The code for creating a data set of images containing a person's face and then using it to recognize any person in the data set on camera. The implementation uses openCV and there is a version that uses mtcnn (https://github.com/ipazc/mtcnn), but it was quite slow in a live setting. In order to collect images of person's name, run facecapture.py locally and it will create a folder with the name you input if a folder 'faces' is located in the same directory. Once the data set is collected, run main_version.py or mtcnn_version.py from the same directory.
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The code for creating a data set of images containing a person's face and then using it to recognize any person in the data set on camera.
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