Tool overview

The following command-line tools are provided with OpenColorIO.

The –help argument may be provided for info about the arguments and most tools use the -v argument for more verbose output.

Many of the tools require you to first set the OCIO environment variable to point to the config file you want to use.

Note that some tools depend on OpenEXR or OpenImageIO and other libraries:
  • ociolutimage: (OpenEXR or OpenImageIO)

  • ociodisplay: (OpenEXR or OpenImageIO), OpenGL, GLEW, GLUT

  • ocioconvert: (OpenEXR or OpenImageIO)

ocioarchive

This command-line tool allows you to convert a config and its external LUT files into an OCIOZ archive file. A .ocioz file may be supplied to any command that takes the path to a config or set as the OCIO environment variable.

This example creates a file called myarchive.ocioz:

$ ocioarchive myarchive --iconfig myconfig/config.ocio

This command will expand it back out:

$ ocioarchive --extract myarchive.ocioz

The –list option may be used to see the contents of a .ocioz file.

ociocheck

This is a command-line tool which shows an overview of an OCIO config file, and checks for obvious errors.

For example, the following shows the output of a config with a typo - the colorspace used for compositing_log is incorrect:

$ ociocheck --iconfig example.ocio

OpenColorIO Library Version: 0.8.3
OpenColorIO Library VersionHex: 525056
Loading example.ocio

** General **
Search Path: luts
Working Dir: /tmp

Default Display: sRGB
Default View: Film

** Roles **
ncf (default)
lnf (scene_linear)
NOT DEFINED (compositing_log)

** ColorSpaces **
lnf
lgf
ncf
srgb8 -- output only

ERROR: Config failed validation. The role 'compositing_log' refers to a colorspace, 'lgff', which is not defined.

Tests complete.

It cannot verify the defined color transforms are “correct”, only that the config file can be loaded by OCIO without error. Some of the problems it will detect are:

  • Duplicate colorspace names

  • References to undefined colorspaces

  • Required roles being undefined

  • At least one display device is defined

  • No v2 features are used in a v1 config

As with all the OCIO command-line tools, you can use the –help argument to read a description and see the other arguments accepted:

$ ociocheck --help
ociocheck -- validate an OpenColorIO configuration

usage:  ociocheck [options]

    --help        Print help message
    --iconfig %s  Input .ocio configuration file (default: $OCIO)
    --oconfig %s  Output .ocio file

ociochecklut

The ociochecklut tool will load any LUT type supported by OCIO and print any errors or warnings encountered. An RGB or RGBA value may be provided and will be evaluated through the LUT and the result printed to the console. Alternatively, the -t option will send a predefined set of test RGB values through the LUT:

$  ociochecklut -v acescct_to_rec709.clf  0.18 0.18 0.18

OCIO Version: 2.0.0dev

Input  [R G B]: [      0.18      0.18       0.18]
Output [R G B]: [0.05868321 0.0586832 0.05868318]

The –gpu argument may be used to evaluate using the GPU renderer rather than the CPU renderer.

ociobakelut

A command-line tool which bakes a color transform into various color lookup file formats (“a LUT”)

This is intended for applications that have not directly integrated OCIO, but can load LUT files

If we want to create a lnf to srgb8 viewer LUT for Houdini’s MPlay:

$ ociobakelut --inputspace scene_linear --shaperspace lg10 --outputspace srgb8 --format houdini houdini__lnf_to_lg10_to_srgb8.lut

The --inputspace and -outputspace options specify the colorspace of the input image, and the displayed image.

Since a 3D LUT can only practically operate on 0-1 (e.g a Log image), the --shaperspace option is specified. This uses the Houdini LUT’s 1D “pretransform” LUT to do “lnf” to “lg10”, then the 3D LUT part to go from “lg10” to “srgb8” (basically creating a single file containing a 1D linear-to-log LUT, and a 3D log-to-sRGB LUT)

To make a legacy log to sRGB LUT in 3dl format, the usage is similar, except the shaperspace option is omitted, as the input colorspace does not have values outside 0.0-1.0 (being a Log space):

$ ociobakelut --inputspace lg10 --outputspace srgb8 --format flame flame__lg10_to_srgb.3dl

See the Supported LUT Formats section for a list of formats that support baking, and see the Baking LUT’s for more information on baking LUTs.

The ociobakelut command supports many arguments, use the –help argument for a summary.

ocioconvert

Loads an image, applies a color transform, and saves it to a new file.

The ocioconvert tool applies either an aribtrary LUT, or a complex OpenColorIO transform. OCIO transforms can be from an input color space to either an output color space or a (display,view) pair.

Both CPU (default) and GPU renderers are supported. The –gpuinfo argument may be used to output the shader program used by the GPU renderer.

