trellixvulnteam / opencvpractice_twol

OpenCV Project 🧾

• Final commit: 809a9bd9de472fccb14988920784b4e6711ca35f
• Project located within project folder
• Run Python script labeled main.py
• Images are in the images folder but feel free to use others, just make sure to put them within that folder
  • Use receipt images like receipt.png and receipt1.jpg for the my document scanner and text detector
  • Use qr code images like qr.png for my qr scanner

Independence + Curiosity 💖

I did not use histograms (chapter 7) in my project, so I went beyond in a few aspects.

• Added 3 extra components
  • documentScanner()
    • Used grayscale, edge detection, contours, perspective transform, and adaptive thresholding to scan a paper
    • Can incoporate web cam if desired, however I did not have one so I didn't do that
  • textDetector()
    • Used Pytesseract's library in order to outline text + return it to the command prompt
  • qrScanner()
    • Used OpenCV's built in QRCodeDetector() to return link to QR code uploaded

Chapters Included 📌

I commented where each is used in my code with the 📌 emoji for reference.

• 4.3: Accessing and Manipulating Pixels
• 5.1: Lines and Rectangles
• 6.1.3: Resizing
• 6.3: Bitwise Operations
• 6.6: Color Spaces
• 8.2: Gaussian Blurring
• 8.3: Median Blurring
• 9.2: Adaptive Thresholding
• 10.2: Canny Edge Detection
• 11.1: Counting Coins
• 11.2: Contours and OpenCV Version Caveats