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cars_classification

爬取汽车图片,然后使用resnet-50训练汽车的分类器。车辆总共1062类。

  • 汽车图片来自易车网。
  • 使用了R version 3.4.3
  • python3.5.2
  • 安装了GPU版本的mxnet,mxnet的相关教程可以访问mxnet教程.
  1. pictures_prepare.R是一个图片爬取,存储以及整理的过程,按照要求修改path即可。最后需要调用./mxnet/tools/im2rec.py生成lst和rec文件。

  2. train.ipynb是模型训练的过程。

  3. predict.py是模型预测的过程。

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