Getting Started with Python OpenCV in a JupyterLab Notebook

Published: 25 March 2020
on channel: AtoZ Programming Tutorials
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How to start with Python OpenCV in a JupyterLab Notebook.

If you want see how to install Python and OpenCV on various OS check these videos:
for Windows    • Install OpenCV with Python 3 on Windows  
for macOS    • Install OpenCV for Python on macOS Catalina  
for Ubuntu Linux    • Install OpenCV 4 for Python on Ubuntu Linux  

Create and activate a venv on Windows:
python -m venv work
work\Scripts\activate

Create and activate a venv on Linux and macOS:
python3 -m venv work
source work/bin/activate

Install libraries:
pip install opencv-python-headless
pip install matplotlib
pip install jupyterlab

Start JupyterLab:
jupyter lab

Code used in the video (change the image name to match the image you have on your computer):
import cv2
from matplotlib import pyplot as plt

print(cv2.__version__)

img = cv2.imread("clouds.jpg")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

plt.imshow(gray, cmap = 'gray')
plt.title("Over the Clouds - gray")

plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
plt.title("Over the Clouds - original color image")

f = plt.figure(figsize=(15, 15))
f.add_subplot(1, 2, 1)
plt.imshow(gray, cmap = 'gray')
plt.title("Over the Clouds - gray")

f.add_subplot(1, 2, 2)
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
plt.title("Over the Clounds - original color image")


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