Python Konturları Bulma Modülü (Python Finding Contours Module)
Python Konturları Bulma Modülü (Python Finding Contours Module)
import cv2 # Importing the OpenCV library for computer vision tasks
import cvzone # Importing the cvzone library for additional functionalities
import numpy as np # Importing NumPy library for numerical operations
# Download an image containing shapes from a given URL
imgShapes = cvzone.downloadImageFromUrl(
url='https://codeuo.com.tr/shapes.png?raw=true')
# Perform edge detection using the Canny algorithm
imgCanny = cv2.Canny(imgShapes, 50, 150)
# Dilate the edges to strengthen the detected contours
imgDilated = cv2.dilate(imgCanny, np.ones((5, 5), np.uint8), iterations=1)
# Find contours in the image without any corner filtering
imgContours, conFound = cvzone.findContours(
imgShapes, imgDilated, minArea=1000, sort=True,
filter=None, drawCon=True, c=(255, 0, 0), ct=(255, 0, 255),
retrType=cv2.RETR_EXTERNAL, approxType=cv2.CHAIN_APPROX_NONE)
# Find contours in the image and filter them based on corner points (either 3 or 4 corners)
imgContoursFiltered, conFoundFiltered = cvzone.findContours(
imgShapes, imgDilated, minArea=1000, sort=True,
filter=[3, 4], drawCon=True, c=(255, 0, 0), ct=(255, 0, 255),
retrType=cv2.RETR_EXTERNAL, approxType=cv2.CHAIN_APPROX_NONE)
# Display the image with all found contours
cv2.imshow("imgContours", imgContours)
# Display the image with filtered contours (either 3 or 4 corners)
cv2.imshow("imgContoursFiltered", imgContoursFiltered)
# Wait until a key is pressed to close the windows
cv2.waitKey(0)
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