Add training script with variable M

1 files changed, 0 insertions, 35 deletions

diff --git a/image-to-array b/image-to-array
deleted file mode 100755
index 72abc5c..0000000
--- a/image-to-array
+++ /dev/null
@@ -1,35 +0,0 @@
-#!/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