Optical Flow file wizard
Project description
flowiz
Converts Optical Flow [.flo] files to images [.png] and optionally compiles them to a video [.mp4] via ffmpeg
Installation
Grab the latest package from PyPI repo
pip install flowiz -U
or grab it straight from Github
pip install git+https://github.com/georgegach/flowiz/
or clone the repo and install using setup.py
git clone https://github.com/georgegach/flowiz.git
cd flowiz
python setup.py install --user
Usage
Package can be used both from the command line and python script.
Command line usage
The following script grabs .flo
files from ./demo/flo/
directory and converts into .png
saving in the same directory
python -m flowiz demo/flo/*.flo
You can pass output directory for .png
images via -o
or --outdir
parameter
python -m flowiz demo/flo/*.flo --outdir demo/png/
You may compile converted .png
images into a 24 fps .mp4
clip by passing -v
or --videodir
parameter with a video output directory (without a filename)
python -m flowiz demo/flo/*.flo -o demo/png --videodir demo/mp4
Pass -r
or --framerate
parameter to control the framerate of compiled video
python -m flowiz demo/flo/*.flo -o demo/png -v demo/mp4 --framerate 2
General usage
Relevant python code is available in demo/test.ipynb
notebook. Here's an excerpt:
from flowiz import flowiz
f = flowiz()
files = glob.glob('demo/flo/*.flo')
img = f.convertFromFile(files[0])
plt.imshow(img)
Help
python -m flowiz -h
usage: __main__.py [-h] [--outdir OUTDIR] [--videodir VIDEODIR]
[--framerate FRAMERATE]
input [input ...]
positional arguments:
input Input file(s). (e.g.: __ ./demo/flo/*.flo)
optional arguments:
-h, --help show this help message and exit
--outdir OUTDIR, -o OUTDIR
Output directory path. Default: same directory as
[.flo] files. (e.g.: __ -o ./demo/png/)
--videodir VIDEODIR, -v VIDEODIR
Compiles [.mp4] video from [.png] images if parameter
is passed. Parameter requires video output directory
path without a filename. (e.g.: __ -v ./demo/mp4/)
--framerate FRAMERATE, -r FRAMERATE
Frames per second of the video. (e.g.: __ -r 2)
Requirements
Make sure you have following packages installed
pip install numpy tqdm pillow
Acknowledgements
The library is based on Midlebury's Vision Project MATLAB code: http://vision.middlebury.edu/flow/
Original credits to Daniel Scharstein (C++) and Deqing Sun (MATLAB)
FAQ
Q: What kind of name is
flowiz
A: The kind you choose whenflowkit
,flowtools
,flowlib
is already taken.
To-Do
- Ported
- Version 1.0 + pip
- Standalone PNG packaging (remove
pillow
dependency) - Standalone MP4 compiler (remove
ffmpeg
dependency)
Project details
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