Chunkflow

Latest version: v1.1.7

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1.0.4

Breaking Changes
- read-pngs parameter name change.
- rename several operators to make them more consistent: cutout --> read-precomputed, save --> write-precomputed, save-pngs --> write-pngs

Deprecations

Features
- add a plugin to inverse image / affinitymap intensity

Bug Fixes

Improved Documentation

1.0.3

Breaking Changes
- replace global_offset to voxel_offset to be consistent with neuroglancer info
- change operator name `fetch-task` to `fetch-task-from-sqs` to be more specific.

Features
- output tasks as a numpy array and save as npy file.
- work with slurm cluster
- fetch task from numpy array

Bug Fixes
- fetch task from numpy array

Improved Documentation

1.0.2

Features
- hdf5 file with cutout range

Bug Fixes
- fix neuroglancer visualization for segmentation.

Improved Documentation

1.0.1

Breaking Changes
- renamed custom-operator to plugin
Deprecations

Features
- new operator: normalize-intensity
- a plugin system with a median filter example
- new operator: normalize-intensity
- support cutout from hdf5 file
- new operator: cutout-dvid-target

Bug Fixes
- cutout whole volume in default

Improved Documentation

1.0.0

Breaking Changes
- rename inference backend `general` to `universal`

Deprecations

Features
- threshold operator

Bug Fixes

Improved Documentation

0.6.3

Breaking Changes
- remove convnet inference backend `pytorch-multitask` since it could be included by the `pytorch` backend.
Deprecations

Features
- a general convnet inference backend
- support combined convnet inference including semantic and affinity map inference.
- all-zero option for create-chunk operator and inference test in travis
- new operator to delete chunk for releasing memory

Bug Fixes
- log-summary operator will work for combined inference

Improved Documentation
- added corresponding documentation
- added new operator

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