Python实现视频自动打码功能
我们在观看视频的时候，有时候会出现一些奇怪的马赛克，影响我们的观影体验，那么这些马赛克是如何精确的加上去的呢？
本次我们就来用Python实现对视频自动打码！
环境咱们还是使用 Python3.8 和 pycharm2021 即可
实现原理
- 将视频分为音频和画面；
- 画面中出现人脸和目标比对，相应人脸进行打码；
- 处理后的视频添加声音；
模块
手动安装一下 cv2 模块 ，pip install opencv-python 安装
素材工具
我们需要安装一下 ffmpeg 音视频转码工具
导入需要使用的模块
import cv2 import face_recognition # 人脸识别库 99.7% cmake dlib face_recognition import subprocess # python学习资料、本项目素材加群 815624229 免费领取
将视频转为音频
def video2mp3(file_name): """ :param file_name: 视频文件路径 :return: """ outfile_name = file_name.split('.')[0] + '.mp3' cmd = 'ffmpeg -i ' + file_name + ' -f mp3 ' + outfile_name print(cmd) subprocess.call(cmd, shell=False)
打码
def mask_video(input_video, output_video, mask_path='mask.jpg'): """ :param input_video: 需打码的视频 :param output_video: 打码后的视频 :param mask_path: 打码图片 :return: """ # 读取图片 mask = cv2.imread(mask_path) # 读取视频 cap = cv2.VideoCapture(input_video) # 视频 fps width height v_fps = cap.get(5) v_width = cap.get(3) v_height = cap.get(4) # 设置写入视频参数 格式MP4 # 画面大小 size = (int(v_width), int(v_height)) fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v') # 输出视频 out = cv2.VideoWriter(output_video, fourcc, v_fps, size) # 已知人脸 known_image = face_recognition.load_image_file('tmr.jpg') biden_encoding = face_recognition.face_encodings(known_image)[0] cap = cv2.VideoCapture(input_video) while (cap.isOpened()): ret, frame = cap.read() if ret: # 检测人脸 # 人脸区域 face_locations = face_recognition.face_locations(frame) for (top_right_y, top_right_x, left_bottom_y, left_bottom_x) in face_locations: print((top_right_y, top_right_x, left_bottom_y, left_bottom_x)) unknown_image = frame[top_right_y - 50:left_bottom_y + 50, left_bottom_x - 50:top_right_x + 50] if face_recognition.face_encodings(unknown_image) != []: unknown_encoding = face_recognition.face_encodings(unknown_image)[0] # 对比人脸 results = face_recognition.compare_faces([biden_encoding], unknown_encoding) # [True] # 贴图 if results == [True]: mask = cv2.resize(mask, (top_right_x - left_bottom_x, left_bottom_y - top_right_y)) frame[top_right_y:left_bottom_y, left_bottom_x:top_right_x] = mask out.write(frame) else: break
音频添加到画面
def video_add_mp3(file_name, mp3_file): """ :param file_name: 视频画面文件 :param mp3_file: 视频音频文件 :return: """ outfile_name = file_name.split('.')[0] + '-f.mp4' subprocess.call('ffmpeg -i ' + file_name + ' -i ' + mp3_file + ' -strict -2 -f mp4 ' + outfile_name, shell=False)
import cv2 import face_recognition # 人脸识别库 99.7% cmake dlib face_recognition import subprocess def video2mp3(file_name): outfile_name = file_name.split('.')[0] + '.mp3' cmd = 'ffmpeg -i ' + file_name + ' -f mp3 ' + outfile_name print(cmd) subprocess.call(cmd, shell=False) def mask_video(input_video, output_video, mask_path='mask.jpg'): # 读取图片 mask = cv2.imread(mask_path) # 读取视频 cap = cv2.VideoCapture(input_video) # 视频 fps width height v_fps = cap.get(5) v_width = cap.get(3) v_height = cap.get(4) # 设置写入视频参数 格式MP4 # 画面大小 size = (int(v_width), int(v_height)) fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v') # 输出视频 out = cv2.VideoWriter(output_video, fourcc, v_fps, size) # 已知人脸 known_image = face_recognition.load_image_file('tmr.jpg') biden_encoding = face_recognition.face_encodings(known_image)[0] cap = cv2.VideoCapture(input_video) while (cap.isOpened()): ret, frame = cap.read() if ret: # 检测人脸 # 人脸区域 face_locations = face_recognition.face_locations(frame) for (top_right_y, top_right_x, left_bottom_y, left_bottom_x) in face_locations: print((top_right_y, top_right_x, left_bottom_y, left_bottom_x)) unknown_image = frame[top_right_y - 50:left_bottom_y + 50, left_bottom_x - 50:top_right_x + 50] if face_recognition.face_encodings(unknown_image) != []: unknown_encoding = face_recognition.face_encodings(unknown_image)[0] # 对比人脸 results = face_recognition.compare_faces([biden_encoding], unknown_encoding) # [True] # 贴图 if results == [True]: mask = cv2.resize(mask, (top_right_x - left_bottom_x, left_bottom_y - top_right_y)) frame[top_right_y:left_bottom_y, left_bottom_x:top_right_x] = mask out.write(frame) else: break def video_add_mp3(file_name, mp3_file): outfile_name = file_name.split('.')[0] + '-f.mp4' subprocess.call('ffmpeg -i ' + file_name + ' -i ' + mp3_file + ' -strict -2 -f mp4 ' + outfile_name, shell=False) if __name__ == '__main__': # 1. video2mp3('cut.mp4') # 2. mask_video(input_video='cut.mp4',output_video='output.mp4') # 3. video_add_mp3(file_name='output.mp4',mp3_file='cut.mp3')
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