open image in numpy
image = PIL.Image.open(pathToImage)
frame = numpy.asarray(image)
open image in numpy
image = PIL.Image.open(pathToImage)
frame = numpy.asarray(image)
display np array as image
from PIL import Image
import numpy as np
w, h = 512, 512
data = np.zeros((h, w, 3), dtype=np.uint8)
data[0:256, 0:256] = [255, 0, 0] # red patch in upper left
img = Image.fromarray(data, 'RGB')
img.save('my.png')
img.show()
convert plt image to numpy
canvas = pyplot.gca().figure.canvas
canvas.draw()
data = numpy.frombuffer(canvas.tostring_rgb(), dtype=numpy.uint8)
image = data.reshape(canvas.get_width_height()[::-1] + (3,))
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