Update smoothening
Browse files
app.py
CHANGED
|
@@ -184,6 +184,10 @@ def smooth_and_denoise(mask):
|
|
| 184 |
:param mask: The binary mask of the signature.
|
| 185 |
:return: Processed mask.
|
| 186 |
"""
|
|
|
|
|
|
|
|
|
|
|
|
|
| 187 |
# Apply Gaussian Blurring for smoothing
|
| 188 |
smoothed_mask = cv2.GaussianBlur(mask, (5, 5), 0)
|
| 189 |
|
|
@@ -195,6 +199,7 @@ def smooth_and_denoise(mask):
|
|
| 195 |
patch_size=5, patch_distance=3, channel_axis=None)
|
| 196 |
return denoised_mask
|
| 197 |
|
|
|
|
| 198 |
|
| 199 |
def predict(net, inputs_val, shapes_val, hypar, device):
|
| 200 |
'''
|
|
|
|
| 184 |
:param mask: The binary mask of the signature.
|
| 185 |
:return: Processed mask.
|
| 186 |
"""
|
| 187 |
+
# Ensure the mask is a 2D array
|
| 188 |
+
if mask.ndim > 2:
|
| 189 |
+
mask = mask[..., 0]
|
| 190 |
+
|
| 191 |
# Apply Gaussian Blurring for smoothing
|
| 192 |
smoothed_mask = cv2.GaussianBlur(mask, (5, 5), 0)
|
| 193 |
|
|
|
|
| 199 |
patch_size=5, patch_distance=3, channel_axis=None)
|
| 200 |
return denoised_mask
|
| 201 |
|
| 202 |
+
|
| 203 |
|
| 204 |
def predict(net, inputs_val, shapes_val, hypar, device):
|
| 205 |
'''
|