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View Code? Open in Web Editor NEW(ICCV 2023) Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
Home Page: https://arxiv.org/abs/2301.00805
(ICCV 2023) Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
Home Page: https://arxiv.org/abs/2301.00805
Hi everyone,
Is there anyone can reproduce accuracy scores in the paper?
I have tried to use 2 Nvidia Geforce 3090 but the scores were dropped by 5%.
How to achieve paper's accuracy?
Thanks.
Hi, can you tell me how to evaluate the performance of caption generation according to your code?
open_set里提供的coco_panoptic_open.py文件不支持bbox。
allowed_metrics = ['PQ']
for metric in metrics:
if metric not in allowed_metrics:
raise KeyError(f'metric {metric} is not supported')
The demo notebook fails with a cuda error, possibly relating to incorrect matrix shapes during multiplications. I'm using the exact same torch/cuda/mmcv/mmdet versions as listed in the README, on a Quaddro RTX 8000 GPU.
The stack trace I get after running the cell
result = inference_detector(model, img, with_caption=True, logging=True)[0]
is
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
Cell In[8], [line 2](vscode-notebook-cell:?execution_count=8&line=2)
[1](vscode-notebook-cell:?execution_count=8&line=1) # Predict segmentation results, as well as image captions
----> [2](vscode-notebook-cell:?execution_count=8&line=2) result = inference_detector(model, img, with_caption=True, logging=True)[0]
...
--> [360](~/miniforge3/envs/cgg/lib/python3.8/site-packages/torch/functional.py:360) return _VF.einsum(equation, operands)
RuntimeError: CUDA error: CUBLAS_STATUS_INVALID_VALUE when calling `cublasSgemmStridedBatched( handle, opa, opb, m, n, k, &alpha, a, lda, stridea, b, ldb, strideb, &beta, c, ldc, stridec, num_batches)
Have you encountered this before? And any way to fix this?
Great Job!
When will your group release the code?
I want to use this model as a baseline to generate pseudo labels for my task.
Hi, thanks for releasing your great work. However, when I run "python tools/train.py" to try to reproduce, an error appears as follows:
ImportError: cannot import name 'build_dataloader' from 'open_set.datasets'
It seems that the build_dataloader.py function is missing, could you kindly provide the missing file? Thanks a lot.
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