How can I provide a custom input image to the pretrained model and get output captions for the same?

[smitkoli18ce5005]

No description provided.

[RubickH]

You need to use a pre-trained faster R-CNN to extract the object features and put these features into my model.
The details of the pre-trained faster R-CNN can be found in the paper `Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering'.

[smitkoli18ce5005]

Thank You.

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On Thu, May 13, 2021 at 7:31 AM Yiqing Huang ***@***.***> wrote: You need to use a pre-trained faster R-CNN to extract the object features and put these features into my model. The details of the pre-trained faster R-CNN can be found in the paper `Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering'. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#4 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ASAQB2B2L22CB3X6RMYGJ23TNMXGRANCNFSM44YKHSCA> .