Quickstart

Install the latest stable version of deepinv via pip:

pip install deepinv

or install the latest version of deepinv directly from the github repository:

pip install git+https://github.com/deepinv/deepinv.git#egg=deepinv

Since deepinv is under active development, you can update to the latest version easily using:

pip install --upgrade --force-reinstall --no-deps git+https://github.com/deepinv/deepinv.git#egg=deepinv

Once installed, you can try out the following image inpainting example:

>>> import deepinv as dinv
>>> from deepinv.utils import load_example
>>> x = load_example("cameraman.png", img_size=512, grayscale=True, device='cpu')
>>> physics = dinv.physics.Inpainting((1, 512, 512), mask = 0.5,
...     noise_model=dinv.physics.GaussianNoise(sigma=0.01))
>>> data_fidelity = dinv.optim.data_fidelity.L2()
>>> prior = dinv.optim.prior.PnP(denoiser=dinv.models.MedianFilter())
>>> model = dinv.optim.optim_builder(iteration="HQS", prior=prior, data_fidelity=data_fidelity,
...                             params_algo={"stepsize": 1.0, "g_param": 0.1})
>>> y = physics(x)
>>> x_hat = model(y, physics)
>>> dinv.utils.plot([x, y, x_hat], ["signal", "measurement", "estimate"], rescale_mode='clip')

You are now ready to try further examples or experiment yourself using our comprehensive User Guide!