:
Test Result:
<div width="1000" align="center">
<img src="../images/illegal_parking_demo.gif"/>
<div width="600" align="center">
<img src="https://user-images.githubusercontent.com/22989727/205598624-bcf5165c-990c-4fe4-8cde-eb1d45298d8f.gif"/>
</div>
......
......@@ -99,7 +99,7 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppv
【效果展示】
<div width="1000" align="center">
<div width="600" align="center">
<img src="../images/mot_vehicle.gif"/>
</div>
......
......@@ -120,7 +120,7 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppv
【Showcase】
<div width="1000" align="center">
<div width="600" align="center">
<img src="../images/mot_vehicle.gif"/>
</div>
......
......@@ -65,7 +65,7 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppv
测试效果如下:
<div width="1000" align="center">
<div width="600" align="center">
<img src="../images/ppvehicleplate.jpg"/>
</div>
......
......@@ -68,7 +68,7 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppv
The test results are as follows:
<div width="1000" align="center">
<div width="600" align="center">
<img src="../images/ppvehicleplate.jpg"/>
</div>
......
......@@ -10,7 +10,7 @@ PP-Tracking支持单镜头跟踪(MOT)和跨镜头跟踪(MTMCT)两种模式,针
</div>
<div width="1000" align="center">
<img src="../../docs/images/pptracking-demo.gif"/>
<img src="https://user-images.githubusercontent.com/22989727/205546999-f847183d-73e5-4abe-9896-ce6a245efc79.gif"/>
<br>
视频来源:VisDrone和BDD100K公开数据集</div>
</div>
......
......@@ -11,7 +11,7 @@ PP-Tracking supports two paradigms: single camera tracking (MOT) and multi-camer
</div>
<div width="1000" align="center">
<img src="../../docs/images/pptracking-demo.gif"/>
<img src="https://user-images.githubusercontent.com/22989727/205546999-f847183d-73e5-4abe-9896-ce6a245efc79.gif"/>
<br>
video source:VisDrone and BDD100K dataset</div>
</div>
......
因为 它太大了无法显示 image diff 。你可以改为 查看blob
因为 它太大了无法显示 image diff 。你可以改为 查看blob
因为 它太大了无法显示 image diff 。你可以改为 查看blob
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册