FACIAL DETECTION IN 8 MINS! (PYTHON, OPENCV)
Описание
? SUMMARY
In this video, I return from my 3-month absence on the channel with a tutorial on how to detect faces on an image using OpenCV and Python. In the video, I show you how to create a cascade in OpenCV, how to detect a face in an image, and how to draw a rectangle on the detected face. This is a great intro tutorial on Computer Vision and Computer Vision with Python.
? SUBSCRIBE - https://bit.ly/baraltech
? EMAIL for Business - mailto:lartech2007@gmail.com
? LINKS
Haar Cascade XML File: https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_frontalface_default.xml
The Rock's Banger Song: https://www.youtube.com/watch?v=E9T78bT26sk
OpenCV PyPi Page: https://pypi.org/project/opencv-python/
RealPython Article: https://realpython.com/face-recognition-with-python/
⌚ TIMESTAMPS
0:00 | Intro
00:19 | Installing OpenCV
00:57 | Writing the Code
8:11 | End
? MY SETUP:
? PC: Custom Built:
✅ Intel Core i5-10400F
✅ Gigabyte NVIDIA GeForce GTX 1060 3 GB WINDFORCE OC
✅ Gigabyte B560M DS3H AC
✅ G-Skill Ripjaws V DDR4-3200MHz CL16 RAM (2x8 GB)
✅ DeepCool MACUBE 110 Micro-ATX Case
✅ Western Digital Blue SN550 500 GB NVMe SSD
✅ EVGA 500 BR 80+ Bronze Power Supply
⌨️ Keyboard: Razer Huntsman Gaming Keyboard (Razer Opto-Mechanical Purple Switches)
?️ Monitor: ASUS VP228 21.5” 1080p 75Hz
?️ Mouse: VicTsing 2.4GHz Wireless Mouse
?️ Mic: Blue Yeti USB Condenser Microphone
? Secondary Laptop/Monitor: Dell Inspiron 11-3185 2-in-1
?️ TAGS
- OpenCV
- Facial Detection OpenCV
- Face Detection Python
HASHTAGS:
#Python #OpenCV #FaceDetection
Рекомендуемые видео




![DANDYS WORLD TIK TOK COMPLETION #9 [SHELLVISION EDITION]](/images/video/2025-04-24/71/a1/71a1815b9be62056f2f8239fb47ba55c.jpg?width=640)











![GENTLEMAN - PREMIUM DEEP HOUSE MIX [VOL.1]](/images/video/2026-07-08/a4/aa/a4aac426aa2eadfbb647ab4b5da2305b.jpg?width=640)
![DANDYS WORLD TIK TOK COMPLETION #10 [MOONFLOWER EDITION]](/images/video/2025-05-06/ba/1d/ba1db980ec4a514456908b181e652dac.jpg?width=640)