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?
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