with Nano Nets and Google Cloud Vision?
Performs feature detection on a local or remote image file. See the documentation
Detects logos within a local or remote image file. See the documentation
Detects text in a local image or remote image. See the documentation
The Nano Nets API offers machine learning capabilities to classify images, extract data, and automate processes with custom models. Through Pipedream's serverless platform, you can trigger workflows from various events, manipulate and route data from the Nano Nets API, and connect it to hundreds of other apps to automate complex tasks. Pipedream's built-in code steps also allow you to transform data, make HTTP requests, and handle logic right inside your workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
nano_nets: {
type: "app",
app: "nano_nets",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.nanonets.com/api/v2/OCR/Model/{your_model_id_here}`,
auth: {
username: `${this.nano_nets.$auth.api_key}`,
password: ``,
},
})
},
})
The Google Cloud Vision API allows you to analyze images in the cloud, harnessing Google's machine learning technology. You can detect and classify multiple objects, face and landmark detection, handwriting recognition, and image attributes. Combining this with Pipedream's serverless platform catalyzes the creation of automated workflows to process images, trigger actions, and integrate with other services seamlessly.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_cloud_vision_api: {
type: "app",
app: "google_cloud_vision_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_cloud_vision_api.$auth.oauth_access_token}`,
},
})
},
})