GitHub / Mostafa-wael / Analyzing-videos-and-images-using-Cascade-Classifiers

Object Detection using Haar feature-based cascade classifiers is an effective object detection method proposed by Paul Viola and Michael Jones in their paper, "Rapid Object Detection using a Boosted Cascade of Simple Features" in 2001. It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images. It is then used to detect objects in other images.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mostafa-wael%2FAnalyzing-videos-and-images-using-Cascade-Classifiers
PURL: pkg:github/Mostafa-wael/Analyzing-videos-and-images-using-Cascade-Classifiers

Topics: haar-cascade-classifier, ml, object-detection, opencv, python

• Files
• Readme
• Dependencies