R3live+PaddleYOLO同步建图和目标检测

1.硬件环境

显卡2080ti，nvidia驱动470.141.03
系统ubuntu18.04，cuda-11.1，TensorRT-7.2.1.6, opencv-3.4.16
Python IDE: Anaconda、Pycharm

2.paddleyolo

2.1 环境搭建

1.源码下载
git clone https://github.com/PaddlePaddle/PaddleYOLO.git

2.Conda环境创建
cd PaddleYOLO
conda create -n paddledetect python=3.7
pip install -r requirements.txt -i http://mirrors.aliyun.com/pypi/simple/

3.Pycharm中安装paddle
pip install common dual tight data prox -i https://mirrors.aliyun.com/pypi/simple/
pip install paddle -i https://mirrors.aliyun.com/pypi/simple/
pip install paddlepaddle-gpu -i https://mirrors.aliyun.com/pypi/simple/

下面是我这边pip安装的包，你可以参考下，主要看下paddlepaddle-gpu的版本：

astor==0.8.1
Babel==2.10.3
bce-python-sdk==0