Comments (7)
Hi, the hugging-face model storage is ready now.
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we provide other google drive links:
vit_b
: ViT-B HQ-SAM model.vit_l
: ViT-L HQ-SAM model.vit_h
: ViT-H HQ-SAM model.
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as suggested by other github user kjerk, "get started if you are logged into a google account then the downloads may work fine even with high traffic. It's a mystery what the real limit is on drive"
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How can I use a pre-trained ViT-H HQ-SAM model
from sam-hq.
How can I use a pre-trained ViT-H HQ-SAM model
please follow the instructions here.
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These links are broken, again.
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please try the hugging face storage links
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Related Issues (20)
- When i tried to train the mode. There is a bug HOT 5
- Grounded HQ-SAM HOT 1
- Has anyone attempted to deploy SAM-Hq on CVAT (following the deployment of SAM)
- when i run train.py with one gpu and dataset that sam_hq used, the process stopped and didn't move HOT 5
- Tuning Segment for clothing
- some questions about training SAM_HQ HOT 2
- Question: Is it SAM-HQ model applicable for predicting segmentation mask for the input images without boxes, point or label? HOT 2
- The val_iou and val_boundary_iou is very low
- Multi-box input To use multi-box prompt inputs HOT 1
- dcm file imput
- dcm file input questions
- error in 'demo_hqsam_automatic_mask_generator.ipynb'
- Will a fast version be released like segment-anything-fast? HOT 3
- when use GroundingDINO as the detector HOT 3
- how to use multiple gpu?
- Questions about training class information.
- Text Prompt HOT 1
- May i ask if there is a way to use dcm image to train the model? If its available, what should i do. HOT 2
- the code of Light HQ-SAM vs MobileSAM on COCO using the FocalNet-DINO
- I want to ask if there is a way that i give the tif image and bbox label as my dataset HOT 1
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