# infracv/rf-detr-cpp

<https://repo.masters-masters.com/en/repos/infracv/rf-detr-cpp>

[Home](https://repo.masters-masters.com/en) › [infracv](https://repo.masters-masters.com/en/owners/infracv) › [rf-detr-cpp](https://repo.masters-masters.com/en/repos/infracv/rf-detr-cpp)

infracv/rf-detr-cpp has 211 stars on GitHub. Its RepoMasters card: Prototype tier. Production-ready C++/TensorRT inference engine for RF-DETR. Object…

| Field | Value |
| --- | --- |
| Owner | [infracv](https://repo.masters-masters.com/en/owners/infracv) |
| Stars | 211 |
| Forks | 21 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | Apache-2.0 |
| Created | 2026 |
| Topics | cpp, instance-segmentation, object-detection, rf-detr, tensorrt, cuda, nvidia-gpu, nvidia-jetson, computer-vision, deployment |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [infracv/rf-detr-cpp](https://github.com/infracv/rf-detr-cpp) |

## Repository

Production-ready C++/TensorRT inference engine for RF-DETR. Object detection and instance segmentation with FP32/FP16/INT8 support. Optimized for NVIDIA GPUs, Jetson (Orin, AGX Thor).

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.