'How can I create an endpoint for yolov5 inference in AWS sagemaker
I've trained yolov5 to detect a custom object, now I have to deploy it on AWS sagemaker, for that I need to create an endpoint for inference, I've seen some tutorials on how to create endpoints on AWS but I don't know how to do it for yolov5 , can someone help me please ?
Solution 1:[1]
To deploy a model such as yolov5 on SageMaker, you will need to build a custom container, this approach is known as Bring Your Own Container (BYOC). You will need to install yolov5 on the Dockerfile and adopt your inference code in the predictor.py file. Take a look at the following example with the library Spacy, you can mimic everything except the Dockerfile and predictor.py which you need to adjust for installation and your inference code logic.
BYOC Example: https://github.com/RamVegiraju/SageMaker-Deployment/tree/master/RealTime/BYOC/PreTrained-Examples/SpacyNER
Files To Adjust: Dockerfile , predictor.py
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Ram Vegiraju |