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这个仓库历史上已经有了3版本图搜图的代码,哪个版本的效果会好点,区别是什么? #1286
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The data used by others to train the model may be different from your data, so you need to test it with real data to determine the effect. If the effect isn't good enough, you should consider using your data for training. |
The image embedding is a scattered and fast evolving space. Some of the latest popular models includes CLIP and ViT but not limited to them. And this can change very fast so we couldn't give always up-to-date suggestion. You can check the model description and feedback in communities such as HuggingFace. |
May I ask if the code link for the first version using VGG cannot be found? Is there still a link available |
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The code of first version was removed from master.You can find it from old branch. |
Thanks for reporting the issue. What's mentioned in the issue are out-of-date demos. We have developed a new version of image search example in https://github.com/milvus-io/bootcamp/blob/master/bootcamp/tutorials/quickstart/image_search_with_milvus.ipynb, utilizing the latest available open-source models and the just released easy-to-install Milvus Lite (https://github.com/milvus-io/milvus-lite). Let us know how it works for you. Please let us know for any future questions. |
Is there an existing issue for this?
Is your feature request related to a problem? Please describe.
https://github.com/milvus-io/bootcamp/tree/master/applications/image/reverse_image_search
^
这个是最新的搜图。
https://github.com/milvus-io/bootcamp/tree/1.0/solutions/image_search2
^
这个是第二版用的是ResNet50模型。
还有一版用的是VGG16模型。这三个用的图像embedding的区别是什么呢?
Describe the solution you'd like
No response
Describe alternatives you've considered
No response
Anything else?
No response
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