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import cv2
import numpy as np
import random
import tempfile
from utils import resize_image, text_to_image
def add_and_detect_watermark_image(image, watermark_text, num_watermarks=5):
watermark_positions = []
h, w, _ = image.shape
h_new = (h // 8) * 8
w_new = (w // 8) * 8
image_resized = cv2.resize(image, (w_new, h_new))
ycrcb_image = cv2.cvtColor(image_resized, cv2.COLOR_BGR2YCrCb)
y_channel, cr_channel, cb_channel = cv2.split(ycrcb_image)
dct_y = cv2.dct(np.float32(y_channel))
rows, cols = dct_y.shape
font = cv2.FONT_HERSHEY_SIMPLEX
for _ in range(num_watermarks):
text_size = cv2.getTextSize(watermark_text, font, 0.5, 1)[0]
text_x = random.randint(0, cols - text_size[0])
text_y = random.randint(text_size[1], rows)
watermark = np.zeros_like(dct_y)
watermark = cv2.putText(watermark, watermark_text, (text_x, text_y), font, 0.5, (1, 1, 1), 1, cv2.LINE_AA)
dct_y += watermark * 0.01
watermark_positions.append((text_x, text_y, text_size[0], text_size[1]))
idct_y = cv2.idct(dct_y)
ycrcb_image[:, :, 0] = idct_y
watermarked_image = cv2.cvtColor(ycrcb_image, cv2.COLOR_YCrCb2BGR)
watermark_highlight = watermarked_image.copy()
for (text_x, text_y, text_w, text_h) in watermark_positions:
cv2.putText(watermark_highlight, watermark_text, (text_x, text_y), font, 0.5, (0, 0, 255), 1, cv2.LINE_AA)
cv2.rectangle(watermark_highlight, (text_x, text_y - text_h), (text_x + text_w, text_y), (0, 0, 255), 2)
# Save watermarked image and highlight to temporary files
_, watermarked_image_path = tempfile.mkstemp(suffix=".png")
_, watermark_highlight_path = tempfile.mkstemp(suffix=".png")
cv2.imwrite(watermarked_image_path, watermarked_image)
cv2.imwrite(watermark_highlight_path, watermark_highlight)
return watermarked_image, watermark_highlight, watermarked_image_path, watermark_highlight_path
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