Stop wasting time with sloppy 'gram filters, and use
pycubelut to easily add that pro feel to your images!
$ sudo pip3 install pycubelut $ cubelut F-8700-V2-STD.cube P1040326.jpg -v INFO: Processing image: P1040326.jpg INFO: Completed in 6.71s
Many professionals apply 3D LUTs to obtain a certain look and feel to their images and videos, which is usually done with proprietary software such as Adobe Photoshop or Final Cut Pro.
pycubelut was created to be the first easy to use, open-source, command-line tool to apply Adobe Cube LUTs to images.
In the context of images, a Lookup Table (LUT) is a table describing a transformation of RGB values. There are multiple types of LUTs used in image processing, most common being 1D LUTs and 3D LUTs. A 1D LUT contains an independent transformation for each colour channel, meaning there would be three 1D LUTs defined (for Red, Green, and Blue). However, a 3D LUT has every colour in RGB space directly mapped to another specified colour (ℝ³ -> ℝ³), allowing for powerful and arbitrary transformations, such as greyscale, false colour, and hue shifts. All colour effects, such as gamma, contrast, brightness, etc. can be encoded as a 3D LUT.
3D LUTs are essentially grids in the shape of cubes (hence Adobe used
.cube for their LUT file extension). In order to encode a lossless transformation of the complete 8 bit RGB space, 256x256x256 mappings are needed. However, the Cube format allows for interpolation of values from a LUT defined with fewer points, commonly 33x33x33 mappings.
Warning: If your input image is in a Log colorspace, make sure to choose a Log LUT!
$ cubelut --help usage: cubelut [-h] [-o OUT] [-g] [-v] [-t [THUMB]] [-j JOBS] LUT INPUT Tool for applying Adobe Cube LUTs to images positional arguments: LUT Cube LUT filename/folder INPUT input image filename/folder optional arguments: -h, --help show this help message and exit -o OUT, --out OUT output image folder -g, --log convert to Log before LUT -v, --verbose control verbosity and info messages -t [THUMB], --thumb [THUMB] resizes to <= 500px, optionally specify max size -j JOBS, --jobs JOBS number of processes to spawn, defaults to number of logical CPUs
.cube files in the folder to the image(s)
$ cubelut ./my_luts/ P1040326.jpg
Batch Image Processing
Processes all images in the input folder, and outputs to a specified folder
$ cubelut ./my_luts/ ./my_images/ -o ./new_images/
Resizes images for a huge speedup, useful for multiple LUTs
$ cubelut ./my_luts/ P1040326.jpg -t