https://github.com/cloud-annotations/object-detection-api-demo
https://github.com/cloud-annotations/object-detection-api-demo
Last synced: 8 months ago
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- Host: GitHub
- URL: https://github.com/cloud-annotations/object-detection-api-demo
- Owner: cloud-annotations
- License: mit
- Created: 2020-03-16T16:16:13.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-01-05T22:20:13.000Z (almost 5 years ago)
- Last Synced: 2025-02-16T14:56:31.669Z (10 months ago)
- Language: JavaScript
- Size: 39.1 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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
```
You should get the following output:
```
Starting to store the training-run '' ...
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
```
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=
SCORING_ENDPOINT=
```
Install the dependencies:
```
npm install
```
Run the app:
```
npm start
```