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项目作者： shunk031

项目描述 ：
Chainer implementation of the paper "Xception: Deep Learning with Depthwise Separable Convolutions" (https://arxiv.org/abs/1610.02357).
高级语言： Python
项目地址: git://github.com/shunk031/chainer-Xception.git
创建时间： 2018-04-20T14:35:10Z
项目社区：https://github.com/shunk031/chainer-Xception
开源协议：
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chainer-Xception

This repository contains a Chainer implementation for the paper: Xception: Deep Learning with Depthwise Separable Convolutions (CVPR 2017, François Chollet).

Requirements

  • Chainer 4.0.0+
  • CuPy 4.0.0+

Use pretrained model

Download the pre-trained caffemodel from Baidu Cloud.

If pretrained_model is specified as xception.caffemodel, it automatically loads and converts the caffemodel from $CHAINER_DATASET_ROOT/pfnet/chainer/models/, where $CHAINER_DATASET_ROOT os set as $HOME/.chainer/dataset unless you specify another value by modifying the environment variable.

  1. Python 3.6.2 (default, Oct 31 2017, 12:23:24)
  2. Type 'copyright', 'credits' or 'license' for more information
  3. IPython 6.4.0 -- An enhanced Interactive Python. Type '?' for help.
  5. In [1]: from xception import Xception
  7. In [2]: model = Xception(pretrained_model='xception.caffemodel')
  8. Now loading caffemodel (usually it may take few minutes)

Reference