| 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) |
|
|
| |
| _, 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 |
|
|
