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Releases: cuicaihao/split_raster

v0.4.1

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@github-actions github-actions released this 24 May 02:01
6330c6a
Merge pull request #31 from cuicaihao/develop

Release 0.4.1

Release v0.4.0 - Repository Modernization & Optional GIS Support

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@cuicaihao cuicaihao released this 29 Mar 08:50

What's New in v0.4.0:

  • Modern Tooling: Full migration to uv for dependency management and ruff for ultra-fast linting and formatting.
  • Optional GIS Support: Added gdal as an optional "extra". Users can now install GIS-specific features using pip install "splitraster[geo]".
  • Streamlined Structure: Standardized the test suite into a root tests/ directory and removed legacy boilerplate files.
  • Enhanced Documentation: Reorganized tutorials into a numbered progression and unified the contributing guidelines.
  • Modern CI/CD: Updated GitHub Actions to PEP 517 build standards, supporting Python 3.10 through 3.13.

Release v0.3.7

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@cuicaihao cuicaihao released this 04 May 00:37
d6eea35
  • enable python 3.17
  • refine the docs

Release v0.3.6

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@cuicaihao cuicaihao released this 03 May 23:45
4b1dfaf

2025 Code Review and Refinements

Release 0.3.5

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@github-actions github-actions released this 23 Mar 04:11
Allow the Twine to skip existing versions

v0.3.4

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@cuicaihao cuicaihao released this 17 Mar 12:47
1040fec

Split Raster v0.3.4

Update details and add a project page

What's Changed

New Contributors

Full Changelog: v0.3.3...v0.3.4

SplitRaster for Python 3.10, 3.11

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@cuicaihao cuicaihao released this 15 Dec 21:55

Upgrade package to adapt python 3.10, 3.11.

Full Changelog: v0.3.2...v0.3.3

SplitRaster for Python 3.7, 3.8 and 3.9

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@cuicaihao cuicaihao released this 16 Jan 12:03

Fix small bugs for the f-string issue in python 3.7, make it work with python3.7 environment including Google colab environment.

Split Raster: Slide Window and Random Sampling

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@cuicaihao cuicaihao released this 11 Aug 02:24

Provide good support for deep learning and computer vision tasks by creating a tiled output from an input raster dataset.
New:

  • This release adds the random sampling method to generate image pairs.
  • This new feature can generate the input and target sample image in one line.
  • User can choose the crop image size.
  • User can choose the crop image pair number.

Early:

  • Use the slide window method to crop one big image to small tiles.
  • Use can choose the crop image size.
  • Use can choose the overlap percentages.
  • The Slide window method is used from the top left corner to the bottom right corner, row first (Z style).