Tier 2: demo videos, sample clip with expected output, smoke test, results.json, model-index, training data
97a0336 verified Download tests/test_smoke.py from RekaAI/Reka-Inverse-Dynamics-Model: direct link, hf CLI and curl.
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https://huggingface.co/RekaAI/Reka-Inverse-Dynamics-Model/resolve/main/tests/test_smoke.py
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hf download hf://RekaAI/Reka-Inverse-Dynamics-Model/tests/test_smoke.py
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curl -L -o test_smoke.py https://huggingface.co/RekaAI/Reka-Inverse-Dynamics-Model/resolve/main/tests/test_smoke.py
1.4 kB
| """Run flow/inference.py on the sample clip and compare with examples/expected_flow_output.json. | |
| Run from the repository root: pytest tests/test_smoke.py | |
| Needs the packages in requirements.txt and pytest. The first run downloads RAFT-small from torchvision. | |
| The test runs on CPU. Probabilities may differ by 0.02 and yaw by 0.5 degrees across machines. | |
| """ | |
| import json | |
| import subprocess | |
| import sys | |
| from pathlib import Path | |
| ROOT = Path(__file__).resolve().parent.parent | |
| def test_flow_output_matches_expected() -> None: | |
| cmd = [ | |
| sys.executable, | |
| str(ROOT / "flow" / "inference.py"), | |
| str(ROOT / "examples" / "bristol-walk-10s.mp4"), | |
| "--config", str(ROOT / "flow" / "config_walking.json"), | |
| "--stride", "49", | |
| "--device", "cpu", | |
| ] | |
| out = json.loads(subprocess.run(cmd, check=True, capture_output=True, text=True).stdout) | |
| expected = json.loads((ROOT / "examples" / "expected_flow_output.json").read_text()) | |
| assert len(out["windows"]) == len(expected["windows"]) | |
| for got, want in zip(out["windows"], expected["windows"]): | |
| assert got["start_frame"] == want["start_frame"] | |
| assert abs(got["yaw_deg"] - want["yaw_deg"]) < 0.5 | |
| assert abs(got["pitch_deg"] - want["pitch_deg"]) < 0.5 | |
| for key, value in want["key_probabilities"].items(): | |
| assert abs(got["key_probabilities"][key] - value) < 0.02 | |