sorten

A helper utility to transform data representations for deep learning input.

Rationale

Given a directory of many input files which can be .jpeg, .hdr and so on, we need an easy way to convert as quickly as possible, all of these images and outputs into more malleable / desirable formats for learning and what-not. The intention of this is to take advantage of ridiculous CPU and memory offerings from cloud providers while mounting and transforming data stored in google buckets (for example).

Install

$ go get github.com/recogni/sorten

Or grab the latest release from the releases section.

The following additional CLI tools will also be required to run some of the image conversion jobs:

imagemagick:

You will also need imagemagick installed on your system. Modern versions of imagemagick will break apart the binary into separate sub-components like convert, compose and so on. If you have installed this to a non-standard path, you can set the path to the binaries using the --magic option in the command line.

brew install imagemagick

luminence-hdr

This is needed to apply the correct and appropriate tonemapping operator on the input HDR images, which will then give us losless 8-bit tiff images. From here we use imagemagick to convert again into jpeg. Here is an interesting discussion on tonemapping: http://osp.wikidot.com/parameters-for-photographers.

Note: On OSX 10.9 you will need an older (2.2.1) version of this program.

http://qtpfsgui.sourceforge.net/?page_id=10

Cross compile

$ cd $GOPATH/src/github.com/recogni/sorten
$ GOOS=linux go build -o sorten_linux .

Usage(s?)

$ sorten -h
Usage for sorten:
  -input string
        input directory to read images from
  -magic string
        path to imagemagick binaries (default "/usr/local/bin/")
  -output string
        output directory to read images from

Currently sorten only supports converting a directory (recursively) of .hdr images to .jpeg. Future workers will be crafted to convert intermediate or regular formats between each other.

.hdr -> .jpeg

Assuming that an output directory exists at /mnt/bucket/output, and a nested directory structure of .hdr images live in /mnt/bucket/input, you can convert them with as many cores as your system has using the following command:

$ sorten -input /mnt/bucket/input -output /mnt/bucket/output
$ sorten -input /mnt/bucket/input -output /mnt/bucket/output -magic /usr/local/bin

UE4 captures -> TF Record

TODO

JPEG + Bounding boxes -> TF Record

TODO