File size: 1,444 Bytes
41510ca
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
"""Resolve the portable training manifest against downloaded source data."""
import argparse
import json
from pathlib import Path

def resolve_paths(value, dataset_root, flame_root=None):
    roots = [("data/source/seamless_interaction/", Path(dataset_root).resolve()),
             ("data/source/flame/", Path(flame_root).resolve() if flame_root else None)]
    def resolve(x):
        if isinstance(x, dict):
            return {k: resolve(v) for k, v in x.items()}
        if isinstance(x, list):
            return [resolve(v) for v in x]
        if isinstance(x, str):
            for prefix, root in roots:
                if x.startswith(prefix):
                    assert root, f"Provide a source root for {prefix}"
                    return str(root / x[len(prefix):])
        return x
    return resolve(value)


def main():
    p = argparse.ArgumentParser()
    p.add_argument("--input", default=str(Path(__file__).resolve().parents[1] / "manifests/train_selected81.json"))
    p.add_argument("--dataset-root", required=True)
    p.add_argument("--flame-root", help="Root for optional data/source/flame/ entries")
    p.add_argument("--output", required=True)
    a = p.parse_args()
    output = Path(a.output)
    output.parent.mkdir(parents=True, exist_ok=True)
    output.write_text(json.dumps(resolve_paths(json.loads(Path(a.input).read_text()), a.dataset_root, a.flame_root), indent=2))

if __name__ == "__main__":
    main()