Unlock the Power of Visual Data Analysis: Computer Vision

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Welcome to our comprehensive Computer Vision course, designed to equip you with the skills to analyze and interpret visual data. This course covers the fundamentals of computer vision, including image processing, object detection, segmentation, and more.

Course Objectives

•  Understand the basics of computer vision and its applications
•  Learn image processing techniques using Python and OpenCV
•  Master object detection, segmentation, and tracking
•  Explore advanced topics in computer vision, including deep learning

Course Outline:

Module	Topics
Module 1: Image Enhancement	Introduction, Contrast Adjustment, Brightness Adjustment, Noise Reduction,...
Module 2: Image Filtering	Low-Pass Filters, High-Pass Filters, Band-Pass Filters,...
Module 3: Image Transformation	Rotation, Scaling, Translation, Flipping,...
Module 4: Image Segmentation	Thresholding, Edge detection, Contour detection,...
Module 5: Feature Extraction	Edge features, Corners, Blob detection, Ridge detection,...
Module 6: Object Recognition	Template matching, Feature matching, Object detection,...
Module 7: Image Restoration	Deblurring, Denoising, Dehazing,...
Module 8: Morphological Operations	Erosion, Dilation, Opening, Closing, Gradient,...
Module 9: Color Space Conversion	RGB to grayscale, RGB to YUV, RGB to HSV,...
Module 10: Image Compression	Lossless compression, Lossy compression, Image quantization, Transform coding,...

"The future of computer vision is not just about recognizing images, but understanding their meaning." - Fei-Fei Li"

Start your computer vision journey today! Explore the course modules below.

Module 1: Image Enhancement

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'''
Basic Hello World Script
'''
import cv2
import numpy as np

# Create a white image
img = np.full((200, 500, 3), (255, 255, 255), dtype=np.uint8)

# Add text to the image
cv2.putText(
    img=img,
    text="Hello, Computer Vision!",
    org=(50, 100),
    fontFace=cv2.FONT_HERSHEY_SIMPLEX,
    fontScale=1,
    color=(0, 0, 0),  # Black text color
    thickness=2
)

# Display the image
cv2.imshow("Hello World", img)
cv2.waitKey(0)
cv2.destroyAllWindows()
  
# To run this script:
# Install OpenCV: pip install opencv-python
# Save the script as hello_world.py
# Run the script: python hello_world.py
# This script creates a window displaying "Hello, Computer Vision!".
 

Copy Python Code

GitHub Link: