BMW-TensorFlow-Inference-API-CPU
Object detection inference API using TensorFlow framework
GraphCanon updated Aug 14, 2026 · GitHub synced Aug 14, 2026
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Decision brief
BMW-TensorFlow-Inference-API-CPU utilises TensorFlow on CPU for object detection tasks, offering Docker container support to streamline deployment across environments.
Good fit when
- When you need a dedicated object detection model and have the infrastructure setup for Docker to run services on CPU.
- For teams that value Apache-2.0 licensing terms, seeking free and open-source solutions.
Avoid when
- Avoid if deep learning tasks require significant computation power that only a GPU can provide.
- Not suitable for projects looking to deploy on cloud services without Docker support, since this tool depends heavily on Docker setup details.
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
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install BMW-TensorFlow-Inference-API-CPUSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Repository providing an object detection inference API based on the TensorFlow framework for CPU usage. It includes Docker setup and instructions to run the service in various environments.
Capability facts
- Languages
- python
Source: github.language · Aug 14, 2026
Categories
Tags
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.