Datasets:
Size:
10K<n<100K
License:
splits
Browse files- tomatotest.py +28 -18
tomatotest.py
CHANGED
@@ -12,9 +12,9 @@ class CustomConfig(datasets.BuilderConfig):
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class RGBSemanticDepthDataset(GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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CustomConfig(name="all", version="1.0.0", description="
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CustomConfig(name="depth", version="1.0.0", description="depth"),
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CustomConfig(name="seg", version="1.0.0", description="segmentation"),
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] # Configs initialization
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BUILDER_CONFIG_CLASS = CustomConfig
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def _info(self):
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@@ -31,7 +31,6 @@ class RGBSemanticDepthDataset(GeneratorBasedBuilder):
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# Reference: https://github.com/dwofk/fast-depth/blob/master/dataloaders/dataloader.py#L8-L13
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f = io.BytesIO(bytes_stream)
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h5f = h5py.File(f, "r")
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print(type_dataset)
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left_rgb = self._read_jpg(h5f['rgb_left'][:])
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if type_dataset == 'depth':
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right_rgb = self._read_jpg(h5f['rgb_right'][:])
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@@ -56,21 +55,32 @@ class RGBSemanticDepthDataset(GeneratorBasedBuilder):
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SplitGenerator(
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name=Split.TRAIN,
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gen_kwargs={
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"archives": [dl_manager.iter_archive(archive) for archive in archives
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},
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),
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]
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def _generate_examples(self, archives):
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class RGBSemanticDepthDataset(GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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CustomConfig(name="all", version="1.0.0", description="load both segmentation and depth"),
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CustomConfig(name="depth", version="1.0.0", description="only load depth"),
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CustomConfig(name="seg", version="1.0.0", description="only load segmentation"),
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] # Configs initialization
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BUILDER_CONFIG_CLASS = CustomConfig
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def _info(self):
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# Reference: https://github.com/dwofk/fast-depth/blob/master/dataloaders/dataloader.py#L8-L13
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f = io.BytesIO(bytes_stream)
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h5f = h5py.File(f, "r")
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left_rgb = self._read_jpg(h5f['rgb_left'][:])
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if type_dataset == 'depth':
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right_rgb = self._read_jpg(h5f['rgb_right'][:])
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SplitGenerator(
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name=Split.TRAIN,
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gen_kwargs={
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"archives": [dl_manager.iter_archive(archive) for archive in archives],
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"split_txt": "train.txt"
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},
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),
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SplitGenerator(
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name=Split.VAL,
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gen_kwargs={
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"archives": [dl_manager.iter_archive(archive) for archive in archives],
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"split_txt": "val.txt"
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},
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),
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]
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def _generate_examples(self, archives, split_txt):
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with open(split_txt) as split_f:
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all_splits = split_f.read().split('\n')
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print(all_splits)
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for archive in archives:
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for path, file in archive:
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if path not in all_splits:
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continue
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left_rgb, right_rgb, left_seg, left_depth, right_depth = self._h5_loader(file.read(), self.config.dataset_type)
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yield path, {
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"left_rgb": left_rgb,
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"right_rgb": right_rgb,
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"left_seg": left_seg,
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"left_depth": left_depth,
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"right_depth": right_depth,
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}
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