比较笨的方法，用来提取PPT课程视频画面，并生成对应的PPT，代码检测黑屏但没有检测白屏，没有检测重复画面（因为有些人讲课会来回翻PPT），因此还有优化空间。内存占用会逐渐增多，不过测试没有出现崩溃的情况。
PS：做完发现可以直接问讲课人要PPT原件，我，，，
import cv2
import os
import numpy as np
from pptx import Presentation
from pptx.util import Inches
from skimage.metrics import structural_similarity as ssim
import tkinter as tk
from tkinter import filedialog, messagebox
# 选择视频和输出目录
def select_video_and_output():
video_path = filedialog.askopenfilename(title="选择视频文件", filetypes=[("MP4 files", "*.mp4")])
if not video_path:
messagebox.showwarning("选择视频", "未选择视频文件")
return None, None
output_dir = filedialog.askdirectory(title="选择输出目录")
if not output_dir:
messagebox.showwarning("选择输出目录", "未选择输出目录")
return None, None
pptx_path = os.path.join(output_dir, "output_presentation.pptx")
return video_path, pptx_path
# 处理视频并生成 PPT
def process_video_to_ppt(video_path, pptx_path):
os.makedirs("ppt_images", exist_ok=True)
cap = cv2.VideoCapture(video_path)
_, prev_frame = cap.read()
prev_gray = cv2.cvtColor(prev_frame, cv2.COLOR_BGR2GRAY)
frame_count = 0
slide_count = 0
images = []
similarity_threshold = 0.95 # 提高 SSIM 阈值，减少相似图片
brightness_threshold = 10 # 黑屏检测（平均亮度 < 10 认为是黑屏）
def process_frame(frame):
""" 计算 SSIM 相似度，判断是否保存该帧 """
nonlocal prev_gray, slide_count
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
score = ssim(prev_gray, gray)
# 计算平均亮度，过滤黑屏
avg_brightness = np.mean(gray)
if avg_brightness < brightness_threshold:
return # 跳过黑屏帧
if score < similarity_threshold:
img_path = os.path.join("ppt_images", f"slide_{slide_count}.jpg")
# 确保不同的幻灯片才保存
if len(images) == 0 or images[-1] != img_path:
cv2.imwrite(img_path, frame)
images.append(img_path)
slide_count += 1
prev_gray = gray # 只在确认变化时更新参考帧
while cap.isOpened():
ret, frame = cap.read()
if not ret:
break
# 仅每隔 15 帧处理一次
if frame_count % 15 == 0:
process_frame(frame)
frame_count += 1
cap.release()
# cv2.destroyAllWindows()
# 创建 PPT
prs = Presentation()
for img in images:
slide = prs.slides.add_slide(prs.slide_layouts[5]) # 空白幻灯片
left, top, width, height = Inches(0), Inches(0), Inches(10), Inches(7.5)
slide.shapes.add_picture(img, left, top, width, height)
prs.save(pptx_path)
messagebox.showinfo("完成", f"PPTX 生成完成: {pptx_path}")
# 主函数
def main():
root = tk.Tk()
root.withdraw() # 隐藏主窗口
video_path, pptx_path = select_video_and_output()
if video_path and pptx_path:
process_video_to_ppt(video_path, pptx_path)
if __name__ == "__main__":
main()
