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Tried to Implement the OpenCV, for detection of Face and Eyes from an image, given as an input, as well as rendering live webcam, using Haar-cascades, for Face and Eyes detection, it was fun working with OpenCV, implementing new things.

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OpenCV-Implementaion

Tried to Implement the OpenCV, for detection of Face and Eyes from an image, given as an input, as well as rendering live webcam, using Haar-cascades, for Face and Eyes detection, it was fun working with OpenCV, implementing new things.

Worked on the Car detection model, using OpenCV, using Haar-cascades, which can be shown as,

111-min

Recently, Explored and learned about Background subtraction, using OpenCV, which is a widely used approach for detecting moving objects in videos from static cameras(CCTV). This deals with an approach of detecting the moving objects from the difference between the current frame and a reference frame(Background).

Implementation:

test

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Tried to Implement the OpenCV, for detection of Face and Eyes from an image, given as an input, as well as rendering live webcam, using Haar-cascades, for Face and Eyes detection, it was fun working with OpenCV, implementing new things.

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  • Jupyter Notebook 91.4%
  • Python 8.6%