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.

Description:

OpenCV Library:

OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products.

Currently OpenCV helps a huge style of programming languages like C++, Python, Java etc and is available on unique structures together with Windows, Linux, OS X, Android, iOS and so on. Also, interfaces based on CUDA and OpenCL are also beneath energetic development for high-velocity GPU operations.

The Content of the file are :

opencv_face_detector.pbtxt

opencv_face_detector_uint8.pb

age_deploy.prototxt

age_net.caffemodel

gender_deploy.prototxt

gender_net.caffemodel

a few pictures to try the project on

detect.py

Here  .pb file is protobuf file which is Binary file. And .pbtxt file is text file of .pb file

it contains the trained weights value of model.

Here we have use argparse library of python which is use to take agrument from command prompt .As we have to take image as argument.

Firstly Install opencv and argparser

And Now Go to the directory where the files are there


Output:







Reference:


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