with Zoho Catalyst and Roboflow ?
Detect or recognize objects in an image. See the documentation
Run inference on classification models hosted on Roboflow. See the documentation
Run inference on your object detection models hosted on Roboflow. See the documentation
Perform face detection and analysis on an image. See the documentation
Zoho Catalyst is a cloud-based backend for building and hosting serverless applications. With its API, you can create, read, update, and delete records in Catalyst Data Store, run Catalyst Functions, manage files in Catalyst File Store, and orchestrate various backend processes. Integrating Zoho Catalyst with Pipedream allows you to seamlessly connect these backend operations with other services and automate workflows. For example, you can trigger a function when you receive an email, process data from webhooks, or sync information between Zoho Catalyst and other platforms.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zoho_catalyst: {
type: "app",
app: "zoho_catalyst",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.zoho_catalyst.$auth.base_api_uri}/baas/v1/project`,
headers: {
"Authorization": `Zoho-oauthtoken ${this.zoho_catalyst.$auth.oauth_access_token}`,
},
})
},
})
The Roboflow API is a robust machine learning interface that allows developers to upload, annotate, train, and deploy computer vision models. Using Pipedream, you can create powerful, serverless workflows to automate tasks involving image and video processing. With the API, you can programmatically manage datasets, kick off model training, and utilize trained models to analyze new data.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
roboflow: {
type: "app",
app: "roboflow",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.roboflow.com/`,
params: {
api_key: `${this.roboflow.$auth.api_key}`,
},
})
},
})