Project Vi
Project description
"Hey Vi!"
HEYVI: Visym Analytics for Visual AI docs: https://visym.github.io/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 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 >3.6
ffmpeg (required for videos)
vipy, torch, pytorch_lightning (for training)
Installation
pip install heyvi
Quickstart
v = heyvi.sensor.rtsp()
T = heyvi.system.Tracker()
with heyvi.system.YoutubeLive(fps=5, encoder='480p') as s:
T(v, frame_callback=lambda im, v: s(im.annotate(fontsize=15, timestamp=heyvi.util.timestamp(), timestampoffset=(6,10)).rgb()), minconf=0.2)
Create a default RTSP camera and GPU enabled object tracker, then stream the annotated video (e.g. boxes with captions and timestamps) to a YouTube live stream.
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