Releases: DC-analysis/ChipStream
Releases · DC-analysis/ChipStream
ChipStream 0.6.4
![](https://camo.githubusercontent.com/f82121a84086d60981ebae5607df39f78906f49913bd1638575239214ba7ad85/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f44432d616e616c797369732f4368697053747265616d2f302e362e342f746f74616c2e737667)
This is a maintenance release with added support for new DC table data.
- setup: bump dcnum from 0.25.3 to 0.25.5
ChipStream 0.6.3
![](https://camo.githubusercontent.com/0ef9e149b6b9d8d3650ab8f005b30a4ed99ad2e8c76a4bbc0e60f22502836ea8/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f44432d616e616c797369732f4368697053747265616d2f302e362e332f746f74616c2e737667)
This is essentially a maintenance release.
- ref: use dcnum methods to set environment variables for single threads
- setup: bump dcnum from 0.25.2 to 0.25.3
ChipStream 0.6.2
![](https://camo.githubusercontent.com/1f84d44b6bf21d01c56379d4886df89aba220fb284238353c7bc137ea9c6c457/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f44432d616e616c797369732f4368697053747265616d2f302e362e322f746f74616c2e737667)
This release supports numpy 2 and comes with minor speed-ups inherited from dcnum 0.25.2.
- docs: fix typo in CLI help page
- setup: bump dcnum from 0.25.0 to 0.25.2 (minor speed-up)
- setup: support numpy 2
ChipStream 0.6.1
![](https://camo.githubusercontent.com/3d3c21c0c65ef68c44ebc2d886f12356267529fc02440d95f243140310a65446/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f44432d616e616c797369732f4368697053747265616d2f302e362e312f746f74616c2e737667)
- enh: automatically detect flickering and apply offset correction
- setup: bump dcnum from 0.24.0 to 0.25.0 (flickering detection)
ChipStream 0.6.0
![](https://camo.githubusercontent.com/444a24467211634e5e294030715c7a65657360c5bcf3ec650959395032c1db8b/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f44432d616e616c797369732f4368697053747265616d2f302e362e302f746f74616c2e737667)
- feat: implement segmenter validation step in CLI and GUI
- feat: support PyTorch segmentation models
- fix: show correct default mask postprocessing arguments in CLI help
- setup: bump dcnum from 0.22.1 to 0.24.0 (internal basins)
- setup: change required pytorch version from 2.3 to 2.2 (hardware support)
ChipStream 0.6.0a3
![](https://camo.githubusercontent.com/9ae2bdca80a2f29735bd38af7f00c1ef84b38b79b07e73fb86780bbe0308869c/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f44432d616e616c797369732f4368697053747265616d2f302e362e3061332f746f74616c2e737667)
- feat: dcnum 0.24.0 introduces internal basins
ChipStream 0.6.0a2
![](https://camo.githubusercontent.com/a6a898d35131c4ce1a5c4815f9e0dbfbdf53d278a48db8b4944c50f46ce50349/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f44432d616e616c797369732f4368697053747265616d2f302e362e3061322f746f74616c2e737667)
- feat: implement segmenter validation step in CLI and GUI
- feat: support PyTorch segmentation models
- fix: show correct default mask postprocessing arguments in CLI help
- setup: bump dcnum from 0.22.1 to 0.23.3
- setup: change required pytorch version from 2.3 to 2.2 (hardware support)
ChipStream 0.5.0
![](https://camo.githubusercontent.com/9f5185b844cfd4a6ac1cea71b3ce9cdb69123074f20e74482ff4391d1173cd2e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f44432d616e616c797369732f4368697053747265616d2f302e352e302f746f74616c2e737667)
With an update of dcnum to version 0.22.1, this release improves efficiency and stability.
ChipStream 0.4.0
![](https://camo.githubusercontent.com/750899890abe33aedd959caa1971171242377aebf3c7cdc6840d1e63f38078ae/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f646f776e6c6f6164732f44432d616e616c797369732f4368697053747265616d2f302e342e302f746f74616c2e737667)
This release brings the power of basin features to ChipStream. By default, the output file is now a downstream dataset that uses the input file as a basin. As a result, pipeline runs are faster and output files are significantly smaller. To disable this feature, uncheck the "Exploit basins" checkbox in the GUI or use the "--drain-basins" option in the CLI.
- feat: CLI by default creates output file that contains no redundant
data and uses the input file as a basin; old behavior can be brought
back with the "--drain-basins" command-line option
- feat: implement same behavior for GUI as for CLI, with the
"Exploit basins" checkbox
- fix: show correct data PPID in CLI
- setup: bump dcnum from 0.19.1 to 0.20.1
- docs: add tool tips for most controls