Comments (12)
Hi @caicj15,
Thank you for your interest in our work! We are excited to share that the code, models, demo, and data will be released soon—expect them in the coming weeks. Please stay updated!
from groundinglmm.
Thank you for your interest and patience. Please accept our apologies for the delay in releasing the code and data; our ongoing commitments to PhD courses have required substantial focus recently. We are working on it and plan to release it in approximately two weeks from now.
Thank you for your understanding and continued interest.
from groundinglmm.
Hi @zhszysrh,
Thank you for your interest in our work. All the relevant codes and data will be released. Stay tuned as we are working on it. Thanks!
from groundinglmm.
Very valuable work! Looking forward to your code and data releases!
from groundinglmm.
looking forward the updates!
from groundinglmm.
Will the relevant code of the automatic annotation process and the SG generated in the process also be open source?
from groundinglmm.
Super excited to see it. Results look great. Would be great to have some well-commented training/fine-tuning code as I have some ideas I'd like to experiment with
from groundinglmm.
Any update on releasing the code and model weights? The demo looks impressive!
from groundinglmm.
nice work, waiting the code and data!!
from groundinglmm.
Very valuable work! Looking forward to your code and data releases!�
from groundinglmm.
Hi @MSC19950601, @yangcong356, @chenjun2hao, @Gutianpei, @michaeljelly, @QinghongLin, @caicj15,
Thank you for your interest in our work. Please note that we have released the training and evaluation codes of GLaMM along with the pretrained models. Thank You.
from groundinglmm.
We are pleased to announce the release of our dataset and the code for the automatic annotation pipeline. You can access the dataset here and find details on the annotation pipeline here.
Please let us know if you have any questions. Thank you.
from groundinglmm.
Related Issues (20)
- Grand-env HOT 2
- About GranD Pre-training Dataset HOT 2
- the demo caption is very simple HOT 1
- Question about Output Quality Difference Between Local and Online Demo for MBZUAI/GLaMM-FullScope HOT 3
- A bug in region captioning evaluation scripts HOT 1
- An error is reported when running eval HOT 5
- Fluctuate results on RefCOCO Family when evaluating the referring expression segmentation. HOT 1
- Running GranD Automated Annotation pipeline from scratch HOT 1
- local llm interface for glamm HOT 1
- 3D implementation of GLaMM HOT 2
- Can you provide a download link for the pth file of the SAM model? HOT 3
- About region caption HOT 2
- may i ask your total parameter?
- Some bugs in the GranD_ReferringSegm_ds.py
- Online Demo Down HOT 1
- Fine-tuning Grounded Conversation Generation (GCG) Task HOT 4
- token_positives HOT 2
- assertion error cur_len == total_len HOT 1
- can not install mmcv HOT 2
- Can not find file for glamm_conda_env.zip in the given Google Drive Link HOT 4
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from groundinglmm.