发布时间：2025-06-24 18:56:18  作者：北方职教升学中心  阅读量：037


defgenerate_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iflen(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)returnmask #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defgenerate_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)//5index =0whilesuccess:ifindex %step ==0:mask =cv2.bitwise_and(mask,self.generate_single_mask(frame,roi,self.threshold))success,frame =video.read()index +=1video.release()returnself.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。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：

importcv2importnumpy asnp # 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、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。
（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。defselect_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 =0.7w,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)]returnwatermark_roi      #对输入的蒙版进行膨胀运算，扩大蒙版的范围defdilate_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)returnmask        #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。python实战之去除视频水印&字幕，完整代码
importosimportsysimportcv2importnumpyfrommoviepy importeditor VIDEO_PATH ='video'OUTPUT_PATH ='output'TEMP_VIDEO ='temp.mp4'classWatermarkRemover():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。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：
importcv2importnumpy asnp defremove_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)whileTrue:ret,frame =cap.read()ifnotret: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。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。
ps：参考自：https://blog.csdn.net/weixin_63253486/article/details/131421022

1、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()ifret:# 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)ifcv2.waitKey(1)&0xFF==ord('q'):breakelse:breakcap.release()out.release()cv2.destroyAllWindows()

3、defgenerate_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returnself.dilate_mask(mask)definpaint_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)returntelea defmerge_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 '''witheditor.VideoFileClip(input_path)asvideo:audio =video.audio witheditor.VideoFileClip(temp_path)asopencv_video:clip =opencv_video.set_audio(audio)clip.to_videofile(output_path)defremove_video_watermark(self):''' 去除视频水印 '''ifnotos.path.exists(OUTPUT_PATH):os.makedirs(OUTPUT_PATH)filenames =[os.path.join(VIDEO_PATH,i)fori inos.listdir(VIDEO_PATH)]mask =Nonefori,name inenumerate(filenames):ifi ==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()whilesuccess: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)ifos.path.exists(TEMP_VIDEO):os.remove(TEMP_VIDEO)defremove_video_subtitle(self):''' 去除视频字幕 '''ifnotos.path.exists(OUTPUT_PATH):os.makedirs(OUTPUT_PATH)filenames =[os.path.join(VIDEO_PATH,i)fori inos.listdir(VIDEO_PATH)]roi =[]fori,name inenumerate(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()ifi ==0:roi =self.select_roi(frame,'select subtitle ROI')whilesuccess: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)ifos.path.exists(TEMP_VIDEO):os.remove(TEMP_VIDEO)if__name__ =='__main__':sel=input('1：去水印, 2:去字幕\n')ifsel=='1':remover =WatermarkRemover(threshold=80,kernel_size=5)remover.remove_video_watermark()ifsel=='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。以下是一个简单的Python脚本示例：

importsubprocess defremove_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、

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