我们再搬运视频的时候常常会遇到视频有水印的问题
如下
下面就通过python来实现对视频水印的去除
在pycharm新建一个项目，创建image，video目录其他不用
必要条件
在终端下载相关依赖包
pip install moviepy==1.0.3pip installnumpy==1.21.5pip install opencv_python==4.5.5.62将要去除水印的视频放在video目录下，运行一下
用鼠标操作去除的部分，回车即可
去除了水印的视频输出到了output文件夹下
查看效果，还不错
代码实现
import osimport sysimport cv2import numpyfrom moviepy import editorVIDEO_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 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 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 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 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) 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__': #去除视频水印 remover = WatermarkRemover(threshold=80, kernel_size=5) remover.remove_video_watermark() #去除视频字幕 remover = WatermarkRemover(threshold=80, kernel_size=10) remover.remove_video_subtitle()来源地址：https://blog.csdn.net/m0_70638653/article/details/131105162
