Making your own haarcascade OpenCV Python

What are Haarcascades?

Haar Cascade classifiers are an effective way for object detection. Haar Cascade is a machine learning-based approach where a lot of positive and negative images are used to train the classifier.

• Positive images – These images contain the images which we want our classifier to identify.
• Negative Images – Images of everything else, which do not contain the object we want to detect.

Requirements:

Make sure you have python, OpenCV installed on your pc (all the latest versions).

The haar cascade files can be downloaded from the OpenCV Github repository

dasar_haartrain Tool, download from here -> Click Here

Tutorial on How to Train our own haarcascade: