Practical-10

 Aim: Using image data, predict the gender and age range of an individual in Python. Test the Data Science model using your own image.

Theory: 

OpenCV-Python:

OpenCV-Python is a library of Python bindings designed to solve computer vision problems. OpenCV-Python makes use of Numpy, which is a highly optimized library for numerical operations with a MATLAB-style syntax. All the OpenCV array structures are converted to and from Numpy arrays.

Deepface:

It is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid face recognition framework wrapping models: VGG-Face, Google FaceNet, OpenFace, Facebook DeepFace, DeepID and Dlib. The library is mainly based on Keras and TensorFlow.