Face Detection in 10 minutes using OpenCV and Python | LIVE Face & Eye Detection

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This video titled "Face Detection in 10 minutes using OpenCV and Python | LIVE Face & Eye Detection" explains how to do Face Detection in 10 minutes using OpenCV and Python using Haar Cascade Classifier and shows its implementation using Python Opencv in just 10 min. We will see how to perform LIVE Face & Eye Detection with high accuracy. In order to do object recognition/detection with cascade files, you first need cascade files that you can get from github link given below. For Detecting things like faces, cars, smiles, eyes, and license plates, there are corresponding cascade .xml files available on github link. This is the next video in the Python OpenCV Crash Course. Later on, in the upcoming videos, we will see how can we build face detection, object detection types of Computer Vision Projects.

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#FaceDetectionOpenCV #OpenCVProject #ComputerVision
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Why are we converting the image into Grayscale before using Haar Cascade Classifier?

TheAIUniversity
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Nice video really helpful for me thank you very much

amitjuyal
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I'm facing below error while accessing *face_roi* line

OpenCV(4.4.0) error: (-215:Assertion failed) !empty() in function 'detectMultiScale'

CuriousCommunityYT
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Hey sir actually I want to start with python and then can you explain step by step topic to reach AI

Fun-and-life
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Sir can you please make a video for deploying python project on cloud with media files handling, like upload files and retrieve from cloud.

ponrajs
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Sir I'm getting an typeError as 'numpy.ndarray' object is not callable
How to solve this issue. Plz anyone guide me

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