The next code block shows how to use the imread() function from matplotlib.image to read an image in a floating-point numpy ndarray. The pixel values are represented as real values between 0 and 1:
im = mpimg.imread("../images/hill.png") # read the image from disk as a numpy ndarrayprint(im.shape, im.dtype, type(im)) # this image contains an α channel, hence num_channels= 4# (960, 1280, 4) float32 <class 'numpy.ndarray'>plt.figure(figsize=(10,10))plt.imshow(im) # display the imageplt.axis('off')plt.show()
The following figure shows the output of the previous code:
The next code snippet ...
