cvsutils
Unofficial utility scripts for Microsoft Custom Vision Service.
Setup
pip install cvsutils
export CVS_ENDPOINT='<endpoint>'
export CVS_TRAINING_KEY='<training_key>'
export CVS_PREDICTION_KEY='<prediction_key>'
export CVS_PREDICTION_RESOURCE_ID='<resource_id>'Those keys and endpoint information can be found in the Custom Vision's settings page.
Available commands
# Show a list of projects
cvs_list_projects [--verbose]
# Create a new project
cvs_create_project <dataset_filepath> [--project_name <name>] [--domain_id <domain_id>]
# Download dataset from a project
cvs_download_project <project_id> <output_dir> [--filter_tag <tag_id> [<tag_id> ...]]
# Train a model
cvs_train_project <project_id> [--domain_id <domain_id>] [--type {multiclass,multilabel}] [--force]
# Export a model
cvs_export_model <project_id> <iteration_id> {tensorflow,coreml,onnx} [--output_filepath <filepath>]And
- cvs_add_images
- cvs_download_predictions
- cvs_evaluate_project
- cvs_get_domains
- cvs_predict_dataset
- cvs_predict_image
- cvs_remove_iteration
- cvs_show_project
- cvs_validate_dataset
To see the detailed help, please run the command with "-h" option.
Dataset file format
This tool uses the SIMPLE dataset format to upload/download datasets from Custom Vision Service.
For details, please see the simpledataset repository.
