Write the function get_is_row_inky that finds the rows with ink pixels and takes following the arguments:...
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Write the function get_is_row_inky that finds the rows with ink pixels and takes following the arguments: • images: A numpy array with the shape (N,height,width), where N is the number of samples and could be anything. height is each individual image's height in pixels (i.e. number of rows in each image). ▪ and width is each individual image's width in pixels (i.e., number of columns in each image). • Do not assume anything about images 's dtype or the number of samples or the height or the width and returns the following: • is_row_inky: A numpy array with the shape (N, height), and the bool dtype. is_row_inky[i,j] should be True if any of the pixels in the j th row of the i th image was an ink pixel, and False otherwise. . def get_is_row_inky (images): www Finds the rows with ink pixels. www Parameters: images (np,array): A numpy array with the shape (N, height, width) Returns: is_row_inky (np.array): A numpy array with the shape (N, height), and the bool dtype. WRITE CODE HERE raise NotImplementedError return is_row_inky # This cell is left empty as a seperator. You can leave this cell as it is, and you should not delete it. (orig_image, ref_image, test_im, success_is_row_inky) assert success_is_row_inky = show_test_cases (lambda x: np.expand_dims (get_is_row_inky(x), axis=2), task_id='2_V')
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Microsoft Excel Data Analysis And Business Modeling
ISBN: 9780137613663
7th Edition
Authors: Wayne Winston
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