How to convert RGB PIL image to numpy array with 3 channels?

Question

I am loading image with the following code

image = PIL.Image.open(file_path) image = np.array(image) 

It works, but the size of array appears to be (X, X, 4), i.e. it has 4 layers. I would like normal RGB layers. Is it possible?

UPDATE

I found that just removing 4th channel is unsufficcient. The following code was required:

image = PIL.Image.open(file_path) image.thumbnail(resample_size) image = image.convert("RGB") image = np.asarray(image, dtype=np.float32) / 255 image = image[:, :, :3] 

Why?

Answer 1

The fourth layer is the transparency value for image formats that support transparency, like PNG. If you remove the 4th value it'll be a correct RGB image without transparency.

EDIT:

Example:

>>> import PIL.Image >>> image = PIL.Image.open('../test.png') >>> import numpy as np >>> image = np.array(image) >>> image.shape (381, 538, 4) >>> image[...,:3].shape (381, 538, 3)