RustedBytes/rf-detr-usls 开源项目中文解读：技术栈、适用场景与上手建议

项目介绍

RustedBytes/rf-detr-usls 是一个托管在 GitHub 上的开源项目，主要使用 Rust 编写，目前获得 17 个 Star、2 次 Fork。

仓库全名: RustedBytes/rf-detr-usls

README 摘要

RF-DETR with USLS This project shows how we can use SOTA object detection model [RF-DETR][2] with [USLS][1] to detect objects in a video using Rust and ONNX Runtime. I was testing the code on MacOS with M1 chip, but it should work on other platforms as well. Download onnxruntime Download base ONNX model Download large ONNX model Download a sample video Build Run GPU run Google Colab with logs…

完整内容见 GitHub 原始 README 或本页。

常见问题

rf-detr-usls 用什么语言开发？

主要使用 Rust 编写，目前有 17 个 Star。

如何获取 rf-detr-usls 的源码？

可以直接克隆仓库：git clone https://github.com/RustedBytes/rf-detr-usls.git，默认分支为 master；安装与运行步骤见仓库 README。

rf-detr-usls 最近还在维护吗？

仓库最近一次更新为 2025年4月13日，当前没有未关闭的 Issue；Star 数为 17，可作为社区活跃度的参考。

关于

RF-DETR + USLS: object detection using Rust

computer-vision cv ml object-detection rf-detr rust

17 Stars
2 Forks
1 Watching

描述取自 GitHub 官方 API，中文内容由 GitRead 中文社区编辑团队整理。

简要分析

热度分

价值分

活跃状态

活跃

GitHub

语言占比

Rust

贡献者

egorsmkv

RF-DETR with USLS

This project shows how we can use SOTA object detection model RF-DETR with USLS to detect objects in a video using Rust and ONNX Runtime.

I was testing the code on MacOS with M1 chip, but it should work on other platforms as well.

Download onnxruntime

wget https://github.com/microsoft/onnxruntime/releases/download/v1.20.1/onnxruntime-osx-arm64-1.20.1.tgz

tar xf onnxruntime-osx-arm64-1.20.1.tgz && rm onnxruntime-osx-arm64-1.20.1.tgz

Download base ONNX model

wget -O "base_rfdetr.onnx" "https://huggingface.co/onnx-community/rfdetr_base-ONNX/resolve/main/onnx/model.onnx"
wget -O "base_rfdetr_fp16.onnx" "https://huggingface.co/onnx-community/rfdetr_base-ONNX/resolve/main/onnx/model_fp16.onnx"

wget -O "model_q4f16.onnx" "https://huggingface.co/onnx-community/rfdetr_base-ONNX/resolve/main/onnx/model_q4f16.onnx"

# model_int8.onnx does not work:
# Error: Could not find an implementation for ConvInteger(10) node with name '/backbone/backbone.0/encoder/encoder/embeddings/patch_embeddings/projection/Conv_quant'

Download large ONNX model

wget -O "large_rfdetr.onnx" "https://huggingface.co/onnx-community/rfdetr_large-ONNX/resolve/main/onnx/model.onnx"

wget -O "large_rfdetr_fp16.onnx" "https://huggingface.co/onnx-community/rfdetr_large-ONNX/resolve/main/onnx/model_fp16.onnx"

Download a sample video

yt-dlp "https://www.youtube.com/watch?v=1_FV-e9mXN0"

Build

cargo build --release

Run

ORT_DYLIB_PATH=./onnxruntime-osx-arm64-1.20.1/lib/libonnxruntime.1.20.1.dylib ./target/release/rf-detr-usls --video-path test_video.mp4 --model-path model_q4f16.onnx

GPU run

Google Colab with logs:

https://colab.research.google.com/drive/1xcF8PzVkt6JvLBgF8H4fDRkqyKmrwLEO?usp=sharing

Google Colab with TensorRT on A100:

https://colab.research.google.com/drive/1-agoo5ll-hWEecWQAtO1FM39sqavJxph?usp=sharing

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