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-rwxr-xr-xutil/image-to-array35
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+#!/usr/bin/env python
+import numpy as np
+import sys, os
+
+from PIL import Image;
+
+def jpg_image_to_array(image_path):
+ """
+ Loads JPEG image into 3D Numpy array of shape
+ (width, height, channels)
+ """
+ with Image.open(image_path) as image:
+ im_arr = np.frombuffer(image.tobytes(), dtype=np.uint8)
+ # im_arr = im_arr.reshape((image.size[1], image.size[0], 3))
+ return im_arr
+
+def main(files):
+ for i in range(0, len(files)):
+ inputfile = files[i]
+ print(inputfile);
+
+ if not os.path.exists(inputfile):
+ sys.exit('ERROR: File %s was not found!' % inputfile)
+
+ print(jpg_image_to_array(inputfile))
+
+if __name__ == "__main__":
+ if len(sys.argv) > 1:
+ main(sys.argv[1:])
+ else:
+ print("%s: You must specify files to convert to vectors" % sys.argv[0])
+
+# def compute_average_vector
+
+# def compute_covariance_of_normalised_faces