Hello,
I carefully reviewed your repository code, issues, and the code related to the DSMIL data generation section. However, I could not find more detailed information about train_feats.npy in TCGA_LungCancer_CLIPFeat.
|
self.patch_corresponding_slide_label = np.load(os.path.join(feat_dir, "train_corresponding_slide_label.npy")) |
I would like to ask how the four important files in your dataset —
train_feats.npy,
train_corresponding_slide_label.npy,
train_corresponding_slide_index.npy, and
train_corresponding_slide_name.npy — were generated.
Hello,
I carefully reviewed your repository code, issues, and the code related to the DSMIL data generation section. However, I could not find more detailed information about
train_feats.npyinTCGA_LungCancer_CLIPFeat.TOP/Datasets_loader/dataset_TCGA_LungCancer.py
Line 199 in 8356b0d
I would like to ask how the four important files in your dataset —
train_feats.npy,train_corresponding_slide_label.npy,train_corresponding_slide_index.npy, andtrain_corresponding_slide_name.npy— were generated.