Comments (1)
Hi @eran88 - I edited the default architecture to be vit_xs
. In can also change the import statements to import your desired architecture.
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Related Issues (20)
- Some Questions HOT 1
- Getting raw patches after CLAM preprocessing HOT 5
- Issue with Attention Visualization HOT 2
- Some questions HOT 1
- Stochastic behavior when extracting the features for one image HOT 4
- Number of epochs required for finetuning HOT 1
- 'Weakly-Supervised Training' task - Issue with fast_cluster_ids.pkl file HOT 2
- Process of training subtyping task on custom WSIs dataset using provided pretrained model HOT 2
- cannot load pretrained model weights HOT 2
- Pretrained ViTWSI-4096 model HOT 2
- tar_patch_4096 with webdataset API HOT 2
- Recommended GPUs HOT 2
- Worse Performance in CAMELYON16 only
- Worse Performance in CAMELYON16 only HOT 5
- How can I get ’vits_tcga_pancancer_dino_pt_patch_features‘? HOT 1
- WSI preprocessing HOT 5
- Batch-wise extract features HOT 3
- Extracting features from 4096 x 4096 patches (M x L x D)
- Using the Features in CLAM HOT 2
- name 'get_patch_attention_scores' is not defined HOT 1
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