| """Example script to unpack one shard of the 1xGPT v2.0 video dataset.""" |
|
|
| import json |
| import pathlib |
| import subprocess |
|
|
| import numpy as np |
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| dir_path = pathlib.Path("val_v2.0") |
| rank = 0 |
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| |
| metadata = json.load(open(dir_path / "metadata.json")) |
| metadata_shard = json.load(open(dir_path / f"metadata_{rank}.json")) |
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|
| total_frames = metadata_shard["shard_num_frames"] |
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|
| maps = [ |
| ("segment_idx", np.int32, []), |
| ("states", np.float32, [25]), |
| ] |
|
|
| video_path = dir_path / "video_0.mp4" |
|
|
| for m, dtype, shape in maps: |
| filename = dir_path / f"{m}_{rank}.bin" |
| print("Reading", filename, [total_frames] + shape) |
| m_out = np.memmap(filename, dtype=dtype, mode="r", shape=tuple([total_frames] + shape)) |
| assert m_out.shape[0] == total_frames |
| print(m, m_out[:100]) |
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