58,593
likes
1,330
comments
daily view 0
monthly view 0
Live Analytics
Comments 0
OpenCV Course - Full Tutorial with Python Analytics Table
Income Estimates for OpenCV Course - Full Tutorial with Python
Based on this YouTube video's total view count of 5.62M views and industry-standard rates, the estimated total earning is $3.93K - $11.2K through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.
About OpenCV Course - Full Tutorial with Python
Explore OpenCV Course - Full Tutorial with Python with 5,624,323 views, 58,593 likes, and 1,330 comments. Experience the impact of this video content that has captured audience attention.
Learn everything you need to know about OpenCV in this full course for beginners. You will learn the very basics (reading images and videos, image transformations) to more advanced concepts (color spaces, edge detection). Towards the end, you'll have hands-on experience building a Deep Computer Vision model to classify between the characters in the popular TV series "The Simpsons". ⭐️ Code ⭐️ 🔗Github link: https://github.com/jasmcaus/opencv-course 🔗The Caer Vision library: https://github.com/jasmcaus/caer 🎥 Course developed by Jason Dsouza. Check out his work on Github: https://github.com/jasmcaus ❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba) ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:01:07) Installing OpenCV and Caer Section #1 - Basics ⌨️ (0:04:12) Reading Images & Video ⌨️ (0:12:57) Resizing and Rescaling Frames ⌨️ (0:20:21) Drawing Shapes & Putting Text ⌨️ (0:31:55) 5 Essential Functions in OpenCV ⌨️ (0:44:13) Image Transformations ⌨️ (0:57:06) Contour Detection Section #2 - Advanced ⌨️ (1:12:53) Color Spaces ⌨️ (1:23:10) Color Channels ⌨️ (1:31:03) Blurring ⌨️ (1:44:27) BITWISE operations ⌨️ (1:53:06) Masking ⌨️ (2:01:43) Histogram Computation ⌨️ (2:15:22) Thresholding/Binarizing Images ⌨️ (2:26:27) Edge Detection Section #3 - Faces: ⌨️ (2:35:25) Face Detection with Haar Cascades ⌨️ (2:49:05) Face Recognition with OpenCV's built-in recognizer Section #4 - Capstone ⌨️ (3:11:57) Deep Computer Vision: The Simpsons ⭐️ More ways to connect with Jason Dsouza ⭐️ - Medium: https://jasmcaus.medium.com - Twitter: https://twitter.com/jasmcaus - LinkedIn: https://www.linkedin.com/in/jasmcaus ✏️ Check out Jason's Deep Learning Crash Course for Beginners: https://youtu.be/VyWAvY2CF9c ⭐️ Special thanks to our Champion supporters! ⭐️ 🏆 Loc Do 🏆 Joseph C 🏆 DeezMaster -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
About YouTube Real-Time View Count
With SocialCounts.org’s view counter, track your YouTube video’s live view count and YouTube likes count in real time with fast, reliable updates.
Watch every YouTube video live view count rise with our real-time YouTube views tracker—built for accuracy and minimal delay.
Follow YouTube real time views as they happen, using our dedicated view counter for YouTube videos.
Get up-to-date live view count on YouTube and see real-time growth with SocialCounts.org’s smart tracking tools.
Embed Widget
Parameters:
fullscreen=true- Fullscreen countergraph=true- Live graph chartcounter=0/1/2- Select counter (0=likes, 1=views, 2=comments)
URL
Click to copy the embed URL to your clipboard

