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基于tensorflow & tf-servering & flask 的图像检索

Home Page: https://icodingc.github.io/ImageRetrieval-tf/

Shell 0.02% Python 5.45% C++ 0.39% JavaScript 84.91% CSS 8.74% HTML 0.50%

imageretrieval-tf's Introduction

基于TensorFlow以及TF-serving图像检索

1. 抽取特征extract_feature <br>

  • 这里没有训练网络，只是根据ImageNet上预训练Inception_v3模型抽取mixed_8x8x2048b层特征，然后sum_pooling到2048-d。
  • 如想得到更好的特征表示，可以参考DeepRank等文章根据数据集fine-tune训练网络。

2. 运行服务Serving <br>

  • 因为Tensorflow Serving 更新版本导致本项目不能使用。
  • 不过最新版本的Serving更容易学习使用，如感兴趣可以看下我写的其他例子client和exporter以及server

3. 一个web_demo基于Flask修改自VisualSearch

4. 本项目采用的是tensorflow 0.10.0rc0,而且可能不会再更新

下边是几个检索例子

imageretrieval-tf's People

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