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ae419ed | 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 37 38 39 40 41 42 43 44 45 46 47 48 | from __future__ import annotations
import argparse
import json
from common import load_config
from dynafall.train_eval import evaluate_checkpoint
SCENARIOS = [
("clean", 0.0),
("missing", 0.10),
("missing", 0.20),
("missing", 0.30),
("lower_body", 0.0),
("upper_body", 0.0),
("low_conf", 0.0),
]
def main() -> None:
ap = argparse.ArgumentParser()
ap.add_argument("--dataset", required=True)
ap.add_argument("--methods", nargs="+", default=["stgcn", "agcn", "ctrgcn", "posec3d", "tcnte", "dynafall"])
ap.add_argument("--config", default="configs/default.yaml")
args = ap.parse_args()
cfg = load_config(args.config)
results = []
for method in args.methods:
for mode, amount in SCENARIOS:
name = f"{mode}_{int(amount * 100)}" if mode == "missing" else mode
result = evaluate_checkpoint(
args.dataset,
method,
cfg,
robustness=mode,
missing_amount=amount,
tag=f"robust_{name}",
)
result["scenario"] = name
results.append(result)
print(json.dumps(result, indent=2))
print(json.dumps(results, indent=2))
if __name__ == "__main__":
main()
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