Deploy a trained model to get it ready to use within PowerAI Vision or a different program, such as IBM® PowerAI. Deploying a model creates a unique API endpoint based
on that model for inference operations.
To deploy the trained model, follow these steps:
- Click Models from the
menu.
- Select the model you want to deploy and click
Deploy.
- Specify a name for the model, and for models that were trained with
the Optimized for speed (tiny YOLO v2) model, choose the accelerator to
deploy to. You can choose GPU, CPU, or Xilinx FPGA - 16 bit (technology
preview).
GPUs are used as follows:
- Click Deploy. The Deployed
Models page is displayed. When the model has been deployed, the status column displays
Ready.
- Click the deployed model to get the API endpoint, to view details about the
model, such as the owner and the accuracy, and to test other videos or images against the
model. For information about using the API see Vision Service API documentation.
Note: When using the API, the smaller confidence threshold you specify,
the more results are returned. If you specify 0, many, many results will be returned because there
is no filter based on the confidence level of the model.
- If necessary, you can delete a deployed model. To delete a deployed model, click Deployed Models. Next,
select the model that you want to delete and click Delete. The trained model
is not deleted from PowerAI Vision.