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Object Detection API Demo

Train a model

To train a deployable object detection model, run:

 cacli train --frameworkv 1.15 --script https://github.com/cloud-annotations/training/releases/download/v1.2.30/deployable.zip

Deploy the model

Once training has finished, run the following to store the model:

ibmcloud ml store training-runs <CACLI-MODEL-ID>

You should get the following output:

Starting to store the training-run '<CACLI-MODEL-ID>' ...
OK
Model store successful. Model-ID is '18510cf7-2a9b-4677-9280-b4604e2e10cb'.

Use the returned information to run the deploy command:

ibmcloud ml deploy 18510cf7-2a9b-4677-9280-b4604e2e10cb <CHOOSE-A-DEPLOYMENT-NAME>

You should get a response back with a scoring endpoint

Setup

Clone the repo:

git clone https://github.com/cloud-annotations/wml-api-demo
cd wml-api-demo

Create a .env file with the following information:

APIKEY=<YOUR-WML-APIKEY>
SCORING_ENDPOINT=<YOUR-SCORING_ENDPOINT>

Install the dependencies:

npm install

Run the app:

npm start

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