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import sys |
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from pathlib import Path |
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sys.path.append(Path.cwd().parent.__str__()) |
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from dronescapes_reader import MultiTaskDataset |
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from pprint import pprint |
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from torch.utils.data import DataLoader |
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import random |
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def main(): |
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reader = MultiTaskDataset(Path(sys.argv[1]), handle_missing_data="fill_none") |
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print(reader) |
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print("== Shapes ==") |
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pprint(reader.data_shape) |
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print("== Random loaded item ==") |
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rand_ix = random.randint(0, len(reader)) |
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data, name, repr_names = reader[rand_ix] |
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pprint({k: v for k, v in data.items()}) |
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print("== Random loaded batch ==") |
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batch_data, name, repr_names = reader[rand_ix: min(len(reader), rand_ix + 5)] |
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pprint({k: v for k, v in batch_data.items()}) |
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print("== Random loaded batch using torch DataLoader ==") |
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loader = DataLoader(reader, collate_fn=reader.collate_fn, batch_size=5, shuffle=True) |
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batch_data, name, repr_names = next(iter(loader)) |
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pprint({k: v for k, v in batch_data.items()}) |
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if __name__ == "__main__": |
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main() |
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