File size: 3,266 Bytes
20fa7e3 | 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 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 | #!/usr/bin/env python3
"""
Extract human poses from video using PromptHMR
Usage:
python scripts/extract_pose.py --project data/video_001
python scripts/extract_pose.py --project data/video_001 --static-camera
"""
import argparse
import sys
import subprocess
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent))
from video2robot.config import PROMPTHMR_DIR
from video2robot.pose.extractor import convert_all_prompthmr_tracks_to_smplx
from video2robot.utils import emit_progress
def run_prompthmr(video_path: Path, output_dir: Path, static_camera: bool = False) -> Path:
"""Run PromptHMR pipeline via subprocess
Args:
video_path: Input video path
output_dir: Output directory (project folder)
static_camera: Assume static camera (skip SLAM)
Returns:
Path to results directory
"""
script_path = PROMPTHMR_DIR / "scripts" / "run_pipeline.py"
output_folder = str(output_dir.absolute())
cmd = [
"python", str(script_path),
"--input_video", str(video_path.absolute()),
"--output_folder", output_folder,
]
if static_camera:
cmd.append("--static_camera")
print(f"[PromptHMR] Running pipeline...")
print(f"[PromptHMR] Output folder: {output_folder}")
print(f"[PromptHMR] Command: {' '.join(cmd)}")
emit_progress("init", 0.05, "Starting pipeline")
print()
result = subprocess.run(cmd, cwd=str(PROMPTHMR_DIR))
if result.returncode != 0:
raise RuntimeError(f"PromptHMR failed with return code {result.returncode}")
if not output_dir.exists():
raise FileNotFoundError(f"Results not found: {output_dir}")
return output_dir
def convert_prompthmr_results(project_dir: Path, output_path: Path, video_path: Path):
"""Convert PromptHMR results to SMPL-X and export every tracked person."""
emit_progress("smplx", 0.90, "SMPL-X conversion")
convert_all_prompthmr_tracks_to_smplx(
results_dir=project_dir,
output_path=output_path,
video_path=video_path,
)
def main():
parser = argparse.ArgumentParser(description="Extract poses from video using PromptHMR")
parser.add_argument("--project", "-p", required=True,
help="Project folder path (e.g., data/video_001)")
parser.add_argument("--static-camera", action="store_true",
help="Assume static camera (skip SLAM)")
args = parser.parse_args()
project_dir = Path(args.project)
if not project_dir.exists():
parser.error(f"Project not found: {project_dir}")
video_path = project_dir / "original.mp4"
if not video_path.exists():
parser.error(f"Video not found: {video_path}")
output_path = project_dir / "smplx.npz"
print(f"[Project] {project_dir}")
print(f"[Input] {video_path}")
print(f"[Output] {output_path}")
run_prompthmr(video_path, project_dir, args.static_camera)
convert_prompthmr_results(project_dir, output_path, video_path)
emit_progress("done", 1.0, "Done")
print(f"\nDone!")
print(f" Project: {project_dir}")
print(f" SMPL-X: {output_path}")
if __name__ == "__main__":
main()
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