cv2.findcontours python - Search
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  1. Copilot Answer
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    The cv2.findContours function in OpenCV is used to detect contours in a binary image. Contours are useful for shape analysis and object detection.

    Example

    import cv2
    import numpy as np

    # Load the image
    image = cv2.imread('shapes.jpg')
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

    # Apply thresholding
    ret, thresh = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)

    # Find contours
    contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

    # Draw contours
    cv2.drawContours(image, contours, -1, (0, 255, 0), 3)

    # Display the result
    cv2.imshow('Contours', image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    In this example:

    1. Load the Image: The image is loaded and converted to grayscale.

    2. Thresholding: A binary threshold is applied to the grayscale image.

    3. Find Contours: The cv2.findContours function detects contours in the binary image.

    4. Draw Contours: The detected contours are drawn on the original image.

    Important Considerations

    • Contour Retrieval Modes: The second argument in cv2.findContours specifies the contour retrieval mode. Common modes include cv2.RETR_TREE, cv2.RETR_EXTERNAL, etc.

    • Contour Approximation Methods: The third argument specifies the contour approximation method. cv2.CHAIN_APPROX_SIMPLE compresses horizontal, vertical, and diagonal segments and leaves only their end points.

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    Find and Draw Contours using OpenCV | Python - GeeksforGeeks
    GeeksForGeeks
    How to use CV2 find contours() in Python?
    Here is a step-by-step guide: Load the image using cv2.imread(). Convert the image to grayscale using cv2.cvtColor(). Apply a binary threshold or edge detection like cv2.Canny (). Use cv2.findContours() to detect contours. Below is an example of how to use cv2.findContours() in Python: import numpy as np # Load the image
    pytutorial.com

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