Observed since 21 Oct, 10:21 UTC
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Rigid registration algorithm for generating training/testing data for transfer function model
Rigid registration algorithm for generating training/testing data for transfer function model
.tiff confocal/fluorescent microscopy images, outputting cropped images containing their mutual field of view.yaml fileIn console (after installation):
run_alignment --config_path `path/to/config/file.yaml`
Stable Release: pip install aics_tf_registration
Development Head: pip install git+https://github.com/AllenCell/aics_tf_registration.git
For full package documentation please visit AllenCell.github.io/aics_tf_registration.
In order for the registration algorithm to produce accurate results, the images must have the following requirements:
.tif or .tiff format.Free software: Allen Institute Software License
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.1.1 | 23 Nov 2020 | 25 |
This describes our collected data; it is not a security assessment.
Shared repository data · GitHub
Observed since 21 Oct, 10:21 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:cc807c49176b6da272f628738b59bce704480a3d2a323d1e46cba9f23f58b5cd