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python_yolov3_final's Introduction

Torch_Yolo3

1、Anconda环境

https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/   # 下载Anaconda\
conda install pytorch=0.3.1 torchvision cuda80 -c pytorch   # 安装pytorch=0.3.1
conda install -c menpo opencv3
conda install --channel https://conda.anaconda.org/menpo opencv3   # 安装opencv

2、pip环境

(1)安装CUDA8.0   CuDnn6
(2)安装opencv3.4.1
(3)安装pytorch （python3.5）
  sudo pip3 install http://download.pytorch.org/whl/cu80/torch-0.3.1-cp35-cp35m-linux_x86_64.whl
  sudo pip3 install torchvision

conda/pip安装pytorch 0.3.1教程(mac/windos/linux) : https://ptorch.com/news/145.html

采用了《检测》+《跟踪》+《单目测距》等技术，实现了 “ADAS 辅助驾驶系统” 。

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