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A Beginner’s Guide to Computer Vision (CV) deep learning (DL)

What is Computer Vision?
Computer Vision (CV) enables machines to process and understand visual data.
Example: A camera recognizing a cat in a photo
Key Components for CV
1. Acquiring an Image — Capturing using cameras.
2. Processing the Image — Enhancing quality.
3. Extracting Features — Identifying objects, edges, and patterns.
4. Making Decisions — Detecting faces, counting people, etc.
Small Code (Python with OpenCV):
import cv2
img = cv2.imread('cat.jpg')
cv2.imshow('Cat Image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
Use in Retail: Detect products on shelves (e.g., Shopee sellers ensuring stock visibility).
End Notes: CV is the foundation for visual automation.
How to Remember: Think “CV = Computer Vision = Computers Seeing.”
How is it Related to AI?
