Readme
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:
python 3.*
ffmpeg (required for videos)
vipy, torch, pytorch_lightning (for training)
pip install heyvi
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.
FAQs
Project Vi
We found that heyvi demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Application Security
New SEC disclosure rules aim to enforce timely cyber incident reporting, but fear of job loss and inadequate resources lead to significant underreporting.
Security News
The Python Software Foundation has secured a 5-year sponsorship from Fastly that supports PSF's activities and events, most notably the security and reliability of the Python Package Index (PyPI).
Security News
LDAPjs, an LDAP Client and Server API for Node.js, was decommissioned after its maintainer received an abusive email from a user, raising concerns about this form of abuse as a potential attack vector.