--- a
+++ b/Segmentation/utils.py
@@ -0,0 +1,79 @@
+import random
+import cv2
+import numpy as np
+
+def gaussian_noise(img, mean=0, sigma=0.03):
+    img = img.copy()
+    noise = np.random.normal(mean, sigma, img.shape)
+    mask_overflow_upper = img+noise >= 1.0
+    mask_overflow_lower = img+noise < 0
+    noise[mask_overflow_upper] = 1.0
+    noise[mask_overflow_lower] = 0
+    img += noise
+    return img
+
+def brightness(img, low, high):
+    value = random.uniform(low, high)
+    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
+    hsv = np.array(hsv, dtype = np.float64)
+    hsv[:,:,1] = hsv[:,:,1]*value
+    hsv[:,:,1][hsv[:,:,1]>255]  = 255
+    hsv[:,:,2] = hsv[:,:,2]*value 
+    hsv[:,:,2][hsv[:,:,2]>255]  = 255
+    hsv = np.array(hsv, dtype = np.uint8)
+    img = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
+    return img
+
+def fill(img, h, w):
+    img = img.astype('float32')
+    img = cv2.resize(img, (h, w), cv2.INTER_CUBIC)
+    return img
+def zoom(img, mask, value):
+    if value > 1 or value < 0:
+        print('Value for zoom should be less than 1 and greater than 0')
+        return img, mask
+    value = random.uniform(value, 1)
+    h, w = img.shape[:2]
+    h_taken = int(value*h)
+    w_taken = int(value*w)
+    h_start = random.randint(0, h-h_taken)
+    w_start = random.randint(0, w-w_taken)
+    img = img[h_start:h_start+h_taken, w_start:w_start+w_taken, :]
+    img = fill(img, h, w)
+    mask = mask[h_start:h_start+h_taken, w_start:w_start+w_taken, :]
+    mask = fill(mask, h, w)
+    return img, mask
+
+def vertical_shift(img, mask, ratio=0.0):
+    if ratio > 1 or ratio < 0:
+        print('Value should be less than 1 and greater than 0')
+        return img, mask
+    ratio = random.uniform(-ratio, ratio)
+    h, w = img.shape[:2]
+    to_shift = h*ratio
+    if ratio > 0:
+        img = img[:, :int(w-to_shift), :]
+        mask = mask[:, :int(w-to_shift), :]
+    if ratio < 0:
+        img = img[:, int(-1*to_shift):, :]
+        mask = mask[:, int(-1*to_shift):, :]
+    img = fill(img, h, w)
+    mask = fill(mask, h, w)
+    return img, mask
+
+def horizontal_shift(img, mask, ratio=0.0):
+    if ratio > 1 or ratio < 0:
+        print('Value should be less than 1 and greater than 0')
+        return img, mask
+    ratio = random.uniform(-ratio, ratio)
+    h, w = img.shape[:2]
+    to_shift = w*ratio
+    if ratio > 0:
+        img = img[:, :int(w-to_shift), :]
+        mask = mask[:, :int(w-to_shift), :]
+    if ratio < 0:
+        img = img[:, int(-1*to_shift):, :]
+        mask = mask[:, int(-1*to_shift):, :]
+    img = fill(img, h, w)
+    mask = fill(mask, h, w)
+    return img,mask
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