Object Detection annotation tool entirely written in Python. Automatically annotate entire images using a pretrained object detection model or pseudo-classify single bbounding boxes with Self-Supervised pretrained models.
Project description
CVLAB [WIP]
CVLAB is a computer vision annotation tool written in python. pyimgui has been adopted for the graphical user interface.
My goal is to realize a simple, lightweight and standalone app that let you annotate your images, run auto-annotation experiments with your own models, import/export data collections and analyse your data distribution.
Right now the project is a work in progress. Fundamental features are available and operative, but not ready for a daily usage yet.
Above: Settings & Info section. Allows you to setup your labels and visualize stats about your data.
Install from PyPI (Windows only)
pip install cvlab-gui
Installation requirements
pyimgui
Yolo-LAB runs on the docking branch of PyImgui (not on PyPI atm). You can install the provided wheels.
windows
pip install *win_amd64.whl
linux
pip install *linux_x86_64.whl
other requirements
pip install -r requirements.txt
pip install -r yolov5/requirements.txt
Setup new project
python -m cvlab_gui.setup_project
Run CVLAB GUI
python -m cvlab_gui.main
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