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Python module to read/edit 3DST textures.

Project description

py3dst is a module that allows to read, edit and convert 3DST textures

Installation

You can use the latest stable release from PyPi

pip install py3dst

Or install from the repository for latest changes but with the risk of unstability

pip install git+https://github.com/STBrian/py3dst.git

Command-line interface

The module has a simple command-line interface to perform certain tasks such as displaying the provided file on screen or other conversion tasks between formats

python -m py3dst -h

The previous command shows this help message

usage: py3dst [-h] [-c] [-r] [-f FORMAT] [-o OUT] [-v] [path]

Display or convert 3DST textures

positional arguments:
  path                  path to file to open and show        

options:
  -h, --help            show this help message and exit
  -c, --convert         indicates whether to convert the provided file
  -r, --recursive       convert files recursively in the directory
  -f FORMAT, --format FORMAT
                        (optional) color format for the output ('rgba8', 'rgb8', 'rgba5551', 'rgb565', 'rgba4', 'la8', 'la4')        
  -o OUT, --output OUT  destination file or directory if multiple output files
  -v, --version         show program's version number and exit

Supported formats:

  • RGBA8
  • RGB8
  • RGBA5551
  • RGB565
  • RGBA4
  • LA8
  • LA4

How to use

Open a texture

The open() function decodes and loads the texture at the provided path

from py3dst import Texture3dst

texture = Texture3dst().open("path/to/file")

Create a texture

The new() function allows to create a blank new texture

from py3dst import Texture3dst

texture = Texture3dst().new(128, 128)

new() takes 2 arguments: width, height

Optionally you can specify the 'mip_level' and 'format'

Export a texture

The export() function converts the data and writes the output data to the specified location

texture.export("path/to/out/file")

Convert to PIL Image

The copy() function will create an output of PIL Image type that you can then export to other image format

image = texture.copy(0, 0, texture.size[0], texture.size[1])
image.save("path/to/out/image/")

copy() takes 4 arguments: x1, y1, x2, y2

Being the coordinates that indicate the area to copy

Convert from PIL Image

The fromImage() function will take the PIL Image object and create a new texture with it. Example:

from py3dst import Texture3dst
from PIL import Image

image = Image.open("path/to/image/")
texture = Texture3dst().fromImage(image)

fromImage() takes 1 argument: image

image must be a PIL.Image object

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