How to Detect QRCode and BarCode using OpenCV in Python | With Source Code

 In this tutorial, we are going to learn how to detect and read QRCode and BarCode in an image using OpenCV.

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Make analog clock using Python | In Urdu| With Source code

 In this tutorial we will learn how create a beautiful analog clock in python.

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Hospital Management System Project In Python With Source Code| LearnWithAoun

 In this tutorial, I'll show you how to build a Hospital Management System in Python  with source code.

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How to extract text from Pdf using Python | PDF to Text converter | with source code

We'll learn how to use PyPDF2 to extract text from a PDF file in this video. We also discover how to convert PDF to text. We'll begin with a straightforward example of extracting text from a single page. The text is then extracted from all of the pdf's pages.

Before we begin, you must first install the PyPDF2 library (pip install PyPDF2). PyPDF2 is a Python library that functions as a PDF toolkit. It has the ability to: Information about the document (title, author, etc.) is extracted. dividing documents into pages Page by page merging of papers Page cropping Creating a single page from numerous pages PDF file encryption and decryption and more!

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PHOTO to Paint ART using OPENCV-PYTHON with Source CODE | Cartoonify yourself.

 In this video, we'll look at how to use Python to turn a photo into a painting.

You don't have to be an expert in Python to run the program. Just install the necessary libraries and run the program.

       

           #Fixing the imports
import cv2
import numpy as np

#-----------------Phase 1
#Readin the image
image = cv2.imread('i5.jpg')

#resizing the image
#Interpolation is cubic for best results
image_resized = cv2.resize(image, None, fx=0.5, fy=0.5)



#-----------------Phase 2
#removing impurities from image
image_cleared = cv2.medianBlur(image_resized, 3)
image_cleared = cv2.medianBlur(image_cleared, 3)
image_cleared = cv2.medianBlur(image_cleared, 3)

image_cleared = cv2.edgePreservingFilter(image_cleared, sigma_s=1)


#tunre these two phase to get better resulrs
#-----------------Phase 3
#Bilateral Image filtering 
image_filtered = cv2.bilateralFilter(image_cleared, 3, 10, 5)

for i in range(2):
	image_filtered = cv2.bilateralFilter(image_filtered, 3, 20, 10)

for i in range(3):
	image_filtered = cv2.bilateralFilter(image_filtered, 5, 30, 10)

# for i in range(3):
# 	image_filtered = cv2.bilateralFilter(image_filtered, 5, 40, 10)

# for i in range(2):
# 	image_filtered = cv2.bilateralFilter(image_filtered, 3, 40, 5)
#--------------------------Phase 4
#Sharpening the image using addWeighted()
gaussian_mask= cv2.GaussianBlur(image_filtered, (7,7), 2)
image_sharp = cv2.addWeighted(image_filtered, 1.5, gaussian_mask, -0.5, 0)
image_sharp = cv2.addWeighted(image_sharp, 1.4, gaussian_mask, -0.2, 10)
#displayng images
cv2.imshow('Final Image', image_sharp)
cv2.imshow('Clear impurities', image_cleared)
cv2.imshow('original', image_resized)
#cv2.imwrite('art_test1.jpg', image_sharp)
cv2.waitKey(0)

       
 

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Visitor Detection | In Out detection | Spying Project using Python open CV| with Source code

In this video We will learn about how make a vister detection system to identify the person in or out at home or room. we made a project that can keep an eye on our house or room when we're not there. This project is a smart way to watch over our room and see who comes and goes. It can find it quickly and accurately, so even if someone leaves the room quickly, it can still find them.

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Real Time Face Mask Detection with OpenCV, Tensorflow and Python| With Source Code & complete guide

In this video lecture, we will learn how to use Tensorflow and OpenCV to build a Face Mask Detector. We will also look at how to use this with a live video camera and with video that has already been recorded. With more work, these kinds of models could be used with CCTV cameras to find and identify people who aren't wearing masks.

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Face landmarks detection | Opencv with Python | With Source Code

 

We’re going to see in this video how to detect the facial landmark with Opencv and Python.

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