Comments (3)
- In dictionary form, indices start from "0" (it is essential to start from 0 to accommodate caption/grounding data). Here is an example
- check https://github.com/longzw1997/Open-GroundingDino/blob/main/tools/v3det2odvg.py, which is the script that converts the coco format dataset to ogvd format.
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Maybe you need to contact the original author https://github.com/IDEA-Research/GroundingDINO
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Related Issues (20)
- question about training VG data HOT 2
- Question about ODVGdataset
- Results on COCO HOT 1
- Referring expression comprehension TASK?
- Issue in Setup of the code
- Inference device problem
- 训练过程中有关bbox的报错
- is bbox annotation required?
- 在object365数据集上训练处理text prompt 太长的问题 HOT 2
- BERT HOT 1
- 我应该怎么训练自己的数据集 HOT 1
- 如何从头开始预训练模型 HOT 1
- 碰到一个非常头疼的问题,根据odvg的数据集格式自制了一个数据集,一万多张图,配置好了可以进行训练,但是训练过程中一直没有精度,特别低总是0.00几,跑了几十个epoch也是这样,谁有碰到类似的情况吗?球球了,帮帮忙,跪谢跪谢! HOT 3
- I need to share multiple GPUs on a server with my colleagues, so how do I specify which GPUs to use for training when I am using them? HOT 1
- torch.cuda.OutOfMemoryError: CUDA out of memory
- I try to get AP per class. And I have 14 categories, Why does it output only 12 category AP? HOT 1
- VG数据集格式 HOT 1
- 模型训练结果后标签识别错误
- Training models on custom data sets, some questions!
- 验证部分的代码是不是有问题?我的验证集mAP全部显示为-1 HOT 2
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