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Build-a-Video-to-Slides-Converter-Application-using-the-Power-of-Background-Estimation-and-Frame-Differencing-in-OpenCV
Kunaldawn7 ac32856a05 Updated README.md on example usage 2 vuotta sitten
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sample_vids 6917a980f2 Added scripts for blog titled 'Build a Video to Slides Converter Application using the Power of Background Estimation and Frame Differencing in OpenCV' along with sample videos 2 vuotta sitten
README.md ac32856a05 Updated README.md on example usage 2 vuotta sitten
__init__.py 6917a980f2 Added scripts for blog titled 'Build a Video to Slides Converter Application using the Power of Background Estimation and Frame Differencing in OpenCV' along with sample videos 2 vuotta sitten
frame_differencing.py 6917a980f2 Added scripts for blog titled 'Build a Video to Slides Converter Application using the Power of Background Estimation and Frame Differencing in OpenCV' along with sample videos 2 vuotta sitten
post_process.py 29eadc6419 Updated hash_size = 12 in post_process.py 2 vuotta sitten
requirements.txt 6917a980f2 Added scripts for blog titled 'Build a Video to Slides Converter Application using the Power of Background Estimation and Frame Differencing in OpenCV' along with sample videos 2 vuotta sitten
utils.py 6917a980f2 Added scripts for blog titled 'Build a Video to Slides Converter Application using the Power of Background Estimation and Frame Differencing in OpenCV' along with sample videos 2 vuotta sitten
video_2_slides.py 6917a980f2 Added scripts for blog titled 'Build a Video to Slides Converter Application using the Power of Background Estimation and Frame Differencing in OpenCV' along with sample videos 2 vuotta sitten

README.md

Build a Video to Slides Converter Application using the Power of Background Estimation and Frame Differencing in OpenCV

This repository contains code for Build a Video to Slides Converter Application using the Power of Background Estimation and Frame Differencing in OpenCV blogpost

Video to Slides Conversion using Frame Differencing and Background Estimation


download

Install required packages

After unzipping the file Build-a-Video-to-Slides-Converter-Application-using-the-Power-of-Background-Estimation-and-Frame-Differencing-in-OpenCV, run the following command in your virtual environment:

pip install -r requirements.txt

Execution

The command line flags are as follows:

  • video_file_path: The path to the input video file.
  • out_dir: The path to the output directory where the results would be stored.
  • type: The type of background subtraction method to be applied. It can be one of: Frame_Diff, GMG (default), or KNN.
  • no_post_process: flag to specify whether to apply the post-processing step. If not specified, the post-processing step is always applied as default.
  • convert_to_pdf: flag to specify whether to convert the image set into a single PDF file.

An example usage can be:

python video_2_slides.py -v ./sample_vids/Neural_Networks_Overview.mp4 -o output_results --type GMG --convert_to_pdf

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