GitHub - gavisharora/facerecognition: Python project based on facial recognition using OpenCV and Histogram of oriented gradients (HOG) model, it can also be modified to run using Convulutional neural networks (CNN) to increase accuracy, HOG was preferred for its ability to run faster on low end devices without GPUs. Place the training data inside the 'known' folder, which has folders labeled as names of people it contains the images of, this is the training data, the test data/images are supposed to be in the 'unknown' folder. The output will be the image and if detected the name of the person detected along with it.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
known		known
unknown		unknown
face.py		face.py
facerecognition.ipynb		facerecognition.ipynb

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Python project based on facial recognition using OpenCV and Histogram of oriented gradients (HOG) model, it can also be modified to run using Convulutional neural networks (CNN) to increase accuracy, HOG was preferred for its ability to run faster on low end devices without GPUs. Place the training data inside the 'known' folder, which has folde…