Comments (2)
Hi, thanks for your attention! Open-source parsing code requires the approval process of the company. I recommend you directly use SceneGraphParser and refer section 3.2 of Tag2Text paper. Also, you can use GPT to extract tags from the text.
Welcome to provide feedback if you have more issues.
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Thanks!
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Related Issues (20)
- Demo: batch_inference.py: error: the following arguments are required: --checkpoint, --dataset HOT 2
- parse_tag HOT 2
- Woo, it's so amazing for your rapid implementation!您好,请问现在caption的接口有开放的计划吗? HOT 1
- Question about RAM HOT 1
- loss_tag is too large HOT 1
- Question about class thresholds HOT 2
- How can I repleace tag_list with my customize vocabulary HOT 2
- 模型训练问题 HOT 6
- Question when finetuning Tag2Text Configuration HOT 1
- 中文tag文本中很多尾缀有个空格,是有什么代表含义么? HOT 1
- How to fine-tune Tag2Text with custom tags? HOT 8
- Weights for SWIN_B/SWIN_T HOT 2
- Wrong pre-trained weights for image encoder HOT 2
- available images for trained data HOT 2
- 是否有训练tiny版本的RAM++可以开源使用呢,现有模型如果太大,如果只有tagging的能力,对比多模态大模型的理解优势是不是不明显 HOT 2
- Tags categories HOT 1
- Number of tags and class_num is different by 1 HOT 2
- Visualization Map RAM
- 请问如何使用预训练模型进行微调,增加了一个类别 HOT 1
- Concat label embed RAM++ HOT 5
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