Cellseg-models-pytorch

Latest version: v0.1.25

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0.1.13

Features

- Add option to return encoder features, and decoder features along the outputs in the forward pass of any model.

Fixes

- Turn the `cellpose` and `stardist` postproc dirs into modules.
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0.1.12

Performance

- Reverse engineered the `stardist` post-processing pipeline to python. Accelerated it with Numba and optimized it even further. Now it runs almost 2x faster than the original C++ verion.

Fixes

- Fix bug with padding in `SlidingWindowInferer`
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0.1.11

Removed

- unnecessary torchvision dependency

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0.1.10

Removed

- torch-optimizer removed from the optional dependency list. Started to cause headache.

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0.1.9

Refactor

- Moved saving utilities to `FileHandler` and updated tests.

Features

- Added geojson saving support for inference

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0.1.8

Features

- Support to return all of the feature maps from each decoder stage.

- Add multi-gpu inference via DataParallel

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