Files
hao-ai-lab-FastVideo/examples/inference/basic/mlx_rife_smoke_test.py

47 lines
1.3 KiB
Python

# SPDX-License-Identifier: Apache-2.0
"""Tiny MLX RIFE frame-interpolation smoke test."""
from __future__ import annotations
import argparse
import time
import numpy as np
from fastvideo.mlx_runtime.rife_interp import interpolate, load_model
def main() -> None:
parser = argparse.ArgumentParser(
description="MLX RIFE 4.25 frame interpolation smoke test."
)
parser.add_argument(
"--self-test",
action="store_true",
help="Run a tiny two-frame interpolation test.",
)
args = parser.parse_args()
if not args.self_test:
raise SystemExit("Nothing to do; pass --self-test")
frame0 = np.zeros((64, 96, 3), dtype=np.uint8)
frame1 = np.zeros((64, 96, 3), dtype=np.uint8)
frame1[:, :, 0] = 255
start = time.perf_counter()
model = load_model()
load_s = time.perf_counter() - start
start = time.perf_counter()
frames = interpolate([frame0, frame1], factor=2, model=model)
interp_s = time.perf_counter() - start
assert len(frames) == 3
assert frames[1].shape == frame0.shape
assert frames[1].dtype == np.uint8
print(
"MLX RIFE self-test passed: "
f"load_s={load_s:.3f} interp_s={interp_s:.3f} shape={frames[1].shape}"
)
if __name__ == "__main__":
main()