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Image Processing Pipeline

When scraping images, you often need to pre-process them before analysis or storage.

OpenCV Basics​

OpenCV is the standard for computer vision.

python
import cv2

# Read image
img = cv2.imread('screenshot.png')

# Convert to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# Find contours (e.g., to isolate a document)
contours, _ = cv2.findContours(gray, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

Bounding Boxes & Cropping​

Use ML models (like YOLO or Grounding DINO) to detect objects, then use OpenCV to crop those bounding boxes and save them as individual files.