+

filters.py

@@ -116,30 +116,17 @@ def pixelize(image, pixel_size: int = 10):
     return pixelized_image
 
 
-@registry.register("Sketch Effect", defaults={
-    "blur_kernel_size": 21,
-}, min_vals={
-    "blur_kernel_size": 1,
-}, max_vals={
-    "blur_kernel_size": 51,
-}, step_vals={
-    "blur_kernel_size": 2,
-})
-def sketch_effect(image, blur_kernel_size: int = 21):
+@registry.register("Sketch Effect")
+def sketch_effect(image):
     """
     ## Apply a sketch effect to the image.
 
     **Args:**
     * `image` (numpy.ndarray): Input image (BGR or grayscale)
-    * `blur_kernel_size` (int): Size of the Gaussian blur kernel (must be odd)
 
     **Returns:**
     * `numpy.ndarray`: Sketch effect applied image
     """
-    # Ensure the kernel size is odd
-    if blur_kernel_size % 2 == 0:
-        blur_kernel_size += 1
-
     # Convert the image to grayscale
     if len(image.shape) == 3:
         gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
@@ -150,8 +137,7 @@ def sketch_effect(image, blur_kernel_size: int = 21):
     inverted_gray = cv2.bitwise_not(gray)
 
     # Apply Gaussian blur to the inverted image
-    blurred = cv2.GaussianBlur(
-        inverted_gray, (blur_kernel_size, blur_kernel_size), 0)
+    blurred = cv2.GaussianBlur(inverted_gray, (21, 21), 0)  # Fixed kernel size
 
     # Blend the grayscale image with the blurred inverted image
     sketch = cv2.divide(gray, 255 - blurred, scale=256)