【python】去除水印的几种方式 |
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1、python调用FFMEPG的delogo函数去除水印
要使用Python调用FFmpeg的delogo filter去除视频水印，你需要使用subprocess模块运行FFmpeg命令。以下是一个简单的Python脚本示例： import subprocess def remove_watermark(input_video, output_video, logo_x, logo_y, logo_width, logo_height): # 构建FFmpeg命令 command = [ 'ffmpeg', '-i', input_video, '-vf', f'delogo=x={logo_x}:y={logo_y}:w={logo_width}:h={logo_height}', output_video ] # 运行FFmpeg命令 subprocess.run(command) # 使用函数去除水印 remove_watermark('input.mp4', 'output.mp4', 10, 10, 100, 100)使用说明视频：https://www.bilibili.com/video/BV1Jg4y1e7JJ/?spm_id_from=pageDriver 2、使用opencv-python库来处理视频帧要在Python中去除视频水印，可以使用opencv-python库来处理视频帧，并结合图像处理技术，如图像修复或者图层混合。以下是一个简单的示例，演示如何使用OpenCV去除静态图像水印： import cv2 import numpy as np def remove_watermark(video_path, watermark_path, output_path): # 读取视频和水印图像 cap = cv2.VideoCapture(video_path) watermark = cv2.imread(watermark_path, cv2.IMREAD_UNCHANGED) watermark = cv2.cvtColor(watermark, cv2.COLOR_BGR2GRAY) watermark = cv2.GaussianBlur(watermark, (5, 5), 0) # 获取水印的mask _, mask = cv2.threshold(watermark, 1, 255, cv2.THRESH_BINARY_INV) while True: ret, frame = cap.read() if not ret: break # 将水印区域替换为视频帧的背景 frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) seamless_clone = cv2.seamlessClone(watermark, frame, mask, center, cv2.NORMAL_CLONE) # 写入去水印后的视频帧 output_video.write(seamless_clone) cap.release() output_video.release() # 使用函数去除视频中的水印 remove_watermark('input_video.mp4', 'watermark.png', 'output_video.mp4')请注意，这个示例使用了seamlessClone函数，它要求水印区域的中心与背景相匹配，并且假设水印背景是纯色或者与视频背景融合得当。如果这些条件不满足，可能需要更复杂的图像处理技术，例如图像修复或深度学习去水印方法。 示例2 下面是使用OpenCV去除水印的Python代码示例： import cv2 import numpy as np # 读取视频和水印图像 video_path = 'video_with_watermark.mp4' watermark_path = 'watermark.png' cap = cv2.VideoCapture(video_path) # 读取视频的宽、高和帧数 frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) fps = cap.get(cv2.CAP_PROP_FPS) # 读取水印图像 watermark = cv2.imread(watermark_path, cv2.IMREAD_UNCHANGED) watermark_gray = cv2.cvtColor(watermark, cv2.COLOR_BGR2GRAY) # 创建输出视频 out = cv2.VideoWriter('video_without_watermark.mp4', cv2.VideoWriter_fourcc(*'XVID'), fps, (frame_width, frame_height)) while(cap.isOpened()): ret, frame = cap.read() if ret: # 转换为灰度图像 gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # 使用cv2.matchTemplate()寻找水印的位置 res = cv2.matchTemplate(gray_frame, watermark_gray, cv2.TM_CCOEFF_NORMED) min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res) # 计算水印的位置 top_left = max_loc bottom_right = (top_left[0] + watermark_gray.shape[1], top_left[1] + watermark_gray.shape[0]) # 绘制矩形框覆盖水印 cv2.rectangle(frame, top_left, bottom_right, (0, 0, 0), thickness=watermark_gray.shape[0]) # 写入去水印后的帧 out.write(frame) cv2.imshow('Video', frame) if cv2.waitKey(1) & 0xFF == ord('q'): break else: break cap.release() out.release() cv2.destroyAllWindows() 3、python实战之去除视频水印&字幕，完整代码 import os import sys import cv2 import numpy from moviepy import editor VIDEO_PATH = 'video' OUTPUT_PATH = 'output' TEMP_VIDEO = 'temp.mp4' class WatermarkRemover(): def __init__(self, threshold: int, kernel_size: int): self.threshold = threshold # 阈值分割所用阈值 self.kernel_size = kernel_size # 膨胀运算核尺寸 #根据用户手动选择的ROI（Region of Interest，感兴趣区域）框选水印或字幕位置。 