- # Import necessary modules
- import glob
- import cv2
- # Set the directory containing the video files
- video_dir = './videos/'
- # Set the sentence to use for matching the transcript
- match_sentence = 'this is the sentence to match in the transcript'
- # Initialize the list of video segments to concatenate
- video_segments = []
- # Loop through all the video files in the directory
- for video_file in glob.glob(video_dir + '*.mp4'):
- # Open the video file
- video = cv2.VideoCapture(video_file)
- # Read the video file frame by frame
- success, frame = video.read()
- while success:
- # Check if the current frame contains the match sentence
- if match_sentence in frame:
- # Add the video segment to the list of video segments to concatenate
- video_segments.append(video_file)
- # Read the next frame
- success, frame = video.read()
- # Concatenate the video segments
- output_video = cv2.VideoWriter('output_video.mp4', cv2.VideoWriter_fourcc(*'MP4V'), 24, (1280, 720))
- for video_segment in video_segments:
- # Open the video segment
- segment = cv2.VideoCapture(video_segment)
- # Read the video segment frame by frame
- success, frame = segment.read()
- while success:
- # Write the current frame to the output video
- output_video.write(frame)
- # Read the next frame
- success, frame = segment.read()
- # Release the output video
- output_video.release()
- This code uses the glob module to loop through all the video files in a given directory, and the cv2 module (which is part of the OpenCV library) to read and write the video files. The code reads each video file frame by frame and checks if the match sentence is present in the current frame. If the match sentence is found, the video segment containing that frame is added to a list of video segments to concatenate. Finally, the code concatenates the video segments by reading each segment frame by frame and writing the frames to an output video.
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