Comments (3)
timojl
commented on August 15, 2024
I'm not aware of any such implementation. What would be the advantage? I prefer using the CLIP code to Huggingface Transformers since the latter comes with several dependencies. However, implementing it should be straightforward by replacing the CLIP initialization here: https://github.com/timojl/clipseg/blob/master/models/clipseg.py#L86
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NielsRogge
commented on August 15, 2024
Hi,
See #18
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thedarkzeno
commented on August 15, 2024
Hi,
See #18
@NielsRogge
Great, I had implemented a version that supported de HFs models, but it's good to see an official implementation.
Will there be a training script with the transformers framework?
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Related Issues (20)
- image with mask prompt for one shot HOT 1
- Adding CLIPSeg to HuggingFace Transformers 🤗 HOT 6
- How to download PhraseCut.tar? HOT 1
- import file missing HOT 1
- Import error in pfe_dataset.py HOT 1
- How can we apply a few-shot using image with mask and text prompt HOT 1
- Fine-tune Clipseg HOT 1
- Can you provide an example script for this task - extracting clothes HOT 3
- Reproducing `uni-rd64-refined.pth` weights HOT 3
- Difference in PhraseCut images number HOT 1
- Missing imports in `Tables.ipynb` and `Visual_Feature_Engineering.ipynb` HOT 1
- How can i store dataset while im using train.py HOT 2
- About zero-shot experiment HOT 1
- Binder demo does not start HOT 2
- How to recognize instances in the image? HOT 1
- The datasets used to train the released model CIDAS/clipseg-rd64-refined HOT 1
- Weights for ViT-B/32 version of CLIPDensePredT HOT 5
- License of model weights HOT 1
- FileNotFoundError: [Errno 2] No such file or directory: './dataset_repository/PhraseCut.tar' HOT 2
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