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Smart Selfie using OpenCV is an Interface which allows us to click selfies without touching our mobiles or any photo capturing devices. So, in this click the images project we have used OpenCV to do the trick for us, where using the OpenCV’s video capture function and some haarcascade files integrated with flask web framework we have made a smart selfie web application where you can click images without touching any keys on your laptop. The photos are later saved on your device specified directory for later use.
So, here we are using an OpenCV’s face, eye and smile cascade files to identify facial expressions of a person in the frame and then whenever it detects any smile or blink of an eye, it will capture the image. These cascading classifiers are like models which are trained on several positive similar images. So, in order to detect facial expression or eye of a person we use another cascade. detect Multiscale () function to detect the faces and draw a rectangle box over the face.
Reference links:
https://en.wikipedia.org/wiki/Cascading_classifiers,
https://docs.opencv.org/3.4/db/d28/tutorial_cascade_classifier.html
Note: Make sure you have checked the add to path tick boxes while installing python, anaconda.
Refer to this link, if you are just starting and want to know how to install anaconda.
If you already have anaconda and want to check on how to create anaconda environment, refer to this article set up jupyter notebook. You can skip the article if you have knowledge of installing anaconda, setting up environment and installing requirements.txt
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