Applying pre-commit on the files

Author: Lopes

25_libraries_image_classification.ipynb

@@ -523,16 +523,9 @@
     "%%ipytest\n",
     "\n",
     "def solution_scale_image(img, scale_factor: float):\n",
-    "    # Get the current dimensions\n",
-    "    height, width = img.shape[:2]\n",
-    "\n",
-    "    # Calculate the new dimensions\n",
-    "    new_width = int(width * scale_factor)\n",
-    "    new_height = int(height * scale_factor)\n",
-    "    new_size = (new_width, new_height)\n",
-    "\n",
-    "    # Resize the image\n",
-    "    return cv2.resize(img, new_size)"
+    "    # Start your code here\n",
+    "    return\n",
+    "    # End your code here"
    ]
   },
   {
@@ -567,8 +560,9 @@
    "source": [
     "%%ipytest\n",
     "def solution_crop_image(img, x: int, y: int, width: int, height: int):\n",
-    "    x1, x2, y1, y2 = x, x+width, y, y+height\n",
-    "    return img[y:y + height, x:x + width]"
+    "    # Start your code here\n",
+    "    return\n",
+    "    # End your code here"
    ]
   },
   {
@@ -603,7 +597,9 @@
    "source": [
     "%%ipytest\n",
     "def solution_horizontal_flip_image(img):\n",
-    "    return cv2.flip(img, 1)"
+    "    # Start your code here\n",
+    "    return\n",
+    "    # End your code here"
    ]
   },
   {
@@ -638,7 +634,9 @@
    "source": [
     "%%ipytest\n",
     "def solution_vertical_flip_image(img):\n",
-    "    return cv2.flip(img, 0)"
+    "    # Start your code here\n",
+    "    return\n",
+    "    # End your code here"
    ]
   },
   {
@@ -673,22 +671,9 @@
    "source": [
     "%%ipytest\n",
     "def solution_rotate_image(img, angle: float):\n",
-    "    (h, w) = img.shape[:2]\n",
-    "    center = (w // 2, h // 2)\n",
-    "    M = cv2.getRotationMatrix2D(center, angle, scale=1.0)\n",
-    "    \n",
-    "    # Compute new bounding dimensions\n",
-    "    cos = np.abs(M[0, 0])\n",
-    "    sin = np.abs(M[0, 1])\n",
-    "    new_w = int((h * sin) + (w * cos))\n",
-    "    new_h = int((h * cos) + (w * sin))\n",
-    "\n",
-    "    # Adjust rotation matrix for translation\n",
-    "    M[0, 2] += (new_w / 2) - center[0]\n",
-    "    M[1, 2] += (new_h / 2) - center[1]\n",
-    "\n",
-    "    # Perform rotation with expanded canvas\n",
-    "    return cv2.warpAffine(img, M, (new_w, new_h))"
+    "    # Start your code here\n",
+    "    return\n",
+    "    # End your code here"
    ]
   },
   {
@@ -736,7 +721,9 @@
    "source": [
     "%%ipytest\n",
     "def solution_average_filter(img, kernel_size = (5, 5)):\n",
-    "    return cv2.blur(img, kernel_size)"
+    "    # Start your code here\n",
+    "    return\n",
+    "    # End your code here"
    ]
   },
   {
@@ -771,7 +758,9 @@
    "source": [
     "%%ipytest\n",
     "def solution_median_filter(img, ksize):\n",
-    "    return cv2.medianBlur(img, ksize)"
+    "    # Start your code here\n",
+    "    return\n",
+    "    # End your code here"
    ]
   },
   {
@@ -806,7 +795,9 @@
    "source": [
     "%%ipytest\n",
     "def solution_gaussian_filter(img, kernel_size = (5, 5), sigma = 0):\n",
-    "    return cv2.GaussianBlur(img, kernel_size, sigma)"
+    "    # Start your code here\n",
+    "    return\n",
+    "    # End your code here"
    ]
   },
   {
@@ -854,7 +845,9 @@
    "source": [
     "%%ipytest\n",
     "def solution_adjust_brightness(img, brightness_value):\n",
-    "    return cv2.convertScaleAbs(img, beta=brightness_value)"
+    "    # Start your code here\n",
+    "    return\n",
+    "    # End your code here"
    ]
   },
   {
@@ -892,7 +885,9 @@
    "source": [
     "%%ipytest\n",
     "def solution_adjust_contrast(img, contrast_value):\n",
-    "    return cv2.convertScaleAbs(img, alpha = contrast_value)"
+    "    # Start your code here\n",
+    "    return\n",
+    "    # End your code here"
    ]
   },
   {
@@ -930,20 +925,9 @@
    "source": [
     "%%ipytest\n",
     "def solution_adjust_saturation(img, saturation_factor):\n",
-    "    # Convert the image from BGR to HSV\n",
-    "    image_hsv = cv2.cvtColor(img, cv2.COLOR_RGB2HSV)\n",
-    "\n",
-    "    # Split the HSV image into Hue, Saturation, and Value channels\n",
-    "    hue, saturation, value = cv2.split(image_hsv)\n",
-    "\n",
-    "    # Adjust the saturation channel (Ensure it stays within valid range)\n",
-    "    saturation = np.clip(saturation * saturation_factor, 0, 255)\n",
-    "\n",
-    "    # Merge the channels back\n",
-    "    image_hsv_adjusted = cv2.merge([hue, saturation.astype(np.uint8), value])\n",
-    "\n",
-    "    # Convert the adjusted image back to BGR\n",
-    "    return cv2.cvtColor(image_hsv_adjusted, cv2.COLOR_HSV2RGB)"
+    "    # Start your code here\n",
+    "    return\n",
+    "    # End your code here"
    ]
   },
   {

tutorial/tests/test_25_libraries_image_classification.py

@@ -26,7 +26,7 @@ def test_scale_image(scale_factor, function_to_test):
 
 def reference_crop_image(image, x: int, y: int, width: int, height: int):
     x1, x2, y1, y2 = x, x + width, y, y + height
-    return image[y : y + height, x : x + width]
+    return image[y1:y2, x1:x2]
 
 
 @pytest.mark.parametrize(
@@ -64,20 +64,20 @@ def test_vertical_flip_image(function_to_test):
 def reference_rotate_image(image, angle: float):
     (h, w) = image.shape[:2]
     center = (w // 2, h // 2)
-    M = cv2.getRotationMatrix2D(center, angle, scale=1.0)
+    mat = cv2.getRotationMatrix2D(center, angle, scale=1.0)
 
     # Compute new bounding dimensions
-    cos = np.abs(M[0, 0])
-    sin = np.abs(M[0, 1])
+    cos = np.abs(mat[0, 0])
+    sin = np.abs(mat[0, 1])
     new_w = int((h * sin) + (w * cos))
     new_h = int((h * cos) + (w * sin))
 
     # Adjust rotation matrix for translation
-    M[0, 2] += (new_w / 2) - center[0]
-    M[1, 2] += (new_h / 2) - center[1]
+    mat[0, 2] += (new_w / 2) - center[0]
+    mat[1, 2] += (new_h / 2) - center[1]
 
     # Perform rotation with expanded canvas
-    return cv2.warpAffine(image, M, (new_w, new_h))
+    return cv2.warpAffine(image, mat, (new_w, new_h))
 
 
 @pytest.mark.parametrize("angle", [5, 10, 20, 30])