Face Detection with OpenCV: How to Detect Faces in Images Using Python

In this video, we are going to learn how to use OpenCV and Python to detect faces in images. We will walk through a step-by-step tutorial, starting with loading a pre-trained cascade classifier for face detection and reading in an input image. We'll then cover how to convert the input image to grayscale and use OpenCV's detectMultiScale function to detect faces in the image.

Once we have detected the faces, we'll draw rectangles around them using the cv2.rectangle function and save the output image to a file. Throughout the video, we'll explain the different steps in detail, providing code examples and tips for troubleshooting common issues.

Whether you're new to OpenCV or just getting started with computer vision, this tutorial will provide you with a solid foundation for face detection in images. So, if you're ready to take your OpenCV skills to the next level, join us for this exciting video!

frontalface default link: https://raw.githubusercontent.com/opencv/opencv/4.x/data/haarcascades/haarcascade_frontalface_default.xml just go there and ctrl + s full code: https://github.com/Pandeyashish17/Face-detection-using-python

#Python #OpenCV #FaceDetection #ComputerVision #ImageProcessing #Tutorial #StepByStep #PythonProgramming #MachineLearning #ArtificialIntelligence #CodeExample #GrayscaleConversion #HaarCascadeClassifier #ObjectDetection #CV2 ... https://www.youtube.com/watch?v=zD5B-fU4anA