baoachun / tiny-tensorrt

A simple, efficient, easy-to-use Nvidia TensorRT wrapper for CNN, support c++ and python.

Note

This project is forked from tiny-tensorrt, thanks zerollzeng!

System Requirements

cuda 10.0+

TensorRT 6 or 7

For python api, python 2.x/3.x and numpy in needed.

Installation

Make sure you had install dependencies list above, if you are familiar with docker, you can use official docker

# clone project and submodule
git clone --recurse-submodules -j8 https://github.com/baoachun/tiny-tensorrt.git

cd tiny-tensorrt

mkdir build && cd build 

cmake .. -DTENSORRT_INCLUDE_DIR="your tensorrt include path"

make -j8

# Or use the python API. You should copy the so files from your_tensorrt_path/lib to /usr/local/lib/
cmake .. -DTENSORRT_INCLUDE_DIR="your tensorrt include path" -DBUILD_PYTHON=ON

Then you can intergrate it into your own project with libtinytrt.so and Trt.h, for python module, you get pytrt.so.

Docs

User Guide

Custom Plugin Tutorial (En-Ch)

If you want some examples with tiny-tensorrt, you can refer to tensorrt-zoo

For the windows port of tiny-tensorrt, you can refer to @Devincool's repo

Extra Support layer

• upsample with custom scale, under test with yolov3.
• yolo-det, last layer of yolov3 which sum three scales output and generate final result for nms. under test with yolov3.
• PRELU, under test with openpose and mtcnn.

About License

For the 3rd-party module and TensorRT, maybe you need to follow their license.

For the part I wrote, you can do anything you want.