CV Lab - Computer Vision Laboratory - a rapid prototyping tool for computer vision algorithms
Installation using pip:
pip3 install --upgrade cvlab
This command will install CV Lab (or update if you have already installed it). See the PyPI page for more information.
Alternatively you can clone entire git repository:
CV Lab requires:
CV Lab enables convenient development of computer vision algorithms by means of graphical designing of the processing flow. Writing code with OpenCV might be a time-consuming process. It is often required to compile and run the code multiple times in order to see the results of the modifications of the algorithm. Especially when some parameters are to be tuned for establishing the optimal values. Some code also has to be added to provide presentation of the intermediate or final results of the algorithm.
Instead, CV Lab offers interactive construction of the algorithms. OpenCV functions are available in a form of a palette of image processing blocks. They can be drag'n'dropped into a diagram and connected to each other for defining the data flow. Outputs of the functions in the diagram can be previewed. Parameters are available as convenient widgets like sliders or spinners. Therefore, any change in the diagram or parameter values can be instantly observed in the selected previews.
To run CV Lab just write in console:
python3 -m cvlab
python3 -O cvlab/__main__.py
Code elementon the diagram and connect its inputs/outputs, open previews
intpoint()- it will allow the code to be interrupted when it's needed
dictwhich survives recalculations)
generate code. The code will be copied to system clipboard.
Note: code generation is experimental. It may not work correctly with diagrams utilizing Sequences or some sophisticated elements.
Adding elements to CV Lab is really simple. See:
Due to a bug in old versions of OpenCV Python binding (<3.1), some OpenCV functions may cause random crashes of the entire application. Please use latest version of OpenCV available on the official OpenCV website.
Alternatively, you can install latest unofficial build of OpenCV using pip:
pip3 install --upgrade opencv-python
Note that most Linux OS packages often use outdated version of OpenCV. Before using above command you should uninstall them.
Automatic code generation is experimental. Only experienced users shall use it.
Some elements cannot be easily translated to python script code. Also, code generated from diagrams utilizing sequences may not work correctly.
Please, forgive us.
CV Lab Copyright (c) 2013-2019 Adam Brzeski, Jan Cychnerski This software is distributed under 'AGPL-3.0+' license, excluding cvlab/diagram/elements and cvlab/thirdparty Files in directory cvlab/diagram/elements are distributed under 'MIT License'. Files in directory cvlab/thirdparty are distributed under their specific licenses.