OlafenwaMoses/DeepStack_ActionNET
A custom DeepStack model for detecting 16 human actions.
This tool helps developers integrate human action detection into their applications. It takes images or videos as input and identifies 16 specific human actions, such as 'running,' 'eating,' or 'dancing,' outputting the detected action, its confidence, and its location within the frame. It's designed for developers building systems that need to automatically recognize human activities.
No commits in the last 6 months.
Use this if you are a developer and need to add pre-trained human action recognition capabilities to your application using a DeepStack AI server.
Not ideal if you are not a developer or if you need to detect actions beyond the 16 pre-defined human actions, as it would require custom model training.
Stars
26
Forks
6
Language
Python
License
MIT
Category
Last pushed
Aug 26, 2021
Commits (30d)
0
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