[](https://badge.fury.io/py/heyvi)
\"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](https://visym.github.io/cap)
* Real time activity detection of the [MEVA activity classes](https://mevadata.org)
* 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](https://ffmpeg.org/download.html) (required for videos)
[vipy](https://github.com/visym/vipy), torch, pytorch_lightning (for training)
Installation
-------------------
```python
pip install heyvi
```
Quickstart
-------------------
```python
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.
[](https://youtu.be/rMuuRpBCaVU)
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