diff --git a/python/302_Windokun.py b/python/302_Windokun.py
new file mode 100644
index 000000000..97a575744
--- /dev/null
+++ b/python/302_Windokun.py
@@ -0,0 +1,77 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Fri Nov 04 20:46:49 2016
+@author: Jare_2
+
+Code adapted from https://github.com/aleju/ImageAugmenter
+Requires the following per the developer:
+    There is no pip-installer or setup.py for this class. 
+    Simply copy ImageAugmenter.py to your project. Then import it, 
+    create a new ImageAugmenter object and use ImageAugmenter.augment_batch()
+    to augment an array of images. The function expects a numpy array
+    (of dtype numpy.uint8 with values between 0 and 255) of images. 
+    The expected shape of that array is any of the following:
+"""
+
+from ImageAugmenter import ImageAugmenter
+from scipy import misc
+import numpy as np
+import os
+
+
+
+
+def get_imlist(path):
+    # Returns a list of filenames for all jpg images in a directory. 
+   
+    return ([os.path.join(path, f) for f in os.listdir(path)])
+
+
+
+def augmentImage(imageFile):
+    
+    image = misc.imread(imageFile)
+    height = image.shape[0]
+    width = image.shape[1]
+    augmenter = ImageAugmenter(width, height, # width and height of the image (must be the same for all images in the batch)
+                           hflip=True,    # flip horizontally with 50% probability
+                           vflip=False,    # flip vertically with 50% probability
+                           scale_to_percent=1.1, # scale the image to 70%-130% of its original size
+                           scale_axis_equally=True, # allow the axis to be scaled unequally (e.g. x more than y)
+                           rotation_deg=10,    # rotate between -25 and +25 degrees
+                           shear_deg=10,       # shear between -10 and +10 degrees
+                           translation_x_px=5, # translate between -5 and +5 px on the x-axis
+                           translation_y_px=5  # translate between -5 and +5 px on the y-axis
+                           )
+                           
+    augmented_images = augmenter.augment_batch(np.array([image], dtype=np.uint8))
+    #plt.imshow(augmented_images.squeeze(), cmap="gray")
+    return (augmented_images)
+                           
+
+
+
+def imgAugmenter (image_directory, save_directory, num_augments):
+      
+    filelist = get_imlist(image_directory)
+    filelist = filelist
+    
+    for f in  filelist[0:10]: 
+            (filepath,filename) = os.path.split(f)
+            for i in range(0, num_augments):
+               aug_file = augmentImage(f) 
+               savefilename = os.path.join(save_directory, 'aug_' + str(i) + '_' + filename)
+               misc.toimage(aug_file.squeeze(), cmin=0.0, cmax=1.0).save(savefilename)
+               print ("file save as......", savefilename)
+            
+# Example of use
+    
+image_directory = r'C:\Users\Jare_2\OneDrive\WorkDocs\CUNY\622\Week 10\code\Resize'
+save_directory = r'C:\Users\Jare_2\OneDrive\WorkDocs\CUNY\622\Week 10\code\Augmented_images'
+
+imgAugmenter (image_directory, save_directory, 10)                 
+
+
+
+
+