Comments (3)
Hi, @Weiyun1025!
I've checked the results in All-Seeing, and its performance is quite good. Would you mind sharing the code of promptable GRiT?
Thanks in advance!
I've released an app for promptable GRiT https://github.com/xk-huang/Promptable-GRiT.
from grit.
Hi, @Weiyun1025!
I've checked the results in All-Seeing, and its performance is quite good. Would you mind sharing the code of promptable GRiT?
Thanks in advance!
from grit.
Hi, @Weiyun1025!
I've checked the results in All-Seeing, and its performance is quite good. Would you mind sharing the code of promptable GRiT?
Thanks in advance!I've released an app for promptable GRiT https://github.com/xk-huang/Promptable-GRiT.
Thank you for your interest in our work and for sharing the code!
To assess the performance of the GRiT model, we directly modified the code within this repository, so that we can input the ground truth boxes to the model and skip the post-processing steps for these boxes. As our objective is evaluation rather than deployment, we do not currently have a polished version of the code that is ready for release.
We believe that your code will be highly beneficial for others who are also interested in the GRiT model!
from grit.
Related Issues (17)
- Bug of corner case of proposals HOT 24
- Question about training on custom data HOT 1
- KeyError: 'object_description'
- No module named 'detectron2' HOT 2
- Support for Batch-Inference HOT 1
- Generate Caption on my own boxes HOT 1
- Installation instructions seem out of date HOT 1
- eval code HOT 1
- third_party project gitmodules HOT 1
- Questions about multi-node deepspeed launcher HOT 1
- Batch size Configuration HOT 1
- Question about the training time HOT 4
- Dense Captioning Evaluation on VG Dataset HOT 10
- Poor result in Densecap Evaluation HOT 6
- Willing to share the original annotations of Visual Genome dataset ? HOT 2
- Larger ViT backbone for dense captioning HOT 1
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