Image Segmentation Animation using Quadtree concepts.

Related tags

Deep Learning QuadTree
Overview

QuadTree

Image Segmentation Animation using QuadTree concepts.

Bananas Segmented Bananas Bananas GIF Donuts Segmented Donuts Donuts GIF Forest Segmented Forest Forest GIF

Usage

usage: quad.py [-h] [-fps FPS] [-i ITERATIONS] [-ws WRITESTART] [-b] [-img] [-s STEP] input output

Quadtree Image Segmentation.

positional arguments:
  input                 Image to segment.
  output                Output filename.

optional arguments:
  -h, --help            show this help message and exit
  -fps FPS              Output FPS.
  -i ITERATIONS, --iterations ITERATIONS
                        Number of iterations.
  -ws WRITESTART, --writestart WRITESTART
                        Number of frames to write in sequence initially.
  -b, --border          Add borders to subimages.
  -img, --image         Save final output image.
  -s STEP, --step STEP  Once `iterations > ws`, only save a frame every `(iterations - ws)^s` iterations.

Dependencies

numpy
tqdm
imageio
imageio-ffmpeg

pip install numpy tqdm imageio
pip install imageio-ffmpeg --user
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Comments
  • chmod +x; requirements.txt

    chmod +x; requirements.txt

    By marking the script as executable (chmod +x quad.py), this enables one to do ./quad.py blah instead of python quad.py blah.

    Additionally, I strongly recommend adding a requirements.txt file, with 1 pip package name per line. By defining one's dependencies this way, others can simply install them like so:

    sudo pip3 install -r requirements.txt

    (of course it varies slightly by platform, but the principle is the same)

    opened by sbrl 3
Owner
Alex Eidt
Alex Eidt
GitHub https://youtu.be/XJ1O3lzwnpk
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