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I get the error from below, even if I use the test function from your test file. My input is an image, which looks like the following: img = np.array(img, dtype=float) filtered_img = anisotropic_diffusion(img)
The same error I get for: arr = np.random.uniform(size=(64,64)) filtered_img = anisotropic_diffusion(arr)
What am I doing wrong here?
The text was updated successfully, but these errors were encountered:
I get the error from below, even if I use the test function from your test file. My input is an image, which looks like the following:
![error](https://private-user-images.githubusercontent.com/42147654/241709222-017b7aa6-4ea3-4d51-80c1-79507fd5049d.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.KoLrhNY4LmWyC0GU4eQhluaxs4CAAvM1zEkyULEbNkI)
img = np.array(img, dtype=float) filtered_img = anisotropic_diffusion(img)
The same error I get for:
arr = np.random.uniform(size=(64,64)) filtered_img = anisotropic_diffusion(arr)
What am I doing wrong here?
The text was updated successfully, but these errors were encountered: