https://github.com/pfcclab/deepali

About Image, point set, and surface registration in Paddle.
https://github.com/pfcclab/deepali

image-registration medical-imaging spatial-transformer-networks

Last synced: 12 days ago
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About Image, point set, and surface registration in Paddle.

• Host: GitHub
• URL: https://github.com/pfcclab/deepali
• Owner: PFCCLab
• License: apache-2.0
• Created: 2024-11-04T09:16:25.000Z (3 months ago)
• Default Branch: develop
• Last Pushed: 2025-01-16T10:03:27.000Z (24 days ago)
• Last Synced: 2025-01-16T11:33:04.160Z (24 days ago)
• Topics: image-registration, medical-imaging, spatial-transformer-networks
• Language: Python
• Homepage:
• Size: 608 KB
• Stars: 0
• Watchers: 6
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.cff

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README

        
# deepali(Paddle Backend)

> [!IMPORTANT]

> This branch(paddle) experimentally supports [Paddle backend](https://www.paddlepaddle.org.cn/en/install/quick?docurl=/documentation/docs/en/develop/install/pip/linux-pip_en.html)

> as almost all the core code has been completely rewritten using the Paddle API.

>

> It is recommended to install **nightly-build(develop)** Paddle before running any code in this branch.

Install:

``` shell

# paddlepaddle develop

python -m pip install --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu118/

# setup config file is pyproject.toml

pip install .

# test

pytest -v ./tests

```

## example code

``` python

import paddle

from deepali.core import bspline as B

kernel = B.cubic_bspline_interpolation_weights(5)

assert isinstance(kernel, paddle.Tensor)

assert tuple(kernel.shape) == (5, 4)

assert paddle.allclose(

    x=kernel, y=B.cubic_bspline_interpolation_weights(5, derivative=0)

).item()

```