Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

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

Closed
1 task done
DAAworld opened this issue Apr 11, 2024 · 6 comments

Comments

@DAAworld
Copy link

Is there an existing issue for this?

  • I have searched the existing issues

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

@junjiejiangjjj
Copy link

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.

@codingjaguar
Copy link
Collaborator

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.

@listento123
Copy link

May I ask if the code link for the first version using VGG cannot be found? Is there still a link available

@listento123
Copy link

Is there an existing issue for this?

  • I have searched the existing issues

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
May I ask if the code link for the first version using VGG cannot be found? Is there still a link available

@DAAworld
Copy link
Author

May I ask if the code link for the first version using VGG cannot be found? Is there still a link available

The code of first version was removed from master.You can find it from old branch.

@codingjaguar
Copy link
Collaborator

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.
Regarding image models, some of the best ones include Vision Transformer (ViT) but it really depends on your particular use case (e.g. if cross-modality of text-image search is needed).

Please let us know for any future questions.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

4 participants