Imagga Image Recognition API provides solutions for image tagging & categorization, visual search, content moderation.
Emit new event when a batch of images has been processed for categorization, tagging, or color extraction.
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Assign a category to a single image based on its visual content. See the documentation
Analyzes a batch of images for categorization, tagging, or color extraction. See the documentation
The Imagga API is a powerful image recognition tool that enables you to automate the process of analyzing and tagging images. With its AI-driven capabilities, you can extract a wealth of information from visual content. It offers features such as categorization, color extraction, and auto-tagging, making it incredibly useful for building workflows that require image analysis.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
imagga: {
type: "app",
app: "imagga",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.imagga.com/v2/usage`,
auth: {
username: `${this.imagga.$auth.api_key}`,
password: `${this.imagga.$auth.api_secret}`,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});