cellmap_flow.dashboard.routes.finetune
The finetune tab’s routes, and the viewer-layer routes scripts use.
Importing the package puts every route on finetune_bp, which
dashboard.app registers. Each module has its own:
training: submit, restart, the job list, a job’s status and log (and its live stream), cancel and stop-early;annotation_core: the models to annotate for, a new annotation volume, and the user’s saved settings;annotation_sessions: listing earlier sessions and resuming one;yaml_crops: importing crops from a YAML, and reading a YAML file;overlay: an annotation volume’s layer, the annotated-regions boxes, and syncing the annotations from MinIO;good_regions: marking the current view as a region the model gets right;view_labels: labelling the view from the model’s prediction, or all background;instance_correction: instance-correction volumes;layers: adding, removing and renaming viewer layers.
Submodules
- cellmap_flow.dashboard.routes.finetune.annotation_core
- cellmap_flow.dashboard.routes.finetune.annotation_sessions
- cellmap_flow.dashboard.routes.finetune.blueprint
- cellmap_flow.dashboard.routes.finetune.common
- cellmap_flow.dashboard.routes.finetune.good_regions
- cellmap_flow.dashboard.routes.finetune.instance_correction
- cellmap_flow.dashboard.routes.finetune.layers
- cellmap_flow.dashboard.routes.finetune.overlay
- cellmap_flow.dashboard.routes.finetune.training
- cellmap_flow.dashboard.routes.finetune.view_labels
- cellmap_flow.dashboard.routes.finetune.yaml_crops
Attributes
Package Contents
- cellmap_flow.dashboard.routes.finetune.finetune_bp