img.shape[:2

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stackoverflow.com

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Feb 1, 2021 · The shape property of the img object evidently is a list which contains some image data, the first two elements of which are here being copied into variables height and width.

docs.opencv.org

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2 days ago · Accessing Image Properties Image properties include number of rows, columns, and channels; type of image data; number of pixels; etc. The shape of an image is accessed by img.shape. It returns a tuple of ...

note.nkmk.me

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Apr 29, 2025 · This article explains how to get the image size (width and height) in Python using OpenCV and Pillow (PIL). You can obtain the image size as a tuple using the shape attribute of ndarray in OpenCV and ...

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Thanks, I think what's a bit confusing is that the image (should?) only have 2 dimensions, so why not just use (row, col) = image.shape? Maybe just safer to force the first 2 dimensions using [:2] just in case extra d...

www.tutorialspoint.com

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OpenCV reads the image data in a NumPy array. The shape () method of this ndarray object reveals image properties such as dimensions and channels. The command to use the shape () method is as follows − >>> img = cv.im...

www.geeksforgeeks.org

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Jul 23, 2025 · We unpack these as a, b = img.size. 3. Using ImageMagick's identify ImageMagickis an external tool commonly used for fast image processing via command line. The identify command can quickly return an im...

medium.com

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Dec 20, 2023 · plt.axis('off') plt.show() mpl_imshow(img) See the shape of numpy array that corresponds to your image print(img.shape) #print the entire image array print(img) Reading an image from Internet URL

www.askpython.com

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Oct 20, 2022 · In order to get the size of the image ndarray.shape is used where ndarray is the image read using imread function. The shape returns a tuple that has 3 values – height, width, and the number of channels...

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In this OpenCV Tutorial, we will learn how to get image size in OpenCV Python using NumPy Array shape property, with an example.

www.geeksforgeeks.org

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Jul 23, 2025 · Read the image, convert it to grayscale and apply binary thresholding to prepare for shape detection. cv2.findContours () detect shape boundaries in the thresholded image. Loop through contours and use ...