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rentainhe avatar rentainhe commented on June 2, 2024 1

You can try to use the token span args to detect your specific objects, you can refer to here:

https://github.com/IDEA-Research/GroundingDINO#arrow_forward-demo

CUDA_VISIBLE_DEVICES={GPU ID} python demo/inference_on_a_image.py \
-c groundingdino/config/GroundingDINO_SwinT_OGC.py \
-p ./groundingdino_swint_ogc.pth \
-i .asset/cat_dog.jpeg \
-o logs/1111 \
-t "There is a cat and a dog in the image ." \
--token_spans "[[[9, 10], [11, 14]], [[19, 20], [21, 24]]]"
 [--cpu-only] # open it for cpu mode

This will help u to reduce the wrong predictions for some words.

from groundingdino.

kenhuang1964 avatar kenhuang1964 commented on June 2, 2024

Thanks @rentainhe! I'm wondering is there a method to work with all possible queries, including unseen queries?

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