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#!/usr/bin/env python
import numpy as np
import sys, os
import getopt
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
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