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Update fixed README.md typo 

Update fixed README.md typo
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Dr. Artificial曾小健 2024-12-02 16:43:22 +08:00 committed by GitHub
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@ -68,7 +68,7 @@ PyTorch implementation and pretrained models for Grounding DINO. For details, se
- **Open-Set Detection.** Detect **everything** with language!
- **High Performance.** COCO zero-shot **52.5 AP** (training without COCO data!). COCO fine-tune **63.0 AP**.
- **Flexible.** Collaboration with Stable Diffusion for Image Editting.
- **Flexible.** Collaboration with Stable Diffusion for Image Editing.
@ -102,7 +102,7 @@ Marrying <a href="https://github.com/IDEA-Research/GroundingDINO">Grounding DINO
- We defaultly choose the boxes whose highest similarities are higher than a `box_threshold`.
- We extract the words whose similarities are higher than the `text_threshold` as predicted labels.
- If you want to obtain objects of specific phrases, like the `dogs` in the sentence `two dogs with a stick.`, you can select the boxes with highest text similarities with `dogs` as final outputs.
- Note that each word can be split to **more than one** tokens with different tokenlizers. The number of words in a sentence may not equal to the number of text tokens.
- Note that each word can be split to **more than one** tokens with different tokenizers. The number of words in a sentence may not equal to the number of text tokens.
- We suggest separating different category names with `.` for Grounding DINO.
![model_explain1](.asset/model_explan1.PNG)
![model_explain2](.asset/model_explan2.PNG)