Comments (6)
这个实现起来很简单的,我后续加上,你也可以先实现。
就是给一个图像x
,用训好的网络提取它的特征f(x)
,然后对gallery
集的每一张图像y_i
也提取特征f(y_i)
,计算f(x)
和每一个f(y_i)
的欧氏距离,对距离从小到大排序就可以得到一个排序列表,然后把这些图像显示出来就好了。
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train.py
在训练结束的时候会对测试集进行测试的。你也可以每隔几个epoch测试一次。
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我的意思是比较直观的,比如我扔一张图片进去,它能返回找到的类似图片的名字或者直接显示图片
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谢谢
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@Tz-MacWang,我提供了测试的demo,可以显示排序列表,直观看出行人检索的效果。
from alignedreid-re-production-pytorch.
谢谢
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