with Roboflow and Azure Storage?
Emit new event when a blob is deleted from a specified container in Azure Storage. See the documentation
Emit new event when a new blob is created to a specified container in Azure Storage. See the documentation
Emit new event when a new container is created in the specified Azure Storage account. 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
Creates a new container under the specified account. If a container with the same name already exists, the operation fails. See the documentation
Upload an image to a project on the Roboflow platform. See the documentation
Deletes a specific blob from a container in Azure Storage. See the documentation
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}`,
},
})
},
})
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
azure_storage: {
type: "app",
app: "azure_storage",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.azure_storage.$auth.oauth_access_token}`,
},
})
},
})