DLMODEL_SOURCE(1) | User Commands | DLMODEL_SOURCE(1) |
dlmodel_source - create a structured deep learning model directory
dlmodel_source
dlmodel_source helps to create a structured deep learning (DL) model directory via CLI. Please refer to the specification section below for more details.
The structured directory will be created in /tmp.
Questions for collecting model information:
Example of a structured DL model directory:
<modelname-version> |-- <model-file> |-- <label-file> |-- <optional-config-files> |-- LICENSE # optional currently `-- meta.json
Metadata, meta.json, describes all the details in the structured model directory.
Example of meta.json
# Note: model directory name is fight-detection-1.0.0 { "name": "fight-detection", "version": "1.0.0", "inference-engine": "tensorflow", "model": "model.pb", "label": "labels.txt", # optional configs "config": { "<optional-key>": "<optional-value>", "<optional-key>": "<optional-value>", ... }, "checksums-sha256": { "model.pb": "<sha256sum>", "labels.txt": "<sha256sum>", "<optional-file-path>": "<sha256sum>", ... } }
dlmodel2deb(1)
October 2017 | DLMobelBox |