Astridkraft commited on
Commit
a00258b
·
verified ·
1 Parent(s): 88051b8

Update text_integration.py

Browse files
Files changed (1) hide show
  1. text_integration.py +21 -8
text_integration.py CHANGED
@@ -3,7 +3,7 @@ import gradio as gr
3
  import numpy as np
4
  import cv2
5
 
6
- def add_text_to_image(image, text, text_x, text_y, font_size="80px", font_family="Roboto", font_color="Weiß"):
7
  """Fügt Text mit OpenCV zum Bild hinzu - garantiert skalierbar!"""
8
  if image is None or not text:
9
  return image
@@ -32,11 +32,17 @@ def add_text_to_image(image, text, text_x, text_y, font_size="80px", font_family
32
  }
33
  actual_color = color_mapping.get(font_color, (255, 255, 255))
34
 
35
- # OpenCV Font - GARANTIERT verfügbar und skalierbar!
36
- font = cv2.FONT_HERSHEY_SIMPLEX
 
 
 
 
 
 
37
  thickness = max(2, int(pixel_size / 20))
38
 
39
- print(f"OpenCV Text: '{text}' an ({text_x}, {text_y}) - Größe: {font_scale:.2f}, Dicke: {thickness}")
40
 
41
  # Text mit OpenCV hinzufügen
42
  cv2.putText(
@@ -67,7 +73,7 @@ def add_text_to_image(image, text, text_x, text_y, font_size="80px", font_family
67
  except:
68
  return image
69
 
70
- def create_text_preview(image, text, text_x, text_y, font_size="80px", font_family="Roboto", font_color="Weiß"):
71
  """Vorschau mit OpenCV"""
72
  if image is None:
73
  return image
@@ -101,7 +107,14 @@ def create_text_preview(image, text, text_x, text_y, font_size="80px", font_fami
101
  }
102
  actual_color = color_mapping.get(font_color, (255, 255, 255))
103
 
104
- font = cv2.FONT_HERSHEY_SIMPLEX
 
 
 
 
 
 
 
105
  thickness = max(2, int(pixel_size / 20))
106
 
107
  cv2.putText(
@@ -115,7 +128,7 @@ def create_text_preview(image, text, text_x, text_y, font_size="80px", font_fami
115
  cv2.LINE_AA
116
  )
117
 
118
- print(f"OpenCV Vorschau: Größe {font_scale:.2f}")
119
 
120
  # Zurück zu PIL
121
  result_image = cv2.cvtColor(preview, cv2.COLOR_BGR2RGB)
@@ -168,7 +181,7 @@ def create_text_integration_section_t2i():
168
  )
169
  with gr.Column():
170
  font_family_t2i = gr.Dropdown(
171
- choices=["Standard"],
172
  value="Standard",
173
  label="Schriftart"
174
  )
 
3
  import numpy as np
4
  import cv2
5
 
6
+ def add_text_to_image(image, text, text_x, text_y, font_size="80px", font_family="Standard", font_color="Weiß"):
7
  """Fügt Text mit OpenCV zum Bild hinzu - garantiert skalierbar!"""
8
  if image is None or not text:
9
  return image
 
32
  }
33
  actual_color = color_mapping.get(font_color, (255, 255, 255))
34
 
35
+ # OpenCV Font basierend auf Auswahl
36
+ font_mapping = {
37
+ "Standard": cv2.FONT_HERSHEY_SIMPLEX,
38
+ "Einfache Handschrift": cv2.FONT_HERSHEY_SCRIPT_SIMPLEX,
39
+ "Verschnörkelte Handschrift": cv2.FONT_HERSHEY_SCRIPT_COMPLEX
40
+ }
41
+
42
+ font = font_mapping.get(font_family, cv2.FONT_HERSHEY_SIMPLEX)
43
  thickness = max(2, int(pixel_size / 20))
44
 
45
+ print(f"OpenCV Text: '{text}' an ({text_x}, {text_y}) - Schrift: {font_family}, Größe: {font_scale:.2f}, Dicke: {thickness}")
46
 
47
  # Text mit OpenCV hinzufügen
48
  cv2.putText(
 
73
  except:
74
  return image
75
 
76
+ def create_text_preview(image, text, text_x, text_y, font_size="80px", font_family="Standard", font_color="Weiß"):
77
  """Vorschau mit OpenCV"""
78
  if image is None:
79
  return image
 
107
  }
108
  actual_color = color_mapping.get(font_color, (255, 255, 255))
109
 
110
+ # OpenCV Font basierend auf Auswahl
111
+ font_mapping = {
112
+ "Standard": cv2.FONT_HERSHEY_SIMPLEX,
113
+ "Einfache Handschrift": cv2.FONT_HERSHEY_SCRIPT_SIMPLEX,
114
+ "Verschnörkelte Handschrift": cv2.FONT_HERSHEY_SCRIPT_COMPLEX
115
+ }
116
+
117
+ font = font_mapping.get(font_family, cv2.FONT_HERSHEY_SIMPLEX)
118
  thickness = max(2, int(pixel_size / 20))
119
 
120
  cv2.putText(
 
128
  cv2.LINE_AA
129
  )
130
 
131
+ print(f"OpenCV Vorschau: Schrift {font_family}, Größe {font_scale:.2f}")
132
 
133
  # Zurück zu PIL
134
  result_image = cv2.cvtColor(preview, cv2.COLOR_BGR2RGB)
 
181
  )
182
  with gr.Column():
183
  font_family_t2i = gr.Dropdown(
184
+ choices=["Standard", "Einfache Handschrift", "Verschnörkelte Handschrift"],
185
  value="Standard",
186
  label="Schriftart"
187
  )