通过cv库智能切片 把不同的分镜切出来 自媒体抖音快手混剪

用 手机自动化脚本，从自媒体上获取视频，一个商品对应几百个视频，我们把这几百个视频下载下来，进行分镜

视频切片，从自媒体上下载视频，通过cv库用直方图识别每个镜头进行切片。

下载多个图片进行视频的伪原创，加上智能Ai文字

混剪完之后再通过自动化技术上传到各大平台，这其中真正做到一个人管上千个账号

电商创业团队需要技术的对接

import cv2
import numpy as npdef calculate_histogram(frame):gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)hist = cv2.calcHist([gray_frame], [0], None, [256], [0, 256])return histdef histogram_difference(hist1, hist2):return cv2.compareHist(hist1, hist2, cv2.HISTCMP_CORREL)def main(video_path, output_folder, max_duration=3):cap = cv2.VideoCapture(video_path)if not cap.isOpened():print("无法打开视频文件")returnfps = cap.get(cv2.CAP_PROP_FPS)max_frames = int(max_duration * fps)ret, prev_frame = cap.read()if not ret:print("无法读取视频")returnprev_hist = calculate_histogram(prev_frame)frame_count = 0scene_count = 0output_video = Nonewhile True:ret, frame = cap.read()if not ret:breakframe_count += 1curr_hist = calculate_histogram(frame)similarity = histogram_difference(prev_hist, curr_hist)if similarity < 0.9:if output_video is not None:output_video.release()  # 释放之前的输出视频output_path = f"{output_folder}/scene_{scene_count}.mp4"output_video = cv2.VideoWriter(output_path, cv2.VideoWriter_fourcc(*'mp4v'), fps,(int(cap.get(3)), int(cap.get(4))))scene_count += 1frame_count = 0  # 重置帧计数# 写入当前帧if output_video is not None:output_video.write(frame)if frame_count >= max_frames and output_video is not None:output_video.release()output_video = Noneprev_hist = curr_hist# 释放资源cap.release()if output_video is not None:output_video.release()if __name__ == "__main__":main("linshi.mp4", "output_folder")