- A program for basic frontal face detection using Pillow and OpenCV.
- A package inspired by UMich Coursera's Python Specialization.
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{FaceD}is simply a package that will take in a zip file of images in any format (.JPG or .PNG) and attempt to detect faces. This will crop the faces and return them to a canvas. Try out the package using the data sample zip files provided with the package. - This package is highly experimental and might be totally useless for some people.
- Hope this helps someone as much as it helped me in mastering python.
- See below for installation details.
pip install -i https://test.pypi.org/simple/ faced==0.0.4
pip install faced
import faced
- Utilized inbuilt unit testing to test results vs expectations and everything seems to work just fine.
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Running this package means you will need your own tesseract engine for text identification. Install it and point your system to the executable.
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The program also requires an in built classifier and this might or might not work for OS other than windows. I will check on that later but that is all for now.
- Working on CamFaceD which is a dynamic faced platform. CamFaceD can be used to train face detection although on a limited capacity. More to learn on this but steadily making progress and grateful for what I have learned so far.
