text: import cv2
  from SlideExtractor.detection.detectSlide import detectSlide
  from SlideExtractor.utils.convertToPDF import convertToPDF
  from SlideExtractor.utils.imageProcessing import *
  
  from tqdm import tqdm
  
  
  
  
  def extractSlides(video,frames_skipped=3000):
      print("Extracting...")
      deleteImages()
      index = 0
      ret, frame = video.read()
  
  
      prevSlide=frame
      slide_num=1
      saveSlide(frame,slide_num)
  
      total = int(video.get(cv2.CAP_PROP_FRAME_COUNT))-1
      pbar=tqdm(total=total)
      while(True):
          ret, frame = video.read()
          if not ret: 
              break
  
          if index%frames_skipped==0:
              if detectSlide(frame,prevSlide):
                  slide_num+=1
                  saveSlide(frame,slide_num)
                  prevSlide=frame
                  
          index += 1
          pbar.update(1)
      
      convertToPDF()
      deleteImages()
  