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View Code? Open in Web Editor NEW基于tensorflow & tf-servering & flask 的图像检索
Home Page: https://icodingc.github.io/ImageRetrieval-tf/
基于tensorflow & tf-servering & flask 的图像检索
Home Page: https://icodingc.github.io/ImageRetrieval-tf/
你好,我是小白最近也在研究图像检索方面,如果说有100万张单样本图片,也就是没有类别标签的那种,如何设置输出节点数难道是100万吗?
请问是否方便提供一下数据集和其他不方便上传的文件呢?由于是新手,所以希望先用原始的数据集跑一遍程序,方便学习和改进。非常感谢!
您这个项目还是用的是tensorflow哪个版本? 0.5.0吗?
你好 请教一下看你的提取特征是直接用imagenet在inceptionV3上做分类训练得到的模型来提取特征的。这里有个问题想请教一下:
1.做图像搜索的话,如果是拿自己的数据集进行分类训练那么应该分多少类才合适呢,如果数据集不大,人工分类一下几十上百类还是可以接受的,但 比如我得数据集非常大的,细分类别可能会达到几千上万类别 这样呢?
2.做图像搜索是将之前训练的数据库提取特征打包成数据库后,然后对上传的图片也进行提取特征从数据库中找到最相似的图像, 这里数据库肯定是不断增加的 ,那么对于之前的模型是不是过段时间就要重新训练呢(比如新增加了一倍的新图像)
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