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Showing content from https://github.com/UmSenhorQualquer/pythonVideoAnnotator below:

GitHub - video-annotator/pythonvideoannotator: Champalimaud Foundation

Documentation on ReadTheDocs

The software is an application written in python, which provides a GUI for users to analyse and to take notes of events occurred in the videos.

Features:

• Timeline for video navigation.
• Multiple events edition in the timeline.
• Graphs visualization over time.
• Objects tracking path edition.
• Plugins based app.

How to install:

1. Create a Virtual Environment (highly recommended) on your preferred Python distribution with Python 3.6:

   • example with Anaconda in Anaconda Prompt

   conda create -n videoannotator python=3.6
   
   ...
   
   conda activate videoannotator

2. Make sure you are in the just created virtual environment and install PythonVideoAnnotator with pip:

   pip install python-video-annotator

If you are having issues (e.g., MacOS Catalina):

1. Start with a fresh Virtual Environment (highly recommended) on your preferred Python distribution with Python 3.6:

   • example with Anaconda in Anaconda Prompt

   conda create -n videoannotator python=3.6
   
   ...
   
   conta activate videoannotator

2. Install some of the dependencies that might present issues as:

   pip install opencv-python-headless pyqt5==5.14.1 pyqtwebengine==5.14.0

3. Install Python Video Annotator

   pip install python-video-annotator

How to run:

1. After the installation completes, you can start Python Video Annotator with:

Follow the steps described here

• Ricardo Ribeiro - collaborator of the Scientific Software Platform of the Champalimaud Foundation.
• Hugo Cachitas working - collaborator of the Innate Behavior Lab of the Champalimaud Foundation.
• Carlos Mão de Ferro - collaborator of the Scientific Software Platform of the Champalimaud Foundation.
• Luís Teixeira - collaborator of the Scientific Software Platform of the Champalimaud Foundation.

This project was initially developed in collaboration with the Innate Behavior Lab to correct the result of a Computer Vision software to track flies in an arena

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