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Questions about the generation of feature vectors for the dataset #9

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invisprints opened this issue Nov 25, 2024 · 2 comments
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@invisprints
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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.

@arivexu
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arivexu commented Dec 27, 2024

Hello,  你好,

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. 我仔细审查了您的存储库代码、问题以及与 DSMIL 数据生成部分相关的代码。但是,我在TCGA_LungCancer_CLIPFeat中找不到有关train_feats.npy的更多详细信息。

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.
我想问一下你的数据集中的四个重要文件 - train_feats.npytrain_corresponding_slide_label.npy , train_corresponding_slide_index.npy , 和 train_corresponding_slide_name.npy - 被生成。

Hi,
have you solved the problem with these four files yet?

@invisprints
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