Comments (4)
hanoonaR
commented on August 10, 2024
Hi @tuning12,
Thank you for your interest in our work. Regarding your query about VRAM usage: for optimal performance, our system requires a GPU with at least 24 GB of memory. This specification is detailed in our offline demo documentation for your reference.
Please feel free to reach out if you have any more questions. Thank you.
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tuning12
commented on August 10, 2024
Thank you for your explaination.
I have another question.
Is it possible to segment the specified parts with various masks described in text promt with various masks in the input image with various masks? How to set the prompt?
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hanoonaR
commented on August 10, 2024
Hi @tuning12,
I'm sorry, I didn't quite understand your question. Are you asking if it's possible to segment multiple parts of an image using by specifying them in the text prompt? Could you please clarify or provide an example?
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tuning12
commented on August 10, 2024
Sorry, it looks like my comment meets some problem.
For example, I would like to segment the eyes, hair, nose, mouth, neck in an image of human. Is it possible to segment the image with the text prompt?
It is OK to segment one specified part in the image, but how to segment all specified parts in one time with various masks?
Thank you. I hope I make it clear.
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Related Issues (20)
- 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
- Training on New Data HOT 2
- training V-L and L-P projection layer HOT 1
- Can not download the train.json file for visual genome
- How can I let the model receive multiple images at once HOT 1
- How should I train on the GranD dataset
- How can I finetune on combined tasks?
- Confusing referring segmentation results. HOT 1
- mmcv failed to install HOT 1
- AssertionError when running a demo
- Offline demo error
- Why is it that during the computation of segmentation results, the model() function is used instead of model.generate()? Wouldn't this mean that when predicting the next token, the information viewed is from the actual token rather than the predicted one?
- What are the ‘categories’ in the dataset used for? When would I use them?
- How to Construct a Ground-Truth Test Dataset
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