Metadata-Version: 2.1
Name: heyvi
Version: 0.2.17
Summary: Project Vi
Home-page: https://github.com/visym/heyvi
Author: Visym Labs
Author-email: info@visym.com
License: UNKNOWN
Download-URL: https://github.com/visym/heyvi/archive/0.2.17.tar.gz
Description: [![PyPI version](https://badge.fury.io/py/heyvi.svg)](https://badge.fury.io/py/heyvi)
        
        \"Hey Vi!\"
        -------------------
        
        HEYVI: Visym 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 [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.
        
        
        [![YoutubeLive stream](https://img.youtube.com/vi/rMuuRpBCaVU/maxresdefault.jpg)](https://youtu.be/rMuuRpBCaVU)
        
        
        
        
        
        
        
        
        
Keywords: computer vision machine learning ML CV privacy video image
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Provides-Extra: all
