Menu
I load images with numpy/scikit. I know that all images are 200x200 pixels.
When the images are loaded, I notice some have an alpha channel, and therefore have shape (200, 200, 4) instead of (200, 200, 3) which I expect.
Is there a way to delete that last value, discarding the alpha channel and get all images to a nice (200, 200, 3) shape?
449
To remove image alpha channel, we can use ImageMagick application.
fromarray() Function to Save a NumPy Array as an Image. The fromarray() function is used to create an image memory from an object which exports the array. We can then save this image memory to our desired location by providing the required path and the file name.
It is used in the domain of linear algebra, Fourier transforms, matrices, and the data science field. which is used. NumPy arrays are way faster than Python Lists. You must have known about Image processing Libraries such as OpenCV, Python Image Library(PIL), Scikit-Image, and many more.
Just slice the array to get the first three entries of the last dimension:
image_without_alpha = image[:,:,:3] scikit-image builtin:
from skimage.color import rgba2rgb from skimage import data img_rgba = data.logo() img_rgb = rgba2rgb(img_rgba) https://scikit-image.org/docs/dev/user_guide/transforming_image_data.html#conversion-from-rgba-to-rgb-removing-alpha-channel-through-alpha-blending
https://scikit-image.org/docs/dev/api/skimage.color.html#rgba2rgb
37
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
