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

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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?

rgb python-imaging-library numpy python
2 Answers

As mentioned by other answers, some images are saved with a 4th channel. To load image with just RGB channels without using numpy at all:

from PIL import Image
image = Image.open('../test.png').convert('RGB')
user_39577940
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