Home Articles Books Search About
日本語
Building an Object Detection API Using AWS Lambda (Flask + YOLOv5)

Building an Object Detection API Using AWS Lambda (Flask + YOLOv5)

Overview We build an object detection API (Flask + YOLOv5) using AWS Lambda. By building a machine learning inference model using AWS Lambda, we aim to reduce costs. The following article was used as a reference. https://zenn.dev/gokauz/articles/72e543796a6423 Updates to the repository contents and additions of how to use it from API Gateway have been made. Registering Functions on Lambda Clone the following GitHub repository. git clone https://github.com/ldasjp8/yolov5-lambda.git Running Locally Next, create a virtual environment using venv and install the modules. ...

How to Use a Flask-Based YOLOv5 Model Repository with ECR and AWS App Runner

How to Use a Flask-Based YOLOv5 Model Repository with ECR and AWS App Runner

This article introduces an example of building an object detection API using AWS App Runner and YOLOv5. Amazon ECR I registered the following repository, which publishes a YOLOv5 model using Flask, to the Amazon ECR (Elastic Container Registry) public registry. https://github.com/robmarkcole/yolov5-flask https://gallery.ecr.aws/b8m8i5m3/yolov5-flask I made some modifications to the source code from the original repository. The forked repository is here: https://github.com/ldasjp8/yolov5-flask Below, I will explain how to use this image with App Runner as an example. ...