Shapes Detection OpenCV Python with Source Code | OpenCV Python Projects with Source Code

Shapes Detection OpenCV Python with Source Code | OpenCV Python Projects with Source Code Subscribe here for More Source code & tutorials: https://bit.ly/2YdWUxU​​​​​​​​​​​​​​​ LIKE our FB PAGE: https://www.facebook.com/itsourcecode Official Website: https://itsourcecode.com/​​​​​​​​​​​​​​​ Download the complete source code here: https://bit.ly/3pGzAEZ Increase ad revenue 50-250% with Ezoic - https://bit.ly/2OIIPpD Song: Ikson - Spring (No Copyright Music Vlog Library) Music promoted by No Copyright Music Vlog Library. Intro made by Prince Ly Cesar The Shapes Detection OpenCV Python was developed using Python OpenCV, In this Shape Detection OpenCV Python project, I am taking an image that contains shapes like triangle, square, rectangle, and circle. The image is then converted to grayscale using the cvtColor() function. What is OpenCV? OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. The Grayscaled image is then Thresholded using the THRESH_BINARY Method. The Thresholded image is then taken and contours are found on that image. The Contours obtained are then looped and the edges are counted using the approxPolyDP() function, which takes each contour. The edges of the Contour are then drawn on the image using drawContours() function. This Python OpenCV Project also includes a downloadable Python Project With Source Code for free, just find the downloadable source code below and click to start downloading. By the way, if you are new to python programming and you don’t know what would be the Python IDE to use, I have here a list of the Best Python IDE for Windows, Linux, Mac OS that will suit you. I also have here How to Download and Install the Latest Version of Python on Windows. To start executing Shapes Detection OpenCV Python With Source Code, make sure that you have installed Python 3.9 and PyCharm on your computer. Shapes Detection OpenCV Python With Source Code: Steps on how to run the project Step 1: Download the given source code below. Step 2: Import the project to your PyCharm IDE. Step 3: Run the project. In today’s article, we learned how to perform shape detection with OpenCV and Python. To accomplish this, we leveraged contour approximation, the process of reducing the number of points on a curve to a more simple approximated version. Then, based on this contour approximation, we examined the number of vertices each shape has. Given the vertex count, we were able to accurately label each of the shapes. If you have any questions or suggestions about Shapes Detection OpenCV Python With Source Code, please feel free to leave a comment below.