bing_watermark_remover_python Public
没有万能去水印方法.
GIT 其他方法 - 直到特定区域 的 CV2 方法.
bing_watermark_remover_python/app.py at master · AmirHosseinAsa/bing_watermark_remover_python · GitHub
- import cv2
- import numpy as np
- import os
- def remove_watermark(image_path, output_path):
- # Load the image
- image = cv2.imread(image_path)
- # Determine the coordinates of the region to remove
- bottom_left_x = 0
- bottom_left_y = image.shape[0] - 50
- top_right_x = 50
- top_right_y = image.shape[0]
- # Create a mask for the main region to remove
- mask = np.zeros(image.shape[:2], dtype=np.uint8)
- mask[bottom_left_y:top_right_y, bottom_left_x:top_right_x] = 255
- # Pre-process the image (optional)
- # Apply image denoising or blurring techniques
- # Inpaint the main region
- image_without_watermark = cv2.inpaint(image, mask, 3, cv2.INPAINT_TELEA)
- # Create a mask for the remaining small region to remove
- small_mask = np.zeros(image.shape[:2], dtype=np.uint8)
- small_mask[-60:, :15] = 255
- # Inpaint the remaining small region
- image_without_watermark = cv2.inpaint(image_without_watermark, small_mask, 3, cv2.INPAINT_TELEA)
- # Post-process the image (optional)
- # Apply additional adjustments or refinements, such as blending or texture synthesis
- # Save the image without the watermark
- cv2.imwrite(output_path, image_without_watermark)
- # Input and output folders
- input_folder = "input"
- output_folder = "output"
- # Iterate over the files in the input folder
- for filename in os.listdir(input_folder):
- if filename.endswith(".jpeg") or filename.endswith(".jpg"):
- # Create the input and output paths for each image
- image_path = os.path.join(input_folder, filename)
- output_path = os.path.join(output_folder, filename)
- # Remove watermark and save the image
- remove_watermark(image_path, output_path)
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