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BMW-YOLOv4-Inference-API-GPU

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BMW-InnovationLab/BMW-YOLOv4-Inference-API-GPU

This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

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Install

pip install BMW-YOLOv4-Inference-API-GPU
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Overview

This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

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python

Source: github.language · Jul 15, 2026

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README

Install prerequisites

Use the following command to install docker on Ubuntu:

chmod +x install_prerequisites.sh && source install_prerequisites.sh

Install NVIDIA Drivers (410.x or higher) and NVIDIA Docker for GPU by following the official docs


Build The Docker Image

In order to build the project run the following command from the project's root directory:

sudo docker build -t yolov4_inference_api_gpu -f ./docker/dockerfile .

Run The Docker Container

As mentioned before, this container can be deployed using either docker or docker swarm.

If you wish to deploy this API using docker, please issue the following run command.

If you wish to deploy this API using docker swarm, please refer to following link docker swarm documentation. After deploying the API with docker swarm, please consider returning to this documentation for further information about the API endpoints as well as the model structure sections.

To run the API, go the to the API's directory and run the following:

Using Linux based docker:

sudo NV_GPU=0 nvidia-docker run -itv $(pwd)/models:/models -v $(pwd)/models_hash:/models_hash -p <docker_host_port>:1234 yolov4_inference_api_gpu

The <docker_host_port> can be any unique port of your choice.

The API file will be run automatically, and the service will listen to http requests on the chosen port.

NV_GPU defines on which GPU you want the API to run. If you want the API to run on multiple GPUs just enter multiple numbers seperated by a comma: (NV_GPU=0,1 for example)

For agents

This page has a .md twin and JSON over the API.

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