#28 adding numpy support example scripts

examples/numpy/LGM_numpy_testing.py

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+import gmic
+import PIL
+import PIL.Image
+import numpy
+from numpy import asarray, array_equal
+from matplotlib import pyplot
+
+l = []
+gmic.run("sp duck", l)
+gmic.run("display", l)
+
+ll = l[0].to_numpy_array(interleave=True, astype=numpy.uint8, squeeze_shape=True)
+print(ll.shape)
+print(ll.dtype) 
+
+pyplot.imshow(ll)
+pyplot.show()

examples/numpy/numpy_testing.py

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+# TEST 1: numpy(interleaved)->pyplot_display(interleaved)->gmic_from_nparray(deinterleaved)->gmic_display(deinterleaved)
+import gmic
+import PIL
+import PIL.Image
+import numpy
+from numpy import asarray, array_equal
+from matplotlib import pyplot
+
+gmic.run("sp duck output image.png")
+i = PIL.Image.open('image.png') # Lena sample
+ii = asarray(i)
+print(ii.shape) #(512, 512, 3)
+print(ii.dtype) #uint8
+
+l = []
+gmic.run("sp duck", l)
+ll = l[0].to_numpy_array(interleave=True, astype=numpy.uint8, squeeze_shape=True)
+array_equal(ll,ii) # True
+print(ll.shape) #(512, 512, 3)
+print(ll.dtype) #uint8
+
+pyplot.imshow(ll)
+pyplot.show() # Lena in good colors, dimensions and orientation
+
+pyplot.imshow(ii)
+pyplot.show() # Lena in good colors, dimensions and orientation
+
+j = gmic.GmicImage.from_numpy_array(ll, deinterleave=True)
+gmic.run("display", j) # Lena in good colors, dimensions and orientation
+"""
+[gmic]-1./ Display image [0] = '[unnamed]', from point (256,256,0).
+[0] = '[unnamed]':
+ size = (512,512,1,3) [3072 Kio of floats].
+ data = (225,225,223,223,225,225,225,223,225,223,223,223,(...),78,78,78,77,91,80,79,89,77,79,79,82).
+ min = 8, max = 251, mean = 128.241, std = 58.9512, coords_min = (457,60,0,1), coords_max = (425,20,0,0).
+"""
+
+jj = gmic.GmicImage.from_numpy_array(ii, deinterleave=True)
+gmic.run("display", jj) # Lena in good colors, dimensions and orientation
+"""
+[gmic]-1./ Display image [0] = '[unnamed]', from point (256,256,0).
+[0] = '[unnamed]':
+ size = (512,512,1,3) [3072 Kio of floats].
+ data = (225,225,223,223,225,225,225,223,225,223,223,223,(...),78,78,78,77,91,80,79,89,77,79,79,82).
+ min = 8, max = 251, mean = 128.241, std = 58.9512, coords_min = (457,60,0,1), coords_max = (425,20,0,0).
+"""

examples/numpy/numpy_testing2.py

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+# TEST 2: numpy(deinterleaved)->gmic_from_nparray(deinterleaved)->gmic_display(deinterleaved)
+import gmic
+import PIL
+import PIL.Image
+from numpy import asarray, array_equal
+
+gmic.run("sp lena output image.png")
+i = PIL.Image.open('image.png')
+ii = asarray(i)
+print(ii.shape) # (512, 512, 3)
+print(ii.dtype) # uint8
+
+l = []
+gmic.run("sp lena", l)
+ll = l[0].to_numpy_array(interleave=False, astype=int, squeeze_shape=True) # default astype=float32, default squeeze_shape=True
+print(ll.shape) # (512, 512, 3)
+print(ll.dtype) # int64
+array_equal(ll,ii) # False; uint8 vs. int64 match but deinterleave vs interleave unmatch
+
+j = gmic.GmicImage.from_numpy_array(ll, deinterleave=False)
+gmic.run("display", j) # Lena in good orientation, color, size
+"""
+[gmic]-1./ Display image [0] = '[unnamed]', from point (256,256,0).
+[0] = '[unnamed]':
+ size = (512,512,1,3) [3072 Kio of floats].
+ data = (225,225,223,223,225,225,225,223,225,223,223,223,(...),78,78,78,77,91,80,79,89,77,79,79,82).
+ min = 8, max = 251, mean = 128.241, std = 58.9512, coords_min = (457,60,0,1), coords_max = (425,20,0,0).
+"""
+
+jj = gmic.GmicImage.from_numpy_array(ii, deinterleave=True)
+gmic.run("display", jj) # Lena in good orientation, color, size
+"""
+[gmic]-1./ Display image [0] = '[unnamed]', from point (256,256,0).
+[0] = '[unnamed]':
+ size = (512,512,1,3) [3072 Kio of floats].
+ data = (225,225,223,223,225,225,225,223,225,223,223,223,(...),78,78,78,77,91,80,79,89,77,79,79,82).
+ min = 8, max = 251, mean = 128.241, std = 58.9512, coords_min = (457,60,0,1), coords_max = (425,20,0,0).
+"""