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Flask-PointNet

此版本为PointNet的Web实现，能对3D对象(off文件)可视化，以及预测类别。如果只需对ModelNet40off文件进行训练，预测类别，可参考此项目的Core版本。

快速部署

前提条件

  • 安装好相关库
  • 基于版本
Anaconda 2019.10
tensorflow 1.13.1
keras 2.2.4
flask 
pymysql
......

步骤

  • 解压数据

将ModelNet40解压在项目根目录

  • 数据准备(时间比较长)
python dataPrep.py
  • 训练
python train_cls.py
  • 构建数据库(先在mysql中创建一个数据库 flask，根据自己环境，在configs.py中修改参数)
python manage.py db init
python manage.py db migrate
python manage.py db upgrade
  • 将数据写入数据库(根据自己mysql帐号密码等修改)
python write2db.py
  • 启动服务
python app.py

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