heyvi 0.0.6

Project Vi

"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.