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
Metadata
Release files for cvlab-gui 0.0.36
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cvlab-gui-0.0.36.tar.gz | 11.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cvlab_gui-0.0.36-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.4 MB
Release files / cvlab-gui-0.0.36.tar.gz
| Download URL | cvlab-gui-0.0.36.tar.gz |
|---|---|
| Size | 11.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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python-requests/2.28.1
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Release files / cvlab_gui-0.0.36-py3-none-any.whl
| Download URL | cvlab_gui-0.0.36-py3-none-any.whl |
|---|---|
| Size | 904.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.28.1
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