TensorRT-Alpha

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Visualization

Introduce

This repository provides accelerated deployment cases of deep learning CV popular models, and cuda c supports dynamic-batch image process, infer, decode, NMS.
There are two ways to compile model(pth or onnx):

pth -> trt

coming soon.

pth -> onnx -> trt:

[i]. According to the network disk provided by TensorRT-Alpha, download ONNX directly. weiyun or google driver
[ii]]. Follow the instructions provided by TensorRT-Alpha to manually export ONNX from the relevant python source code framework.

Update

2023.01.01 🔥 update yolov3, yolov4, yolov5, yolov6
2023.01.04 🍅 update yolov7, yolox, yolor
2023.01.05 🎉 update u2net, libfacedetection
2023.01.08 🚀 The whole network is the first to support yolov8
2023.01.20 update efficientdet, pphunmanseg

Installation

The following environments have been tested：

Ubuntu18.04

cuda11.3
cudnn8.2.0
gcc7.5.0
tensorrt8.4.2.4
opencv3.x or 4.x
cmake3.10.2

Windows10

cuda11.3
cudnn8.2.0
visual studio 2017 or 2019 or 2022
tensorrt8.4.2.4
opencv3.x or 4.x

Python environment(Optional）

# install miniconda first
conda create -n tensorrt-alpha python==3.8 -y
conda activate tensorrt-alpha
git clone https://github.com/FeiYull/tensorrt-alpha
cd tensorrt-alpha
pip install -r requirements.txt

Installation Tutorial：

Quick Start

Ubuntu18.04

set your TensorRT_ROOT path:

git clone https://github.com/FeiYull/tensorrt-alpha
cd tensorrt-alpha/cmake
vim common.cmake
# set var TensorRT_ROOT to your path in line 20, eg:
# set(TensorRT_ROOT /root/TensorRT-8.4.2.4)

start to build project: For example:yolov8

Windows10

图文详细版：Windows10环境配置

Onnx

At present, more than 30 models have been implemented, and some onnx files of them are organized as follows:

model	weiyun	google driver
yolov3	weiyun	google driver
yolov4	weiyun	google driver
yolov5	weiyun	google driver
yolov6	weiyun	google driver
yolov7	weiyun	google driver
yolov8	weiyun	google driver
yolox	weiyun	google driver
yolor	weiyun	google driver
u2net	weiyun	google driver
libfacedetection	weiyun	google driver
facemesh	weiyun	google driver
pphumanseg	weiyun	google driver
efficientdet	weiyun	google driver
more...(🚀: I will be back soon!)