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

Attributes

finetune_bp

Package Contents

cellmap_flow.dashboard.routes.finetune.finetune_bp