honorableTag

Label videos for computer vision projects using PyQT5, pims, and SQLite.

Features

Basics functionality implemented including class labeling, pan & zoom, SQL storage, and export in darknet (YOLO) format.

An internal web app to share repositories among teams is in development.

Installation

Make sure conda-forge is appended to your conda config channels before moving forward with installation.

conda config --append channels conda-forge

PyAV

Due to the complexity of the dependencies, PyAV is not always the easiest Python package to install. The most straight-foward install is via conda-forge: conda install av -c conda-forge

PyQt5

pip install PyQt5

PIMS

Currently using the development version of pims due to a compatability issue.

pip install git+https://github.com/soft-matter/pims.git

Testing

Writing more tests is on the todo list. To run the tests that are available, use the command below.

python -m tests.test

Todo

Implement more testing
Color change feature
Learn to make better README files

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