OpenCV is a huge open-source library for computer vision, machine learning, and image processing. It can process images and videos to identify objects, faces, or even the handwriting of a human. When it is integrated with various libraries, such as Numpy which is a highly optimized library for numerical operations, then the number of weapons increases in your Arsenal i.e whatever operations one can do in Numpy can be combined with OpenCV.
This article discusses how a face in an image can be blurred using OpenCV.
Apart from OpenCV module, to obtain this functionality we also need Haar Cascade frontal-face classifier needs to be downloaded. It is available as XML file and is used for detecting faces in an image
- Import module
- Reading an image using OpenCV
- Plotting it
- Detect face
- Draw a rectangle on the detected face
- Blur the rectangle
- Display output
Below is the implementation.
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