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Releases: okunator/cellseg_models.pytorch

v0.1.18

03 Jan 10:27
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0.1.18 — 2023-01-03

Features

  • Add Multi-scale-convolutional-attention (MSCA) module (SegNexT).
  • Add TokenMixer & MetaFormer modules.

v0.1.17

29 Dec 11:40
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0.1.17 — 2022-12-29

Features

  • Add transformer modules
  • Add exact, slice, and memory efficient (xformers) self attention computations
  • Add transformers modules to Decoder modules
  • Add common transformer mlp activation functions: star-relu, geglu, approximate-gelu.
  • Add Linformer self-attention mechanism.
  • Add support for model intialization from yaml-file in MultiTaskUnet.
  • Add a new cross-attention long-skip module. Works with long_skip='cross-attn'

Refactor

  • Added more verbose error messages for the abstract wrapper-modules in modules.base_modules
  • Added more verbose error catching for xformers.ops.memory_efficient_attention.

v0.1.16

14 Dec 08:27
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0.1.16 — 2022-12-14

Dependencies

  • Bump old versions of numpy & scipy

v0.1.15

13 Dec 14:05
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0.1.15 — 2022-12-13

Features

  • Use the inferer class as input to segmentation benchmarker class

v0.1.14

01 Dec 16:24
2bd11ce
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0.1.14 — 2022-12-01

Performance

  • Throw away some unnecessary parts of the cellpose post-proc pipeline that just brought overhead and did nothing.

Refactor

  • Refactor the whole cellpose post-processing pipeline for readability.

  • Refactored multiprocessing code to be reusable and moved it under utils.

Features

  • Add exact euler integration (on CPU) for cellpose post-processing.

  • added more pathos.Pool options for parallel processing. Added ThreadPool, ProcessPool & SerialPool

  • add all the mapping methods for each Pool obj. I.e. amap, imap, uimap and map

v0.1.13

25 Nov 11:09
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0.1.13 — 2022-11-25

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.

v0.1.2

03 Nov 17:10
74814ab
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0.1.12 — 2022-11-03

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

v0.1.11

21 Oct 10:55
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0.1.11 — 2022-10-21

Removed

  • unnecessary torchvision dependency

v0.1.10

21 Oct 09:29
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0.1.10 — 2022-10-21

Removed

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

v0.1.9

21 Oct 08:36
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0.1.9 — 2022-10-21

Refactor

  • Moved saving utilities to FileHandler and updated tests.

Features

  • Added geojson saving support for inference