def select_roi(self, img: numpy.ndarray, hint: str) -> list: ''' 框选水印或字幕位置，SPACE或ENTER键退出 :param img: 显示图片 :return: 框选区域坐标 ''' COFF = 0.7 w, h = int(COFF * img.shape[1]), int(COFF * img.shape[0]) resize_img = cv2.resize(img, (w, h)) roi = cv2.selectROI(hint, resize_img, False, False) cv2.destroyAllWindows() watermark_roi = [int(roi[0] / COFF), int(roi[1] / COFF), int(roi[2] / COFF), int(roi[3] / COFF)] return watermark_roi #对输入的蒙版进行膨胀运算，扩大蒙版的范围 def dilate_mask(self, mask: numpy.ndarray) -> numpy.ndarray: ''' 对蒙版进行膨胀运算 :param mask: 蒙版图片 :return: 膨胀处理后蒙版 ''' kernel = numpy.ones((self.kernel_size, self.kernel_size), numpy.uint8) mask = cv2.dilate(mask, kernel) return mask #根据手动选择的ROI区域，在单帧图像中生成水印或字幕的蒙版。 def generate_single_mask(self, img: numpy.ndarray, roi: list, threshold: int) -> numpy.ndarray: ''' 通过手动选择的ROI区域生成单帧图像的水印蒙版 :param img: 单帧图像 :param roi: 手动选择区域坐标 :param threshold: 二值化阈值 :return: 水印蒙版 ''' # 区域无效，程序退出 if len(roi) != 4: print('NULL ROI!') sys.exit() # 复制单帧灰度图像ROI内像素点 roi_img = numpy.zeros((img.shape[0], img.shape[1]), numpy.uint8) start_x, end_x = int(roi[1]), int(roi[1] + roi[3]) start_y, end_y = int(roi[0]), int(roi[0] + roi[2]) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) roi_img[start_x:end_x, start_y:end_y] = gray[start_x:end_x, start_y:end_y] # 阈值分割 _, mask = cv2.threshold(roi_img, threshold, 255, cv2.THRESH_BINARY) return mask #通过截取视频中多帧图像生成多张水印蒙版，并通过逻辑与计算生成最终的水印蒙版 def generate_watermark_mask(self, video_path: str) -> numpy.ndarray: ''' 截取视频中多帧图像生成多张水印蒙版，通过逻辑与计算生成最终水印蒙版 :param video_path: 视频文件路径 :return: 水印蒙版 ''' video = cv2.VideoCapture(video_path) success, frame = video.read() roi = self.select_roi(frame, 'select watermark ROI') mask = numpy.ones((frame.shape[0], frame.shape[1]), numpy.uint8) mask.fill(255) step = video.get(cv2.CAP_PROP_FRAME_COUNT) // 5 index = 0 while success: if index % step == 0: mask = cv2.bitwise_and(mask, self.generate_single_mask(frame, roi, self.threshold)) success, frame = video.read() index += 1 video.release() return self.dilate_mask(mask) #根据手动选择的ROI区域，在单帧图像中生成字幕的蒙版。 def generate_subtitle_mask(self, frame: numpy.ndarray, roi: list) -> numpy.ndarray: ''' 通过手动选择ROI区域生成单帧图像字幕蒙版 :param frame: 单帧图像 :param roi: 手动选择区域坐标 :return: 字幕蒙版 ''' mask = self.generate_single_mask(frame, [0, roi[1], frame.shape[1], roi[3]], self.threshold) # 仅使用ROI横坐标区域 return self.dilate_mask(mask) def inpaint_image(self, img: numpy.ndarray, mask: numpy.ndarray) -> numpy.ndarray: ''' 修复图像 :param img: 单帧图像 :parma mask: 蒙版 :return: 修复后图像 ''' telea = cv2.inpaint(img, mask, 1, cv2.INPAINT_TELEA) return telea def merge_audio(self, input_path: