FeiYull/TensorRT-Alpha
Deep learning CV model acceleration deployment using TensorRT for YOLO, EfficientDet, RT-DETR and other models.
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This repository provides deployment examples for deep learning computer vision models using TensorRT. It implements CUDA-based image preprocessing, model inference, decode, and NMS operations optimized for GPU. The typical conversion pipeline is torch model to ONNX to TensorRT engine. Supported models include the YOLO series (YOLOv3 through YOLOv8), EfficientDet, RT-DETR, U2Net, and libfacedetection.
Frequently asked
- What is FeiYull/TensorRT-Alpha?
- Deep learning CV model acceleration deployment using TensorRT for YOLO, EfficientDet, RT-DETR and other models.
- Is TensorRT-Alpha open source?
- Yes — FeiYull/TensorRT-Alpha is open source, released under the GPL-2.0 license.
- What language is TensorRT-Alpha written in?
- FeiYull/TensorRT-Alpha is primarily written in C++.
- How popular is TensorRT-Alpha?
- FeiYull/TensorRT-Alpha has 1.5k stars on GitHub.
- Where can I find TensorRT-Alpha?
- FeiYull/TensorRT-Alpha is on GitHub at https://github.com/FeiYull/TensorRT-Alpha.