BMW-YOLOv4-Inference-API-CPU
No-code object detection inference API using YOLOv4 and YOLOv3 with OpenCV
GraphCanon updated Aug 14, 2026 · GitHub synced Aug 14, 2026
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Decision brief
BMW-YOLOv4-Inference-API-CPU provides an inference API for object detection using deep neural networks with YOLOv4 and YOLOv3 models, accessible via REST API, optimized for CPU.
Good fit when
- When you need a no-code solution for deploying object detection APIs leveraging either YOLOv4 or YOLOv3 models.
- For environments where GPU resources are limited or non-existent, as this tool maximizes CPU performance.
Avoid when
- If your deployment requires real-time processing capabilities that can only be achieved with GPU acceleration.
- When the specific use case demands customization of neural networks beyond what YOLOv4 and YOLOv3 can offer.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (1507d since push)
- As of Aug 14, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 14, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
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Install
pip install BMW-YOLOv4-Inference-API-CPUHow it fits your stack(1)
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Overview
An inference server built on Docker to perform object detection using deep neural networks, specifically YOLOv4 and YOLOv3 models.
Capability facts
- Languages
- python
Source: github.language · Aug 14, 2026
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README
Install prerequisites Ubuntu Use the following command to install docker on Ubuntu: Windows 10 To install Docker on Windows, please follow the link. P.S: For Windows users, open the Docker Desktop menu by clicking the Docker Icon in the Notifications area. Select Settings, and th...
For agents
This page has a .md twin and JSON over the API.