cellmap_flow.dashboard.routes.models

Attributes

`logger`
`models_bp`

Functions

`get_model_config_types`()	Get available ModelConfig subclasses and their parameter metadata
`create_model_config`()	Create a ModelConfig instance from user-provided parameters
`get_huggingface_models`()	Get available models from Hugging Face (uses cache if available)
`refresh_huggingface_models_route`()	Force refresh the Hugging Face models cache
`get_bioimage_models`()	The BioImage Model Zoo's models (cached): bioimage_catalog.list_bioimage_models.
`refresh_bioimage_models_route`()	Fetch the zoo's index again.
`submit_models`()	Run the models the Models tab has ticked (a SubmitModels), and stop
`job_logs`()	The inference jobs' own output, so a failure can be read here.
`gpu_queues`()	Which GPU queues are open and how busy, for the queue picker.
`get_server_config`()	Get current server configuration.
`export_config`()	Export the dashboard's current live config (models, normalization,
`update_server_config`()	Update server configuration and save to cache.

Module Contents

cellmap_flow.dashboard.routes.models.logger

cellmap_flow.dashboard.routes.models.models_bp

cellmap_flow.dashboard.routes.models.get_model_config_types(): Get available ModelConfig subclasses and their parameter metadata

cellmap_flow.dashboard.routes.models.create_model_config(): Create a ModelConfig instance from user-provided parameters

cellmap_flow.dashboard.routes.models.get_huggingface_models(): Get available models from Hugging Face (uses cache if available)

cellmap_flow.dashboard.routes.models.refresh_huggingface_models_route(): Force refresh the Hugging Face models cache

cellmap_flow.dashboard.routes.models.get_bioimage_models(): The BioImage Model Zoo’s models (cached): bioimage_catalog.list_bioimage_models.

cellmap_flow.dashboard.routes.models.refresh_bioimage_models_route(): Fetch the zoo’s index again.

cellmap_flow.dashboard.routes.models.submit_models(): Run the models the Models tab has ticked (a SubmitModels), and stop the others: services.launch.update_run_models. A zoo model that needs a voxel size and was given none, or a Cellpose model without one, is a 400, and nothing changes.

cellmap_flow.dashboard.routes.models.job_logs()

The inference jobs’ own output, so a failure can be read here.

Without this, a server that dies on startup or 500s on every chunk says nothing in the dashboard – the traceback is in the LSF job’s output on a cluster node, and reading it means logging in and running bpeek.

cellmap_flow.dashboard.routes.models.gpu_queues()

Which GPU queues are open and how busy, for the queue picker.

Polled about once a minute by the models tab; the underlying LSF query is cached server-side, so this is cheap to call.

cellmap_flow.dashboard.routes.models.get_server_config(): Get current server configuration.

cellmap_flow.dashboard.routes.models.export_config(): Export the dashboard’s current live config (models, normalization, postprocessing, queue/charge_group) as a downloadable YAML file that can be reloaded later with cellmap_flow yaml.

cellmap_flow.dashboard.routes.models.update_server_config(): Update server configuration and save to cache.