Image recognition through pre-trained REST & RPC API models.
Performs feature detection on a local or remote image file. See the documentation
Add or update a single record in your Pipedream Data Store
Detects logos within a local or remote image file. See the documentation
Add or update multiple records to your Pipedream Data Store
Detects text in a local image or remote image. See the documentation
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}`,
},
})
},
})
Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})