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centernet's Introduction

开发环境

  • Python 3.6

  • PyTorch v0.4.1.

  1. 创建一个虚拟环境并激活
# 创建一个虚拟环境
conda create --name CenterNet python=3.6
# 激活环境
conda activate CenterNet
  1. 安装 PyTorch
# 安装 pytorch0.4.1
conda install pytorch=0.4.1 torchvision -c pytorch
  1. 安装 COCOAPI
git clone https://github.com/cocodataset/cocoapi.git 
cd cocoapi/PythonAPI
make
python setup.py install --user
  1. git 项目
git clone https://github.com/FLyingLSJ/CenterNet.git
cd CenterNet
  1. 安装必要包
pip install -r requirements.txt
  1. 编译可形变卷积 (from DCNv2).
cd CenterNet/src/lib/models/networks/DCNv2
./make.sh
  1. [可选：如果想使用多尺度进行训练或者测试的话] 编译 NMS
cd CenterNet/src/lib/external
make
  1. 下载预训练模型（只针对目标检测）
cd CenterNet/models
sh download_model.sh
  1. 测试
python demo.py ctdet --demo ../images --load_model ../models/ctdet_coco_dla_2x.pth --debug -1

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