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Browse files- ZoomLDM-demo-dataset.py +11 -21
ZoomLDM-demo-dataset.py
CHANGED
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@@ -10,16 +10,16 @@ _N_EMBED = {
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"20x": 1,
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"10x": 4,
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"5x": 16,
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"
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"
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}
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_MAG_DICT = {
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"20x":
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"10x":
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"5x":
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"
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"
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}
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_FIXED_SSL_FEATURE_DIM_1 = 1024
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@@ -58,7 +58,7 @@ class TCGADataset(datasets.GeneratorBasedBuilder):
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VERSION = _DATASET_VERSION
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MAGNIFICATIONS = ["20x", "10x", "5x", "2.5x", "1.25x"]
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BUILDER_CONFIGS = []
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for mag_level_str in
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feature_shape = get_ssl_feat_shape(mag_level_str)
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builder_config_instance = MagnificationConfig(
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name=mag_level_str,
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@@ -88,26 +88,18 @@ class TCGADataset(datasets.GeneratorBasedBuilder):
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)
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def _split_generators(self, dl_manager):
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# of the original script when loading a local script file.
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# e.g., if script is at './zoomldm_data/ZoomLDM-demo-dataset.py',
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# self.base_path will be the absolute path to './zoomldm_data/'
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if not self.base_path:
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# This should not happen when loading a local script file directly
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raise ValueError("Dataset Builder's base_path is not set. Cannot locate local data.")
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original_script_dir = Path(self.base_path)
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mag_folder_name = self.config.data_dir
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# Construct the absolute path to the 'data/magnification_folder_name'
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# relative to the original script's directory.
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mag_data_abs_path = original_script_dir / "data" / mag_folder_name
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"mag_folder_abs_path": mag_data_abs_path,
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"mag_level": self.config.mag_level,
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},
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),
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@@ -127,10 +119,8 @@ class TCGADataset(datasets.GeneratorBasedBuilder):
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processed_feature = preprocess_features(ssl_feat_data)
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yield idx, {
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"image": str(img_path),
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"ssl_feat": processed_feature,
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"filename_img": img_filename,
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"filename_feat": feat_filename,
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"mag": _MAG_DICT[mag_level],
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}
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idx += 1
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"20x": 1,
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"10x": 4,
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"5x": 16,
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"2_5x": 64,
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"1_25x": 256,
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}
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_MAG_DICT = {
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"20x": 0,
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"10x": 1,
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"5x": 2,
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"2_5x": 3,
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"1_25x": 4,
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}
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_FIXED_SSL_FEATURE_DIM_1 = 1024
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VERSION = _DATASET_VERSION
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MAGNIFICATIONS = ["20x", "10x", "5x", "2.5x", "1.25x"]
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BUILDER_CONFIGS = []
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for mag_level_str in _MAG_DICT.keys():
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feature_shape = get_ssl_feat_shape(mag_level_str)
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builder_config_instance = MagnificationConfig(
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name=mag_level_str,
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)
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def _split_generators(self, dl_manager):
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original_script_dir = Path(self.base_path)
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mag_folder_name = self.config.data_dir
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mag_data_abs_path = original_script_dir / "data" / mag_folder_name
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"mag_folder_abs_path": mag_data_abs_path,
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"mag_level": self.config.mag_level,
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},
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),
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processed_feature = preprocess_features(ssl_feat_data)
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yield idx, {
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"image": str(img_path),
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"ssl_feat": processed_feature,
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"mag": _MAG_DICT[mag_level],
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}
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idx += 1
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