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Showing posts with the label object tracking

How Far You Are From Your Camera? Python | OpenCv

Hello Friends! In this blog, you will learn to find out the distance between you and your webcam. Take a look at the video below.  Let's get started. For this project, we will be using face detection using the Haar Cascade method. Therefore, we need to download the cascade classifier for face detection from Github. You can download and paste the file from this link . Let us first understand what is Haar Cascade?  Haar Cascade  is a machine learning object detection algorithm used to identify objects in an image or video and based on various​​ features.  If you want to read a more detailed version of it, check out this link . Now, we will start by importing the libraries and define a variable to capture video from my webcam. import cv2 import numpy as np cap = cv2.VideoCapture( 0 ) Let us import our classifier file which we downloaded from Github. face = cv2.CascadeClassifier( 'haarcascade_frontalface_alt.xml' ) write a while loop and capture the image frames. Also, w...

Object Detection And Tracking using Python - Opencv

Let us discuss today how you can detect and track an object in real-time. We will be using Python language and Opencv library for this purpose. Check out the video below. If you have read my previous blogs, you can directly skip down to the contour part. As usual, we need to make a few assumptions for the proper working of this application. This background is always static i.e. there is no addition or subtraction of objects in the background scene. The background-color is always constant. It does not change with time. The object that will be used for writing/painting is of a different color than the background to give us sufficient contrast between foreground and background. We are ready to begin now. Let us start by installing necessary python libraries for our project using  pip install.  We will be needing  Numpy  and  Opencv  libraries. Now create a python project and create a new script. Import the required libraries into python script as...