# tensorrt-zoo

**Repository Path**: rgbitx/tensorrt-zoo

## Basic Information

- **Project Name**: tensorrt-zoo
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-04-11
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<!--
 * @Author: zerollzeng
 * @Date: 2019-09-02 16:45:43
 * @LastEditors: zerollzeng
 * @LastEditTime: 2019-12-10 17:41:21
 -->
# This repo is no longer maintained

## tensorrt-zoo

common computer vision models and some useful tools base on [tiny-tensorrt](https://github.com/zerollzeng/tiny-tensorrt).

## Roadmap
- [x] openpose :fire::fire::fire: --- 2019.10.17
- [x] yolov3

## Quick Start
for run sample you need to install opencv and TensorRT

```bash
git clone --recursive https://github.com/zerollzeng/tensorrt-zoo.git
mkdir build && cd build && cmake -D PYTHON_API ON .. && make
```
for yolo3 sample see docs/yolov3.md
for openpose sample see docs/openpose.md


## System requirements
CUDA version >= 10.0 is fully test

TensorRT 6.0+, 5.x you need to reset old commit(not recommend)

OPENCV version >= 3.0, only use for read/write images and some basic image processing. so version 2.x might work but have not been tested.

## About License
most of the openpose post processing was copy and modify slightly from official openpose [repo](https://github.com/CMU-Perceptual-Computing-Lab/openpose),maybe you should distribute it under openpose's [license](https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/LICENSE), so as for some other code. for the other I wrote, You just DO WHAT YOU WANT TO.