OpenCV Tutorial – Develop Computer Vision Apps in the Cloud With Python

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Learn how to use OpenCV in the cloud with Python. OpenCV is a library of programming functions mainly aimed at real-time computer vision.

You will learn how to create computer vision applications in the cloud on Google Colab. You will use AI and machine learning.

πŸ’» Code:

✏️ This course was developed by Misbah Mohammed. Check out his channel:

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:18) Lesson 1: Changing color profiles in an image
⌨️ (0:05:01) Image Properties
⌨️ (0:15:17) Lesson 2: Edge Detection
⌨️ (0:21:08) Erosion and Dilation
⌨️ (0:30:40) Lesson 3: Image Manipulation-Noise Removal
⌨️ (0:41:56) Lesson 4: Drawing Shapes and Writing Text on Images
⌨️ (1:00:10) Intermediate Exercise 1: Color Detection
⌨️ (1:21:05) Intermediate Exercise 2: Face Detection
⌨️ (1:37:52) Intermediate Exercise 3: Shape Detection
⌨️ (2:01:55) Project 1: Ball Tracking
⌨️ (2:29:43) Project 2: Face Recognition

⭐️ Special thanks to our Champion supporters! ⭐️
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22 thoughts on “OpenCV Tutorial – Develop Computer Vision Apps in the Cloud With Python”

  1. Mehmet Arif Γ‡ELΔ°K

    Very nice, thank you so much. Is there a source for C ++ as well?

  2. Dude that’s soooo many videos and topics to learn and practice bombarded on us at the same time😭😭😭😭😭

    I’m gonna watch all of your recent uploads, it’s gonna take me a long time. But I’ll still do it.
    ❀❀❀❀❀❀

  3. SideRocketeer0

    omg ive been waiting for this tutorial for so long
    java open cv next please

  4. 021_dhruv aggarwal

    Best tutorial for opencv, specially for providing reasons for everything

  5. Nikhil Kumar

    No doubt, Content is amazing but don’t you think sound quality could have been better.

  6. The only drawback using Google colab for opencv is, we cannot access the webcam without a bunch of javascript code snippet

  7. Aviraj ankit jain

    Fst time I watch a video and very intuitive.πŸ‘ŒπŸ‘Œ. My request is please increase audio.

  8. Muhammad Kamal Azmi

    Can anybody give me any advice or opinion about how do we make recognizer with many people within it with optimum accuracy and minimum run time?

    I’ve tried using LBPH algorithm which generates a kind of model to be used in recognizing; I didn’t think it gave an optimum accuracy. I’ve also used PCA algorithm, and I thought I had failed due to the lack of number of images of each person. And I have tried dlib along with face_recognition libraries (the one that does not generate a model file), and it took so much time for recognizing.

    Thank you in advance ☺️

  9. Vivek Radhakrishna

    at 18:50 you say Canny cannot run without a grayscale image input. But it works absolutely fine when using the original color image?
    is this because greyscale was a requirement in older versions of cv?

  10. Nour Bou Nasr

    The tutor is amazing , he has very deep knowledge and explains everything super clear just amazingggg !

  11. tanapon juengsmarn

    great tutorial , I love how you making programing so funny with lots of jokes, Thank you

Comments are closed.