Uses OpenImageIO or OpenEXR for opening and saving files and modifying metadata. Supported formats will vary depending on the use of OpenImageIO. Use the –help argument for more information on to the available options.

ociodisplay

An example image viewer demonstrating the OCIO C++ API.

Uses OpenImageIO or OpenEXR to load images, and displays them using OCIO and typical viewer controls (scene-linear exposure control and a post-display gamma control).

May be useful to users to quickly check a color space configuration.

NOTE: This program is not a very good example of how to build a UI. For example, it assumes each display has the same views, which is often not the case. Also, it does not leverage any of the new OCIO v2 features.

pyociodisplay

The pyociodisplay tool is a minimal image viewer implementation demonstrating use of the OCIO GPU renderer in a Python application. It requires downloading a few dependencies before use. For more information, please see the README.

ociolutimage

The ociolutimage tool converts a 3D LUT to or from an image.

Image containers are occasionally used for encoding and exchanging simple color lookup data where standard LUT formats are less feasible. The ociolutimage tool offers an arguably “artist-friendly”, WYSIWYG workflow for creating LUTs representing arbitrary color transforms.

The workflow is a three step process:

1. Generate an identity lattice image with ociolutimage --generate
2. Apply color transforms to the generated image (e.g., in a DCC application)
3. Extract LUT data from the modified RGB lattice values with
   ociolutimage --extract

See also

Nuke’s CMSTestPattern and GenerateLUT nodes are analogous to the ociolutimage –generate and –extract options, respectively. Applications such as Lattice provide similar functionality.

ociomakeclf

The ociomakeclf tool converts a LUT into Academy/ASC Common LUT Format (CLF):

$ ociomakeclf lut_file.cube lut_file.clf

The –csc argument may be used to convert the LUT into an ACES compliant Look Modification Transform (LMT) that may be referenced from an ACES Metadata File. An ACES LMT requires ACES2065-1 color space values on input and output. The –csc argument is used to specify the standard color space that the Look LUT expects on input and output and the tool will prepend a transform from ACES2065-1 to the LUT color space and postpend a transform from that color space back to ACES2065-1:

$ ociomakeclf my_ACEScct_look.cube my_LMT.clf --csc ACEScct

The –list argument will print out all of the standard ACES color spaces that are supported as –csc arguments.

ocioperf

The ocioperf tool allows you to benchmark the performance of a given color transformation on your hardware. Please use the –help argument for a description of the options.

The metric used for assessing performance is the time taken to apply a transform to an image with respect to each pixel, to each line, or to the entire image plane (or all three). By default, each test is run ten times.

Transforms are either provided as an external file or specified in the active config (i.e., the config pointed to by the OCIO environment variable).

Examples:

$ ocioperf —displayview ACEScg sRGB ‘Show LUT’ —iter 20 —image test.exr
# Measures an ACEScg —> sRGB / ‘Show LUT’ DisplayViewTransform applied to each
# pixel of ‘test.exr’ twenty times.

$ ocioperf —transform my_transform.ctf —out f32 —image meow.jpg
# Measures ‘my_transform.ctf’ applied to the whole ‘meow.jpg’ image and output
# as 32-bit float data ten times.

$ ocioperf —colorspaces ‘LogC AWG’ ACEScg —test 1 —image marcie.dpx
# Measures a ‘LogC AWG’ —> ACEScg ColorSpaceTransform applied to each line of
# ‘marcie.dpx’ ten times.

ocioview

This is a new GUI tool for inspecting and editing config files. It is currently an alpha release and we are looking for contributors to extend it or provide tutorials. Please see the README in apps/ocioview for details about installation.

ociowrite

The ociowrite tool allows you to serialize a color transformation to an XML file. This is useful for troubleshooting and also to be able to send a complete OCIO color conversion as a single file.

Note that this command does not do any baking of the transform into another format and so should give identical results to the original.

The –colorspaces argument specifies the source and destination color spaces for a ColorSpaceTransform and the –file argument specifies that name of the output file. The OCIO environment variable is used to specify the config file to be used.

The two file formats supported are CTF and CLF and this is selected by the extension you provide to the –file argument. The CTF format is recommended because it is able to represent all OCIO transforms and operators. The CLF format is also allowed since it has wider support in non-OCIO applications but the tool will not write the file if the transformation would require an operator that is not supported by CLF.

Here is an example:

$ export OCIO=/path/to/the/config.ocio
$ ociowrite --colorspaces acescct aces2065-1 --file mytransform.ctf

pyocioamf

The pyocioamf tool is an initial attempt to support the ACES Metadata File (AMF) format. This Python script will take an AMF file and produce an OCIO CTF file that implements its color pipeline. The CTF file may be applied to images using tools such as ocioconvert. For more information, please see the README.