EVF-SAM
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Official code of "EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model"
ImportError: Failed to map segment from shared object for _C.so 描述: run the code: `python demo_video.py segmentation/evf-sam2-multitask` ImportError: /EVF-SAM/model/segment_anything_2/sam2/_C.so: failed to map segment from shared object I have successfully compiled...
Dear authors, Thank you so much for your amazing work. In the process of using your model I realized that in case I write a prompt with the object that...
Dear authors, Thanks for releasing the updated checkpoints for multi-task segmentation! I tried out the semantic level segmentation demo, and the results are greatly improved. I was wondering if you'd...
Nice work of extending sams ability to text guidied! We have used your evfsam1 as our baseline to a new area and showd a signifcant performance. However, when we finetuned...
Can you share the training code with me? Thanks!
Thank you for your efforts. Could you please make the training code public? I appreciate it!
As mentioned in [SAM-2 Issue 85](https://github.com/facebookresearch/segment-anything-2/issues/85), there are modules named "gamma" in [SAM-2's memory encoder](https://github.com/facebookresearch/segment-anything-2/blob/57bc94b7391e47e5968004a0698f8bf793a544d1/sam2/modeling/memory_encoder.py#L97), which is conflict with [transformers](https://github.com/huggingface/transformers/blob/main/src/transformers/modeling_utils.py#L698). (transformers forbid module names "gamma" or "beta") To solve this...
Thanks for your codes and I have finished the single-class segmentation. Now I want the multi-class segmentation tasks can be supported, where should the modifications be made? I tried to...
Hello, Thank you for your work and sharing it, really appreciated. I've tried it for accurate face detection, but the results are not as good as I would expect. Some...
Hi thanks for your great work, exploring BEIT as an alternative to CLIP. I find it very well motivated in the paper, but I struggle to reproduce the BEIT3 results...