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Split Raster: Slide Window and Random Sampling
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@cuicaihao cuicaihao released this 11 Aug 02:24
· 99 commits to master since this release
v0.3.1
307fb8d

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).
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