ivutils 0.0.7

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ivutils

A set of functions to automate common image / video processing tasks for Machine learning projects.

This package is a lightweight wrapper over the opencv package. You can import the package into your python project to call the functions or call them directly from the ivutils CLI tool.

Modules

• vid - contains a list of video transformation functions
• img - contains a list of image transformation functions

Command Line Interface (CLI) tool

To use the CLI tool supports following syntax

ivutils {module} {command} {...args}

To see all available options, run the following command:

>ivutils vid transform -h
usage: ivutils vid transform [-h] -s SOURCE -t TARGET [-sf START_FRAME] [-ef END_FRAME] [-st START_TIME] [-et END_TIME]
                             [-fi FRAME_INTERVAL] [--resize_step RESIZE_STEP] [--crop_step CROP_STEP]

options:
  -h, --help            show this help message and exit
  -s, --source SOURCE   Path to the source image file
  -t, --target TARGET   Path to save the resized image
  -sf, --start_frame START_FRAME
  -ef, --end_frame END_FRAME
  -st, --start_time START_TIME
  -et, --end_time END_TIME
  -fi, --frame_interval FRAME_INTERVAL
  --resize_step RESIZE_STEP
                        Optional: format [width]x[height]
  --crop_step CROP_STEP
                        Optional: format [top]x[bottom]x[left]x[right]

The following command with open the source video, starting from 00:25 to 01:50 timeframe, crop the bounding box then resize it to 640x480 and create a new video file called target.mp4

ivutils vid transform -s "source.mp4" -t "target.mp4" -st "0:25" -et "1:50" --resize_step 640x480 --crop_step 100x200x100x200