Comments (3)
@leocd91 Unfortunately, for now, merging with Merger
class is possible only after passing Tiler
, implying the data was tiled with it. There is an example in examples
directory.
The library is far from ready (version 0.0.1 :)) and with your use case I would advise to just use numpy. For vertical merging you can use np.vstack
or np.hstack
for horizontal.
from tiler.
it's okay, I managed to repredict it from your tiler then merge it back lol.
anyway, I think a feature where the overlap pixel automatically calculated is a good idea.
for example, if one wants to have n-tiles with the same shape from an image.
from tiler.
Glad you've solved it! I agree, such feature would be very useful. Hopefully I will have more time to work on that in December!
from tiler.
Related Issues (18)
- [IDEA] Calculate Tiler overhead and create benchmarking scripts
- [IDEA] Implement mirroring/D4 rotation augmentation
- [IDEA] Border windows
- [IDEA] Add more examples
- [IDEA] Tiling PyTorch tensors HOT 1
- [IDEA] Return all tiles HOT 1
- [IDEA] Return all bounding box corners of each tile HOT 1
- Link to napari-tiler HOT 1
- [IDEA] Figuring out how to use this library with TensorFlow multi-class and binary classification HOT 3
- [BUG] Incompatible Python and NumPy Versioning HOT 3
- [Q] Possible to merge overlapping tiles of a multi-class discrete model output using max strategy? HOT 3
- `mode='drop'` produces wrong tiling with integer overlap
- Integer overlap calculation does not take channel dimension into account
- Cannot import Tiler after installing the package HOT 3
- window function normalization HOT 3
- [IDEA] Automatically calculated tile shape for specified mosaic shape
- [IDEA] PyTorch Dataset Tiler
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from tiler.