Deploying an object detection application to the cloud using Kubernetes and Helm

• pipeless

  24 647 9.7 Rust

  An open-source computer vision framework to build and deploy apps in minutes

  

helm install pipeless . --set worker.application.git_repo="https://github.com/pipeless-ai/pipeless.git",worker.application.subPath="examples/onnx-yolo",worker.plugins.order="draw",worker.inference.model_uri="file:///app/yolov8n.onnx" --set worker.replicaCount=4

• pipeless

  7 104 10.0 Python

  Discontinued An open-source computer vision framework to build and deploy apps in minutes without worrying about multimedia pipelines [Moved to: https://github.com/pipeless-ai/pipeless] (by miguelaeh)

  

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• pipelessassets

  1 - -

• k3s

  292 26,483 9.6 Go

  Lightweight Kubernetes

  

Before deploying our application with Helm, we need a Kubernetes cluster. There are many options to deploy a Kubernetes cluster. You can use Minikube to do it locally, K3s or you can create a cluster in AWS, Azure or Google Cloud.

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