Angle Finder OpenCV Python With Source Code
The Angle Finder OpenCV Python was developed using Python OpenCV, In this Python Project With Source Code we will learn on How To Create The Project Using OpenCV Python. We will first define two lines using mouse clicks and then find the angle between these lines using simple mathematics.
What is OpenCV?
OpenCV is short for Open Source Computer Vision. Intuitively by the name, it is an open-source Computer Vision and Machine Learning library. This library is capable of processing real-time image and video while also boasting analytical capabilities. It supports the Deep Learning frameworks.
In 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 the Python IDE to use, I have here a list of Best Python IDE for Windows, Linux, Mac OS that will suit for you. I also have here How to Download and Install Latest Version of Python on Windows.
To start executing Angle Finder OpenCV Python With Source Code, make sure that you have installed Python 3.9 and PyCharm in your computer.
Angle Finder OpenCV Python With Source Code : Steps on how to run the project
Time needed: 5 minutes
These are the steps on how to run Angle Finder OpenCV Python With Source Code
- Step 1: Download the given source code below.
First, download the given source code below and unzip the source code.
- Step 2: Import the project to your PyCharm IDE.
Next, import the source code you’ve download to your PyCharm IDE.
- Step 3: Run the project.
last, run the project with the command “py main.py”
import cv2 import math
Complete Source Code
import cv2 import math path = 'angle.jpg' img = cv2.imread(path) pointsList =  def mousePoints(event,x,y,flags,params): if event == cv2.EVENT_LBUTTONDOWN: size = len(pointsList) if size != 0 and size % 3 != 0: cv2.line(img,tuple(pointsList[round((size-1)/3)*3]),(x,y),(0,0,255),2) cv2.circle(img,(x,y),5,(0,0,255),cv2.FILLED) pointsList.append([x,y]) def gradient(pt1,pt2): return (pt2-pt1)/(pt2-pt1) def getAngle(pointsList): pt1, pt2, pt3 = pointsList[-3:] m1 = gradient(pt1,pt2) m2 = gradient(pt1,pt3) angR = math.atan((m2-m1)/(1+(m2*m1))) angD = round(math.degrees(angR)) cv2.putText(img,str(angD),(pt1-40,pt1-20),cv2.FONT_HERSHEY_COMPLEX, 1.5,(0,0,255),2) while True: if len(pointsList) % 3 == 0 and len(pointsList) !=0: getAngle(pointsList) cv2.imshow('Image',img) cv2.setMouseCallback('Image',mousePoints) if cv2.waitKey(1) & 0xFF == ord('q'): pointsList =  img = cv2.imread(path)
Download Source Code below
Anyway, if you want to level up your programming knowledge, especially Python OpenCV, try this new article I’ve made for you Best OpenCV Projects With Source Code For Beginners 2021.
In this python project, we learn on how to create an Angle Finder. and this Python project was developed and designed using Python OpenCV, and this Python OpenCV Project also includes a downloadable Python Project With Source Code for free.
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