NanoNets' Image Classification Node.js SDK.
npm install @nanonets/image-classification
npm install @nanonets/image-classification
`
Use the NanoNets SDK
> NOTE: A fully working example using the SDK can be found in the example directory.
1. Import/require the Image Classification package.
`javascript
// ES Modules
import ImageClassification from "@nanonets/image-classification";
// CommonJS
const ImageClassification = require("@nanonets/image-classification");
`
2. Instantiate the Image Classification (IC) class.
`javascript
const ic = new ImageClassification(apiKey, modelId);
`
> NOTE:
>
> - The API Key can be found in the user's NanoNets Account section and Model ID can be found in the model's settings in the NanoNets web app.
> - Models need to be created and trained from the NanoNets web app before being able to make predictions.
3. Use the Image Classification API to get prediction results from the model(s).
Image Classification API
$3
- Class Instantiation (Constructor)
- Get Model Details
- Predict Using URLs
- Predict Using File
$3
`javascript
const ic = new ImageClassification(apiKey, modelId);
`
#### Parameters
- apiKey
- Type: String
- Required: True
- modelId
- Type: String
- Required: True
> NOTE:
>
> - Class Instantiation is mandatory.
> - The API Key can be found in the user's NanoNets Account section and Model ID can be found in the model's settings in the NanoNets web app.
> - API Keys have full access to the user's account. Please do not expose API Keys on the client.
> - Please note that compiling, obfuscating, minifying or bundling (for example in React.js, Angular, Vue.js, React Native, etc.) does not hide the API Key and it can still be extracted from the final application.
> - The API Key should only be known to the server code and all client requests to the API must go through a server.
$3
`javascript
await ic.getModelDetails();
`
Response example and other details
> The getModelDetails function returns a promise, so it needs to be awaited.
$3
`javascript
await ic.predictUsingUrls(urlArray);
`
#### Parameters
- urlArray
- Type: Array of Strings
- Required: True
Response example and other details
> The predictUsingUrls function returns a promise, so it needs to be awaited.
$3
`javascript
await ic.predictUsingFile(filePath);
`
#### Parameters
- filePath
- Type: String
- Required: True
Response example and other details
> The predictUsingFile` function returns a promise, so it needs to be awaited.