PIX is an image processing library in JAX, for JAX.
JAX is a library resulting from the union of Autograd and XLA for high-performance machine learning research. It provides NumPy, SciPy, automatic differentiation and first-class GPU/TPU support.
PIX is a library built on top of JAX with the goal of providing image processing functions and tools to JAX in a way that they can be optimised and parallelised through jax.jit, jax.vmap and jax.pmap.
PIX is written in pure Python, but depends on C++ code via JAX.
Because JAX installation is different depending on your CUDA version, PIX does not list JAX as a dependency in pyproject.toml, although it is technically listed for reference, but commented.
First, follow JAX installation instructions to install JAX with the relevant accelerator support.
Then, install PIX using pip:
To use PIX, you just need to import dm_pix as pix and use it right away!
For example, let's assume to have loaded the JAX logo (available in examples/assets/jax_logo.jpg) in a variable called image and we want to flip it left to right.
All it's needed is the following code!
import dm_pix as pix # Load an image into a NumPy array with your preferred library. image = load_image() flip_left_right_image = pix.flip_left_right(image)
And here is the result!
All the functions in PIX can be jax.jited, jax.vmaped and jax.pmaped, so all the following functions can take advantage of optimization and parallelization.
import dm_pix as pix import jax # Load an image into a NumPy array with your preferred library. image = load_image() # Vanilla Python function. flip_left_right_image = pix.flip_left_right(image) # `jax.jit`ed function. flip_left_right_image = jax.jit(pix.flip_left_right)(image) # Assuming to have a single device, like a CPU or a single GPU, we add a # single leading dimension for using `image` with the parallelized or # the multi-device parallelization version of `pix.flip_left_right`. # To know more, please refer to JAX documentation of `jax.vmap` and `jax.pmap`. image = image[np.newaxis, ...] # `jax.vmap`ed function. flip_left_right_image = jax.vmap(pix.flip_left_right)(image) # `jax.pmap`ed function. flip_left_right_image = jax.pmap(pix.flip_left_right)(image)
You can check it yourself that the result from the four versions of pix.flip_left_right is the same (up to the accelerator floating point accuracy)!
We have a few examples in the examples/ folder. They are not much more involved then the previous example, but they may be a good starting point for you!
We provide a suite of tests to help you both testing your development environment and to know more about the library itself! All test files have _test suffix, and can be executed using pytest.
If you already have PIX installed, you just need to install some extra dependencies and run pytest as follows:
$ pip install -e ".[test]" $ python -m pytest [-n <NUMCPUS>] dm_pix
If you want an isolated virtual environment, you just need to run our utility bash script as follows:
This repository is part of the DeepMind JAX Ecosystem, to cite PIX please use the DeepMind JAX Ecosystem citation.
We are very happy to accept contributions!
Please read our contributing guidelines and send us PRs!
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