TODO: Explain the rationale behind checkpoints, and expand each section.
List the checkpoints available on the system:
$ lumi checkpoint list ================================================================================ | id | name | alias | source | status | ================================================================================ | 48ed2350f5b2 | Faster R-CNN w/COCO | accurate | remote | NOT_DOWNLOADED | | e3256ffb7e29 | SSD w/Pascal VOC | fast | remote | NOT_DOWNLOADED | ================================================================================
Inspect a checkpoint:
$ lumi checkpoint info accurate
Faster R-CNN w/COCO (48ed2350f5b2, accurate)
Base Faster R-CNN model trained with the full COCO dataset.
Model used: fasterrcnn
Dataset information
Name: COCO
Number of classes: 80
Creation date: 2018-03-21T20:04:59.785711
Luminoth version: v0.1.0
Source: remote (NOT_DOWNLOADED)
URL: https://github.com/tryolabs/luminoth/releases/download/v0.0.3/48ed2350f5b2.tar
Refresh the remote checkpoint index:
$ lumi checkpoint refresh Retrieving remote index... done. 2 new remote checkpoints added.
Download a remote checkpoint:
$ lumi checkpoint download accurate Downloading checkpoint... [####################################] 100% Importing checkpoint... done. Checkpoint imported successfully.
Create a checkpoint:
$ lumi checkpoint create config.yml -e name='Faster R-CNN with cars' -e alias=cars Creating checkpoint for given configuration... Checkpoint b5c140450f48 created successfully.
Edit a checkpoint:
$ lumi checkpoint edit b5c140450f48 -e 'description=Model trained with COCO cars.'
Delete a checkpoint:
$ lumi checkpoint delete b5c140450f48 Checkpoint b5c140450f48 deleted successfully.
Export a checkpoint into a tar file, for easy sharing:
$ lumi checkpoint export 48ed2350f5b2 Checkpoint 48ed2350f5b2 exported successfully.
Import a previously-exported checkpoint:
$ lumi checkpoint import 48ed2350f5b2.tar