PP-Human serves as the first open-source tool of real-time pedestrian anaylsis relying on the PaddlePaddle deep learning framework. Versatile and efficient in deployment, it has been used in various senarios. PP-Human
offers many input options, including image/single-camera video/multi-camera video, and covers multi-object tracking, attribute recognition, and action recognition. PP-Human can be applied to intelligent traffic, the intelligent community, industiral patrol, and so on. It supports server-side deployment and TensorRT acceleration，and achieves real-time analysis on the T4 server.
Community intelligent management supportted by PP-Human, please refer to this [AI Studio project](https://aistudio.baidu.com/aistudio/projectdetail/3679564) for quick start tutorial.
Full-process operation tutorial of PP-Human, covering training, deployment, action expansion, please refer to this [AI Studio project](https://aistudio.baidu.com/aistudio/projectdetail/3842982).
## I. Environment Preparation
Requirement: PaddleDetection version >= release/2.4 or develop
3. 行为识别模型使用[NTU-RGB+D](https://rose1.ntu.edu.sg/dataset/actionRecognition/)，[UR Fall Detection Dataset](http://fenix.univ.rzeszow.pl/~mkepski/ds/uf.html)和部分业务数据融合训练，精度在业务数据测试集上得到。
