Delete add_text.py

add_text.py

@@ -1,54 +0,0 @@
-from PIL import Image, ImageDraw, ImageFont
-import numpy as np
-import textwrap
-import cv2
-
-
-def add_text(image, text, font_path, bubble_contour):
-    """
-    Add text inside a speech bubble contour.
-
-    Args:
-        image (numpy.ndarray): Processed bubble image (cv2 format - BGR).
-        text (str): Text to be placed inside the speech bubble.
-        font_path (str): Font path.
-        bubble_contour (numpy.ndarray): Contour of the detected speech bubble.
-
-    Returns:
-        numpy.ndarray: Image with text placed inside the speech bubble.
-    """
-    pil_image = Image.fromarray(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
-    draw = ImageDraw.Draw(pil_image)
-
-    x, y, w, h = cv2.boundingRect(bubble_contour)
-
-    wrapped_text = textwrap.fill(text, width=int(w * 0.1), break_long_words=True)
-
-    line_height = 12
-    font_size = 10
-    font = ImageFont.truetype(font_path, size=font_size)
-
-    lines = wrapped_text.split('\n')
-    total_text_height = (len(lines)) * line_height
-
-    if total_text_height > h:
-        font_size *= (h / total_text_height)
-        line_height = 10
-        total_text_height = (len(lines)) * line_height
-
-    # Vertical centering
-    text_y = y + (h - total_text_height) // 2
-
-    for line in lines:
-        text_length = draw.textlength(line, font=font)
-
-        # Horizontal centering
-        text_x = x + (w - text_length) // 2
-
-        draw.text((text_x, text_y), line, font=font, fill=(0, 0, 0))
-
-        text_y += line_height
-
-    image[:, :, :] = cv2.cvtColor(np.array(pil_image), cv2.COLOR_RGB2BGR)
-
-    return image