"Hey Vi!"
HEYVI: Analytics for Visual AI
docs: https://developer.visym.com/heyvi
HEYVI is a python package for visual AI that provides systems and trained models for activity detection and object tracking in videos.
HEYVI provides:
- Real time activity detection of the CAP activity classes
- Real time activity detection of the MEVA activity classes
- Real time visual object tracking in long duration videos
- Live streaming of annotated videos to youtube live
- Visual AI from RTSP cameras
Requirements
python 3.*
ffmpeg (required for videos)
vipy, torch, pytorch_lightning (for training)
Installation
pip install heyvi
Quickstart
v = heyvi.sensor.rtsp().framerate(5)
T = heyvi.system.Tracker()
with heyvi.system.YoutubeLive(fps=5, encoder='480p') as s:
T(v, frame_callback=lambda im: s(im.pixelize().annotate()))
Create a default RTSP camera and GPU enabled object tracker, then stream the privacy preserving annotated video (e.g. pixelated bounding boxes with captions) to a YouTube live stream.
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