Comments (2)
Hi @hetong007,
Thank you for your interest in our work. The issue appears to be related to the environment. Please note that the code has been tested with torch==1.13.1+cu117
and transformers@git+https://github.com/huggingface/transformers.git@cae78c46
.
I attempted running the same examples using the above environment configuration and GLaMM-FullScope
model and the results are attached are as following,
To resolve the issue and reproduce our results, I recommend the following steps:
- Follow the instructions at https://github.com/mbzuai-oryx/groundingLMM/blob/main/docs/install.md to recreate the environment. Ensure that you have the correct versions of PyTorch and Transformers installed.
- Alternatively, you can download the conda environment directly from this Google Drive link and use it for running the demo and evaluations.
Please let me know if this resolves the issue. Thank you.
from groundinglmm.
Thanks @mmaaz60 , having reinstalled the correct version of transformers
i can reproduce the results with latest CUDA and pytorch.
from groundinglmm.
Related Issues (20)
- Release of pre-training instructions? HOT 9
- GLaMM-FullScope model generates only a single mask HOT 2
- The training losses in the GCG task HOT 1
- Empty output when inferring on the example image.
- GrandD Detailed Operation Guide HOT 7
- 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
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