diff --git a/YOLO_example/yad2k/models/keras_yolo.py b/YOLO_example/yad2k/models/keras_yolo.py
diff --git a/YOLO_example/yad2k/utils/__init__.py b/YOLO_example/yad2k/utils/__init__.py
@@ -0,0 +1 @@
+from .utils import *
diff --git a/YOLO_example/yad2k/utils/utils.py b/YOLO_example/yad2k/utils/utils.py
@@ -0,0 +1,15 @@
+"""Miscellaneous utility functions."""
+
+from functools import reduce
+
+
+def compose(*funcs):
+    """Compose arbitrarily many functions, evaluated left to right.
+
+    Reference: https://mathieularose.com/function-composition-in-python/
+    """
+    # return lambda x: reduce(lambda v, f: f(v), funcs, x)
+    if funcs:
+        return reduce(lambda f, g: lambda *a, **kw: g(f(*a, **kw)), funcs)
+    else:
+        raise ValueError('Composition of empty sequence not supported.')
diff --git a/YOLO_example/yolo_utils.py b/YOLO_example/yolo_utils.py
@@ -0,0 +1,82 @@
+import colorsys
+import imghdr
+import os
+import random
+from keras import backend as K
+
+import numpy as np
+from PIL import Image, ImageDraw, ImageFont
+
+def read_classes(classes_path):
+    with open(classes_path) as f:
+        class_names = f.readlines()
+    class_names = [c.strip() for c in class_names]
+    return class_names
+
+def read_anchors(anchors_path):
+    with open(anchors_path) as f:
+        anchors = f.readline()
+        anchors = [float(x) for x in anchors.split(',')]
+        anchors = np.array(anchors).reshape(-1, 2)
+    return anchors
+
+def generate_colors(class_names):
+    hsv_tuples = [(x / len(class_names), 1., 1.) for x in range(len(class_names))]
+    colors = list(map(lambda x: colorsys.hsv_to_rgb(*x), hsv_tuples))
+    colors = list(map(lambda x: (int(x[0] * 255), int(x[1] * 255), int(x[2] * 255)), colors))
+    random.seed(10101)  # Fixed seed for consistent colors across runs.
+    random.shuffle(colors)  # Shuffle colors to decorrelate adjacent classes.
+    random.seed(None)  # Reset seed to default.
+    return colors
+
+def scale_boxes(boxes, image_shape):
+    """ Scales the predicted boxes in order to be drawable on the image"""
+    height = image_shape[0]
+    width = image_shape[1]
+    image_dims = K.stack([height, width, height, width])
+    image_dims = K.reshape(image_dims, [1, 4])
+    boxes = boxes * image_dims
+    return boxes
+
+def preprocess_image(img_path, model_image_size):
+    image_type = imghdr.what(img_path)
+    image = Image.open(img_path)
+    resized_image = image.resize(tuple(reversed(model_image_size)), Image.BICUBIC)
+    image_data = np.array(resized_image, dtype='float32')
+    image_data /= 255.
+    image_data = np.expand_dims(image_data, 0)  # Add batch dimension.
+    return image, image_data
+
+def draw_boxes(image, out_scores, out_boxes, out_classes, class_names, colors):
+
+    font = ImageFont.truetype(font='font/FiraMono-Medium.otf',size=np.floor(3e-2 * image.size[1] + 0.5).astype('int32'))
+    thickness = (image.size[0] + image.size[1]) // 300
+
+    for i, c in reversed(list(enumerate(out_classes))):
+        predicted_class = class_names[c]
+        box = out_boxes[i]
+        score = out_scores[i]
+
+        label = '{} {:.2f}'.format(predicted_class, score)
+
+        draw = ImageDraw.Draw(image)
+        label_size = draw.textsize(label, font)
+
+        top, left, bottom, right = box
+        top = max(0, np.floor(top + 0.5).astype('int32'))
+        left = max(0, np.floor(left + 0.5).astype('int32'))
+        bottom = min(image.size[1], np.floor(bottom + 0.5).astype('int32'))
+        right = min(image.size[0], np.floor(right + 0.5).astype('int32'))
+        print(label, (left, top), (right, bottom))
+
+        if top - label_size[1] >= 0:
+            text_origin = np.array([left, top - label_size[1]])
+        else:
+            text_origin = np.array([left, top + 1])
+
+        # My kingdom for a good redistributable image drawing library.
+        for i in range(thickness):
+            draw.rectangle([left + i, top + i, right - i, bottom - i], outline=colors[c])
+        draw.rectangle([tuple(text_origin), tuple(text_origin + label_size)], fill=colors[c])
+        draw.text(text_origin, label, fill=(0, 0, 0), font=font)
+        del draw