str, output_path: str, temp_path: str): ''' 合并音频与处理后视频 :param input_path: 原视频文件路径 :param output_path: 封装音视频后文件路径 :param temp_path: 无声视频文件路径 ''' with editor.VideoFileClip(input_path) as video: audio = video.audio with editor.VideoFileClip(temp_path) as opencv_video: clip = opencv_video.set_audio(audio) clip.to_videofile(output_path) def remove_video_watermark(self): ''' 去除视频水印 ''' if not os.path.exists(OUTPUT_PATH): os.makedirs(OUTPUT_PATH) filenames = [os.path.join(VIDEO_PATH, i) for i in os.listdir(VIDEO_PATH)] mask = None for i, name in enumerate(filenames): if i == 0: # 生成水印蒙版 mask = self.generate_watermark_mask(name) # 创建待写入文件对象 video = cv2.VideoCapture(name) fps = video.get(cv2.CAP_PROP_FPS) size = (int(video.get(cv2.CAP_PROP_FRAME_WIDTH)), int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))) video_writer = cv2.VideoWriter(TEMP_VIDEO, cv2.VideoWriter_fourcc(*'mp4v'), fps, size) # 逐帧处理图像 success, frame = video.read() while success: frame = self.inpaint_image(frame, mask) video_writer.write(frame) success, frame = video.read() video.release() video_writer.release() # 封装视频 (_, filename) = os.path.split(name) output_path = os.path.join(OUTPUT_PATH, filename.split('.')[0] + '_no_watermark.mp4') # 输出文件路径 self.merge_audio(name, output_path, TEMP_VIDEO) if os.path.exists(TEMP_VIDEO): os.remove(TEMP_VIDEO) def remove_video_subtitle(self): ''' 去除视频字幕 ''' if not os.path.exists(OUTPUT_PATH): os.makedirs(OUTPUT_PATH) filenames = [os.path.join(VIDEO_PATH, i) for i in os.listdir(VIDEO_PATH)] roi = [] for i, name in enumerate(filenames): # 创建待写入文件对象 video = cv2.VideoCapture(name) fps = video.get(cv2.CAP_PROP_FPS) size = (int(video.get(cv2.CAP_PROP_FRAME_WIDTH)), int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))) video_writer = cv2.VideoWriter(TEMP_VIDEO, cv2.VideoWriter_fourcc(*'mp4v'), fps, size) # 逐帧处理图像 success, frame = video.read() if i == 0: roi = self.select_roi(frame, 'select subtitle ROI') while success: mask = self.generate_subtitle_mask(frame, roi) frame = self.inpaint_image(frame, mask) video_writer.write(frame) success, frame = video.read() video.release() video_writer.release() # 封装视频 (_, filename) = os.path.split(name) output_path = os.path.join(OUTPUT_PATH, filename.split('.')[0] + '_no_sub.mp4') # 输出文件路径 self.merge_audio(name, output_path, TEMP_VIDEO) if os.path.exists(TEMP_VIDEO): os.remove(TEMP_VIDEO) if __name__ == '__main__': sel=input('1：去水印, 2:去字幕\n') if sel=='1': remover = WatermarkRemover(threshold=80, kernel_size=5) remover.remove_video_watermark() if sel=='2': remover = WatermarkRemover(threshold=80, kernel_size=5) remover.remove_video_subtitle()另外：图片去除水印方法 （一）手机——乐奇爱水印精灵 有点免费去除水印，可以无效其操作，但是每天只能保存一张，好就好在邀请一个人可以活得60此保存机会，那个被邀请的也能获得十次，可以P图。 （二）电脑——quququ.cn 把图片拖到网站，调整画笔大小，抹除文字就可以p图完成，免费下载就可以了。 ps：参考自：https://blog.csdn.net/weixin_63253486/article/details/131421022 |
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