Datasets:
Update terramesh.py
Browse files- terramesh.py +5 -9
terramesh.py
CHANGED
@@ -117,7 +117,7 @@ def build_terramesh_dataset(
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modalities = modalities[0]
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# No shuffle and partial load for val
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-
shuffle =
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partial = partial if partial is not None else split == "val"
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shardshuffle = shardshuffle * shuffle
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@@ -163,17 +163,13 @@ def build_terramesh_dataset(
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return dataset
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def
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if key == "zarr.zip" or key.endswith(".zarr.zip"):
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mapper = fsspec.filesystem("zip", fo=io.BytesIO(value), block_size=None).get_mapper("")
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return zarr.open_consolidated(mapper, mode="r")["bands"][...]
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default_decoder = wds.decode()
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def zarr_metadata_decoder(sample):
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for key, value in list(sample.items()):
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if key == "zarr.zip" or key.endswith(".zarr.zip"):
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mapper = fsspec.filesystem("zip", fo=io.BytesIO(value), block_size=None).get_mapper("")
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@@ -269,7 +265,7 @@ def build_wds_dataset(
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)
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# Decode from bytes to numpy arrays, etc.
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dataset = dataset.map(
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# Rename modality to "image" and remove temporal dimension
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dataset = dataset.rename(image="zarr.zip")
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@@ -298,7 +294,7 @@ def _subset_pipeline(urls, *, batch_size, shardshuffle, deterministic, seed, emp
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multi_tarfile_samples,
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wds.shuffle(shardshuffle, seed=seed),
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# Decode from bytes to numpy arrays, etc.
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(wds.map(
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# Remove time dimension from tensors
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wds.map(drop_time_dim) if not time_dim else wds.map(identity),
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wds.map(remove_extensions),
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modalities = modalities[0]
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# No shuffle and partial load for val
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shuffle = shuffle if shuffle is not None else split != "val"
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partial = partial if partial is not None else split == "val"
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shardshuffle = shardshuffle * shuffle
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return dataset
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+
def zarr_decoding(key, value):
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if key == "zarr.zip" or key.endswith(".zarr.zip"):
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mapper = fsspec.filesystem("zip", fo=io.BytesIO(value), block_size=None).get_mapper("")
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return zarr.open_consolidated(mapper, mode="r")["bands"][...]
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+
def zarr_metadata_decoding(sample):
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for key, value in list(sample.items()):
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if key == "zarr.zip" or key.endswith(".zarr.zip"):
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mapper = fsspec.filesystem("zip", fo=io.BytesIO(value), block_size=None).get_mapper("")
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)
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# Decode from bytes to numpy arrays, etc.
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dataset = dataset.map(zarr_metadata_decoding) if return_metadata else dataset.decode(zarr_decoding)
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# Rename modality to "image" and remove temporal dimension
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dataset = dataset.rename(image="zarr.zip")
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multi_tarfile_samples,
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wds.shuffle(shardshuffle, seed=seed),
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# Decode from bytes to numpy arrays, etc.
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(wds.map(zarr_metadata_decoding) if return_metadata else wds.decode(zarr_decoding)),
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# Remove time dimension from tensors
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wds.map(drop_time_dim) if not time_dim else wds.map(identity),
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wds.map(remove_extensions),
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