What do you want to automate
with Google Cloud Vision and DigitalOcean Spaces?
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Popular Ways to Connect Google Cloud Vision with DigitalOcean Spaces#
Popular Google Cloud Vision and DigitalOcean Spaces Actions#
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
Overview of Google Cloud Vision#
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.
Connect Google Cloud Vision#
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}`,
},
})
},
})
Overview of DigitalOcean Spaces#
DigitalOcean Spaces API permits you to manage object storage, allowing for the storage and serving of massive amounts of data. This API is great for backing up, archiving, and providing public access to data or assets. On Pipedream, you can use this API to automate file operations like uploads, downloads, and deletions, as well as manage permissions and metadata. You can integrate it with other services for end-to-end workflow automation.
Connect DigitalOcean Spaces#
import { S3 } from "@aws-sdk/client-s3";
import { ListBucketsCommand } from "@aws-sdk/client-s3";
export default defineComponent({
props: {
digitalocean_spaces: {
type: "app",
app: "digitalocean_spaces"
}
},
async run({ steps, $ }) {
console.log(this.digitalocean_spaces.$auth)
const s3Client = new S3({
forcePathStyle: false, // Configures to use subdomain/virtual calling format.
endpoint: `https://${this.digitalocean_spaces.$auth.region}.digitaloceanspaces.com`,
region: "us-east-1",
credentials: {
accessKeyId: this.digitalocean_spaces.$auth.key,
secretAccessKey: this.digitalocean_spaces.$auth.secret
}
});
const data = await s3Client.send(new ListBucketsCommand({}));
return data.Buckets;
},
})
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