Comments (6)
drilistbox
commented on June 11, 2024
where is the code?
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wondervictor
commented on June 11, 2024
@CVHub520 I'll check the exporting scripts and details soon. As for the vocabulary, you can define your own vocabulary/text prompts and input it in the text boxes. We adopt the COCO vocabulary as an example.
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wondervictor
commented on June 11, 2024
Hi @drilistbox, our code and models are available now!
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CVHub520
commented on June 11, 2024
@CVHub520 I'll check the exporting scripts and details soon. As for the vocabulary, you can define your own vocabulary/text prompts and input it in the text boxes. We adopt the COCO vocabulary as an example.
Thank you for your patient reply. However, based on the ORT running example you provided, it seems that the option of text prompts is not supported, and this function can only be applied on the huggingface's online demo at present.
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CVHub520
commented on June 11, 2024
Hello, @wondervictor, dear owner, excuse the interruption.
May I ask if there is any context available?
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wondervictor
commented on June 11, 2024
@drilistbox, @CVHub520 Hi all, we have updated the exporting scripts. You can have a try. If you have any questions, feel free to raise them.
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Related Issues (20)
- 为什么我用自己制作的coco数据集微调模型后，训练结果中的bbox_mAP_s一直为-1.000，其他数据都正常 HOT 6
- Hoping for some guidance in open set detection finetuning (Long post) HOT 2
- why?texts = [[t.strip()] for t in args.text.split(',')] + [[' ']] HOT 10
- onnx模型导出成功，但是运行推理失败。
- Training visualization
- installation is crazy ! HOT 8
- Region-Text Matching question
- 哪位大神帮我看看 按照大家的步骤来的 我真的不知道哪里出错了 。。。。。。。 HOT 2
- 小tips HOT 2
- 测试结果惨不忍睹 HOT 17
- Thanks for your work,excellent! some question about yolo-world finetune freeze, glip Pseudo label and prompt. HOT 1
- the question about image_demo HOT 2
- I would like to ask how it uses YOLOv8 as the backbone in his code, and specifically in which Python file the forward computation for the backbone is performed? HOT 1
- yoloworld模型能否在Flickr30K Entities数据集上评估他的Phrase Grounding能力？就像GLIP模型那样 HOT 1
- About Pretrain Data's url.
- Question about onze-shot inference with image prompts HOT 1
- CC3M pretrain data HOT 4
- Abount CC3M Pseudo Annotations use HOT 2
- How to use zero-shot ability on Reparameterized YOLO-World?
- 微调结果上V2和V1差别很大 HOT 2
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