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A PyQt5-based GUI application to make temporal annotations on videos for training machine learning models.

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Anvid

Python Version Contributions Welcome License

A PyQt5-based GUI application to make temporal annotations on videos for training machine learning models.

Installation

Before you are ready to run Anvid, ensure you have Python 3.7 or later on your system as well the latest pip version. We recommend to run Anvid within a python virtual environment for easier management. If you don't have a virtual environment already created, create a new one by issuing the following commands within a directory of your choice:

python3 -m venv pyenv
source pyenv/bin/activate

Within the directory where you wish to install Anvid, download the latest source code using git:

git clone git://github.com/raikel/mcrops.git

Or download it manually. After that, cd into the project directory and install python dependencies:

cd anvid
pip install requirements.txt

Start the application by typing:

python anvid/app.py

Usage

./docs/static/ui-help.png

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A PyQt5-based GUI application to make temporal annotations on videos for training machine learning models.

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