Tutorial: Installation for Py OpenCV

Installation for Visual Studio Code

(updated 2022.4)

This installation guide is for programming Python OpenCV. Make sure you install the correct software version as instructed.

For DLIP Lectures:

• Python >3.9

• Anaconda for Python >3.9

• OpenCV 4.x

1. Install Anaconda

Anaconda : Python and libraries package installer.

Follow: How to install Anaconda

2. Install Python via Anaconda

Python 3.9 (2022-1)

Python is already installed by installing Anaconda. But, we will make a virtual environment for a specific Python version.

• Open Anaconda Prompt(admin mode)

  
• First, update conda and pip

conda update -n base -c defaults conda
pip install --upgrade pip

• Then, Create virtual environment for Python 3.9.

• Name the $ENV as py39. If you are in base, enter conda activate py39

conda create -n py39 python=3.9.12

image

• After installation, activate the newly created environment

conda activate py39

image

3. Install Libraries

Install Numpy, OpenCV, Matplot, Jupyter

conda activate py39
conda install -c anaconda seaborn jupyter
conda install -c anaconda numpy
conda install -c conda-forge opencv

4. Install Visual Studio Code

Follow: How to Install VS Code

5. Setup Configuration in Visual Studio Code

Follow: Python in VS Code

Follow: Jupyter Notebook in VS Code

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EXERCISE

First, download the test image file: Click here

The image file must be in the same folder as the source file

Create a new source file as TU_OpenCVtest.py

Exercise 1

Run python code and submit the final output image

import numpy as np
import cv2 as cv
from matplotlib import pyplot as plt

# a simple numpy test
a = np.array([1,2,3])
print(a*a)

# Load image
img = cv.imread('testImage.jpg')

# Display Image
cv.namedWindow('source', cv.WINDOW_AUTOSIZE) 
cv.imshow('source',img)
cv.waitKey(0)

Exercise 2

Run python code and submit the final output image

import cv2 as cv

# Open the video camera no.0
cap = cv.VideoCapture(0)

# If not success, exit the program
if not cap.isOpened():
    print('Cannot open camera')

cv.namedWindow('MyVideo', cv.WINDOW_AUTOSIZE)

while True:
    # Read a new frame from video
    ret, frame = cap.read()

    # If not success, break loop
    if not ret:
        print('Cannot read frame')
        break

    cv.imshow('MyVideo', frame)

    if cv.waitKey(30) & 0xFF == 27:
        print('Press ESC to stop')
        break

cv.destroyAllWindows()
cap.release()