James  Watson

James Watson

1616302140

Corner Detection - Computer Vision and OpenCV C++

In this Computer Vision and OpenCV Tutorial in C++, We’ll talk about Corner Detection. We will first talk about the theory behind how corner detection works and the different types of corner detection algorithms. We will see some different examples of how to detect corners in images. At the end of the video, there will be some code examples of how we can apply what we have learned in the video in code and OpenCV and implement the corner detection algorithms.

Subscribe: https://www.youtube.com/channel/UCpABUkWm8xMt5XmGcFb3EFg

#opencv #c++

What is GEEK

Buddha Community

Corner Detection - Computer Vision and OpenCV C++
Chando Dhar

Chando Dhar

1619799996

Deep Learning Project : Real Time Object Detection in Python & Opencv

Real Time Object Detection in Python And OpenCV

Github Link: https://github.com/Chando0185/Object_Detection

Blog Link: https://knowledgedoctor37.blogspot.com/#

I’m on Instagram as @knowledge_doctor.

Follow Me On Instagram :
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#python project #object detection #python opencv #opencv object detection #object detection in python #python opencv for object detection

James  Watson

James Watson

1616047980

Corner Detection - Computer Vision and OpenCV C++

In this Computer Vision and OpenCV Tutorial in C++, I’ll talk about Corner Detection. We will first talk about the theory behind how corner detection works and the different types of corner detection algorithms. We will see some different examples of how to detect corners in images. At the end of the video, there will be some code examples of how we can apply what we have learned in the video in code and OpenCV and implement the corner detection algorithms.

The code example is available on my GitHub: https://github.com/niconielsen32

Subscribe: https://www.youtube.com/channel/UCpABUkWm8xMt5XmGcFb3EFg

#opencv #c++

James  Watson

James Watson

1616302140

Corner Detection - Computer Vision and OpenCV C++

In this Computer Vision and OpenCV Tutorial in C++, We’ll talk about Corner Detection. We will first talk about the theory behind how corner detection works and the different types of corner detection algorithms. We will see some different examples of how to detect corners in images. At the end of the video, there will be some code examples of how we can apply what we have learned in the video in code and OpenCV and implement the corner detection algorithms.

Subscribe: https://www.youtube.com/channel/UCpABUkWm8xMt5XmGcFb3EFg

#opencv #c++

Well and Color Detection of PCR Plate using Python and OpenCV

Here’s how you can detect each well and it’s color in a PCR 96 well plate

OpenCV is an open source library aimed at computer vision. It has great features that make tasks such as object, and color detection simple and intuitive.

In order to detect each well’s color we need to first get each well’s position in the picture. So, our first goal is to detect each well in a PCR plate. Once we do that we can easily get the pixel colors inside those wells.

We will be working with these libraries:

  • numpy
  • KDTree
  • webcolors
  • cv2

#pcr #python #object-detection #opencv #computer-vision #well and color detection of pcr plate using python and opencv

Morse Code Translator Detect Blinks — Python, OpenCV, MediaPipe

Hello everyone,

It has been a while since the last time I posted a tutorial, or something in general. Basically life happened and I decided not to share rather than sharing low quality content. Today, I’ll walk you through a computer vision project that takes your live video input and translates your blinks into Morse Alphabet so you can blink short and long to write messages.

The source code for the project is here, I also used this awesome tutorial as a boiler plate to start with, if you want to learn more about Computer Vision applications you can check the channel owner’s channel from the link I posted. So without further ado let’s dive right into it.

As for the beginning I want to explain MediaPipe library a little bit, “MediaPipe offers open source cross-platform, customizable ML solutions for live and streaming media.”, this definition is from their own website and explains what you can do with that library shortly and cleanly, they offer several other solutions that can run on different platforms and I’ll explain all of them in a different post in the future. The feature that we’ll use today is called “Face Mesh”, this solution provides us a face landmark map with the most important 468 landmarks that can be seen in a human’s face. Using that map we’ll calculate the ratio between some particular points in the face and with that information we’ll detect if the person on the camera blinked or not.

#python #opencv #mediapipe #computer-vision #morse code translator detect blinks — python, opencv, mediapipe #morse code translator detect blinks