Pinned Repositories
apidoc
2Miners APIs Documentation
AutoGPT
An experimental open-source attempt to make GPT-4 fully autonomous.
Awsome-Deep-Learning-for-Video-Analysis
Papers, code and datasets about deep learning and multi-modal learning for video analysis
mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
pyTON
Real-Time-Abnormal-Events-Detection-and-Tracking-in-Surveillance-System
The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnormal behaviors: Motion influence map, Pattern recognition models, State event model. For multi-camera tracking, we combined a single camera tracking algorithm with a spatial based algorithm.
video-content-classifier
A video content classifier built as a Proof-of-Concept
video_analyst
A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.
pupok92's Repositories
pupok92/apidoc
2Miners APIs Documentation
pupok92/AutoGPT
An experimental open-source attempt to make GPT-4 fully autonomous.
pupok92/Awsome-Deep-Learning-for-Video-Analysis
Papers, code and datasets about deep learning and multi-modal learning for video analysis
pupok92/mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
pupok92/pyTON
pupok92/Real-Time-Abnormal-Events-Detection-and-Tracking-in-Surveillance-System
The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnormal behaviors: Motion influence map, Pattern recognition models, State event model. For multi-camera tracking, we combined a single camera tracking algorithm with a spatial based algorithm.
pupok92/video-content-classifier
A video content classifier built as a Proof-of-Concept
pupok92/video_analyst
A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.