生成一个基于视频的数字水印系统的python的代码，要复杂一些的

下面是一个基于视频的数字水印系统的Python代码示例：

import cv2
import numpy as np


def embed_watermark(video_path, watermark_text, output_path):
    # 打开视频文件
    video = cv2.VideoCapture(video_path)

    # 获取视频的帧率、宽度和高度
    fps = video.get(cv2.CAP_PROP_FPS)
    width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))
    height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))

    # 将水印文本转换为二进制
    watermark_binary = ''.join(format(ord(char), '08b') for char in watermark_text)

    # 根据视频帧数调整水印文本长度
    num_frames = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
    watermark_binary = watermark_binary[:num_frames]

    # 创建水印视频编码器
    fourcc = cv2.VideoWriter_fourcc(*'XVID')
    watermark_video = cv2.VideoWriter(output_path, fourcc, fps, (width, height))

    frame_index = 0

    while True:
        # 读取视频帧
        ret, frame = video.read()

        if not ret:
            break

        # 将水印文本转换为图像
        watermark_image = np.array(list(watermark_binary[frame_index])).reshape(height, width).astype(np.uint8) * 255

        # 添加水印到视频帧中
        watermarked_frame = cv2.addWeighted(frame, 1, watermark_image, 0.5, 0)

        # 写入水印视频
        watermark_video.write(watermarked_frame)

        frame_index += 1

    # 释放视频资源
    video.release()
    watermark_video.release()


def extract_watermark(video_path):
    # 打开水印视频文件
    watermark_video = cv2.VideoCapture(video_path)

    # 获取水印视频的帧率、宽度和高度
    fps = watermark_video.get(cv2.CAP_PROP_FPS)
    width = int(watermark_video.get(cv2.CAP_PROP_FRAME_WIDTH))
    height = int(watermark_video.get(cv2.CAP_PROP_FRAME_HEIGHT))

    # 获取水印视频的帧数
    num_frames = int(watermark_video.get(cv2.CAP_PROP_FRAME_COUNT))

    watermark_binary = ''

    for _ in range(num_frames):
        # 读取水印视频帧
        ret, frame = watermark_video.read()

        if not ret:
            break

        # 提取水印图像
        watermark_image = cv2.subtract(frame, cv2.GaussianBlur(frame, (0, 0), 3))

        # 将水印图像转换为二进制
        watermark_binary += ''.join('1' if pixel > 128 else '0' for row in watermark_image for pixel in row)

    # 将二进制转换为文本
    watermark_text = ''.join(chr(int(watermark_binary[i:i + 8], 2)) for i in range(0, len(watermark_binary), 8))

    # 释放水印视频资源
    watermark_video.release()

    return watermark_text


# 示例用法
video_path = 'input.mp4'
watermark_text = 'Hello, World!'
output_path = 'watermarked_video.avi'

embed_watermark(video_path, watermark_text, output_path)
extracted_text = extract_watermark(output_path)

print('Extracted watermark:', extracted_text)

以上代码使用OpenCV库实现了一个基于视频的数字水印系统。`embed_watermark`函数用于将水印文本嵌入到视频中，`extract_watermark`函数用于从水印视频中提取水印文本。你可以将要嵌入的水印文本和视频路径传递给`embed_watermark`函数，它将生成带有水印的视频，并保存到指定的输出路径。然后，你可以使用`extract_watermark`函数从水印视频中提取水印文本。

请注意，这只是一个简单的示例，实际应用中可能需要更复杂的算法和技术来实现更强大的基于视频的数字水印系统。