video2pdfslides-tddschn 0.1.2

Converts a video presentation into a deck of pdf slides by capturing screenshots of unique frames

video2pdfslides-tddschn

PyPI Upload of https://github.com/kaushikj/video2pdfslides,

with more command line options.

All credits to https://github.com/kaushikj.

Description

This project converts a video presentation into a deck of pdf slides by capturing screenshots of unique frames
youtube demo: https://www.youtube.com/watch?v=Q0BIPYLoSBs

• video2pdfslides-tddschn
• Description
  • Installation
    • pipx
    • pip
• Usage
• Example
• More
  • Develop
• Developer contact info

Installation

Requires Python 3.9.

pipx

This is the recommended installation method.

$ pipx install video2pdfslides-tddschn --python "$(which python3.9)"

pip

$ python3.9 -m pip install video2pdfslides-tddschn

Usage

video2pdfslides <video_path>

it will capture screenshots of unique frames and save it output folder...once screenshots are captured the program is paused and the user is asked to manually verify the screenshots and delete any duplicate images. Once this is done the program continues and creates a pdf out of the screenshots.

$ v2ps --help

usage: video2pdfslides [-h] [--output_slides_dir OUTPUT_SLIDES_DIR] [--frame_rate FRAME_RATE] [--warmup WARMUP] [--fgbg_history FGBG_HISTORY]
                       [--var_threshold VAR_THRESHOLD] [--detect_shadows] [--min_percent MIN_PERCENT] [--max_percent MAX_PERCENT] [-V]
                       video_path

Converts a video presentation into a deck of pdf slides by capturing screenshots of unique frames

positional arguments:
  video_path            path of video to be converted to pdf slides

optional arguments:
  -h, --help            show this help message and exit
  --output_slides_dir OUTPUT_SLIDES_DIR
                        path of output folder (default: ./output)
  --frame_rate FRAME_RATE
                        no of frames per second that needs to be processed, fewer the count faster the speed (default: 3)
  --warmup WARMUP       initial number of frames to be skipped (default: 3)
  --fgbg_history FGBG_HISTORY
                        no.of frames in background object (default: 45)
  --var_threshold VAR_THRESHOLD
                        Threshold on the squared Mahalanobis distance between the pixel and the model to decide whether a pixel is well described by the
                        background model. This parameter does not affect the background update. (default: 16)
  --detect_shadows      If true, the algorithm will detect shadows and mark them. It decreases the speed a bit, so if you do not need this feature, set the
                        parameter to false. (default: False)
  --min_percent MIN_PERCENT
                        min percentage of diff between foreground and background to detect if motion has stopped (default: 0.1)
  --max_percent MAX_PERCENT
                        max percentage of diff between foreground and background to detect if frame is still in motion (default: 3.0)
  -V, --version         show program's version number and exit

Example

There are two sample video avilable in "./input", you can test the code using these input by running

python video2pdfslides.py "./input/Test Video 1.mp4" (4 unique slide)

python video2pdfslides.py "./input/Test Video 2.mp4" (19 unique slide)

More

The default parameters works for a typical video presentation. But if the video presentation has lots of animations, the default parametrs won't give a good results, you may notice duplicate/missing slides. Don't worry, you can make it work for any video presentation, even the ones with animations, you just need to fine tune and figure out the right set of parametrs, The 3 most important parameters that I would recommend to get play around is "MIN_PERCENT", "MAX_PERCENT", "FGBG_HISTORY". The description of these variables can be found in code comments.

Develop

$ git clone https://github.com/tddschn/video2pdfslides-tddschn.git
$ cd video2pdfslides-tddschn
$ poetry install

Developer contact info

kaushik jeyaraman: [e-mail]