Live Sketch OpenCV Python With Source Code
The Live Sketch OpenCV Python was developed using Python OpenCV, In this Project we are going to make a Real-time/ live Sketch making script using OpenCV in Python. OpenCV makes it very easy for us to work with images and videos on the computer.
A Live Sketch is an application which will show a live sketch of your webcam feed. In this project we’ll be using NumPy and OpenCV. We will also make use of Numpy and Matplotlib to make this live sketch app.
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.
What is NumPy?
NumPy is the fundamental package for scientific computing with Python. It contains among other things:
- A powerful N-dimensional array object
- Sophisticated (broadcasting) functions
- Tools for integrating C/C++ and Fortran code
- Useful linear algebra, Fourier transform, and random number capabilities Besides its obvious scientific uses.
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 Live Sketch OpenCV Python With Source Code, make sure that you have installed Python 3.9 and PyCharm in your computer.
Live Sketch OpenCV Python With Source Code : Steps on how to run the project
Time needed: 5 minutes
These are the steps on how to run Live Sketch 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 as cv import numpy as np from matplotlib import pyplot as plt
Complete Source Code
import cv2 as cv import numpy as np from matplotlib import pyplot as plt def sketch(image): # Convert image to gray scale img_gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY) # Clean up image using Gaussian Blur img_gray_blur = cv.GaussianBlur(img_gray, (5, 5), 0) # Extract Edges canny_edges = cv.Canny(img_gray_blur, 30, 70) # Do an invert binarize the image ret, mask = cv.threshold(canny_edges, 120, 255, cv.THRESH_BINARY_INV) return mask def liveSketch(): cap = cv.VideoCapture(0) while True: ret, frame = cap.read() cv.imshow("Live Sketch", sketch(frame)) if cv.waitKey(1) == 27: break cap.release() cv.destroyAllWindows() if __name__ == "__main__": liveSketch()
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.
This article aims to implement a Computer Vision model that generates a Live Video Sketch of the real time footage of a Webcam. Implementing a Computer Vision model that creates a live video sketch of real time webcam video. Source code is written in python and model is based on OpenCV.
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