ID: 5d91a27022cea57a5cc554a7

Face Detector Using Open Cv

by SHIVAM GARG

Haar Cascade based face detector


License: Other

Tags: Computer Vision OpenCV Face Detection Haar Cascade

 Model stats and performance
Dataset Used Custom
Framework OpenCV
OS Used Linux
Inference time in seconds per sample.

Screenshots


WHAT IS IT?

Real-time face Detection with OpenCV from Webcam VideoStream. Face detection is a technique that identifies or locates human faces in digital images. A typical example of face detection occurs when we take photographs through our smartphones, and it instantly detects faces in the picture.This face detcetion script is based on the haar like classifier. Haar-like features are digital image features used in object recognition. They owe their name to their intuitive similarity with Haar wavelets and were used in the first real-time face detector. Paul Viola and Michael Jones in their paper titled “Rapid Object Detection using a Boosted Cascade of Simple Features”

HOW TO USE?

To run the inference script run the command python run.py. This will open the webcam and the facedetction will start.

WHAT ARE THE REQUIREMENTS?

Only OpenCV and numpy modules should be installed in the system. No specific GPU or CPU requirements are there. To get all the requirements and dependencies installed run the command. For GPU - pip install -r gpu_requirements.txt For CPU - pip install -r cpu_requirements.txt

Author View Profile

SHIVAM GARG
New Delhi, India
Pro
41
LEVEL

25201 Profile
Views

A philosophy student cleverly disguised as a Coax Deep Learning engineer spending whole day, practically every day, experimenting with TensorFlow,Pytorch, and Caffe; dabbling with Python and C++; and drinking a wide variety of Coffee everyday.

User Reviews



0 total ratings

Model has not been reviewed yet.

More by this user | Show All



Also checkout...