Download reconstruction/scripts/convert_layout_to_camera_frame.py from hk239/v2d: direct link, hf CLI and curl.
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https://huggingface.co/datasets/hk239/v2d/resolve/main/reconstruction/scripts/convert_layout_to_camera_frame.py
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3.57 kB
| #!/usr/bin/env python3 | |
| """ | |
| Convert a per-frame layout JSON from pose frame to camera frame. | |
| Applies the same transformation as visualize_mesh_3d_video.py: | |
| 1. Reorder translation [tx,ty,tz] -> [tz,tx,ty] and scale by --translation-scale | |
| 2. Convert rotation and translation from pose frame (x-fwd, y-left, z-up) | |
| to camera frame (x-right, y-down, z-fwd) | |
| Usage: | |
| python convert_layout_to_camera_frame.py \ | |
| --input /path/to/video_dir/obj_tracking_out/<object>/combined_visualization/layout.json \ | |
| --output /path/to/video_dir/obj_tracking_out/<object>/combined_visualization/layout_camera_frame.json | |
| """ | |
| import argparse | |
| import json | |
| import numpy as np | |
| from scipy.spatial.transform import Rotation as R | |
| # Pose frame -> Camera frame rotation matrix (for row vectors: v_cam = v_pose @ P) | |
| # x_cam = -y_pose, y_cam = -z_pose, z_cam = x_pose | |
| P = np.array([ | |
| [0, 0, 1], | |
| [-1, 0, 0], | |
| [0, -1, 0], | |
| ], dtype=np.float64) | |
| def convert_translation(tx, ty, tz, translation_scale): | |
| """Reorder and scale translation, then convert to camera frame.""" | |
| # Reorder as done in visualize_mesh_3d_video.py | |
| t_pose = np.array([tz * translation_scale, tx * translation_scale, ty * translation_scale]) | |
| # Convert to camera frame: v_cam = v_pose @ P | |
| t_cam = t_pose @ P | |
| return t_cam.tolist() | |
| def convert_rotation(quat_wxyz): | |
| """Convert rotation from pose frame to camera frame.""" | |
| # new_quat is wxyz | |
| quat_xyzw = [quat_wxyz[1], quat_wxyz[2], quat_wxyz[3], quat_wxyz[0]] | |
| R_pose = R.from_quat(quat_xyzw).as_matrix() | |
| # R_cam = P.T @ R_pose (change of basis) | |
| R_cam = P.T @ R_pose | |
| quat_cam_xyzw = R.from_matrix(R_cam).as_quat() # returns xyzw | |
| quat_cam_wxyz = [float(quat_cam_xyzw[3]), float(quat_cam_xyzw[0]), | |
| float(quat_cam_xyzw[1]), float(quat_cam_xyzw[2])] | |
| return quat_cam_wxyz | |
| def main(): | |
| parser = argparse.ArgumentParser( | |
| description='Convert layout JSON poses from pose frame to camera frame.', | |
| formatter_class=argparse.ArgumentDefaultsHelpFormatter, | |
| ) | |
| parser.add_argument('--input', type=str, required=True, help='Input layout JSON') | |
| parser.add_argument('--output', type=str, required=True, help='Output layout JSON') | |
| parser.add_argument('--scale', type=float, default=None, | |
| help='Mesh scale (written to output for reference, does not affect transform)') | |
| parser.add_argument('--translation-scale', type=float, default=1.0, | |
| help='Scale factor for translation values') | |
| args = parser.parse_args() | |
| with open(args.input) as f: | |
| data = json.load(f) | |
| for obj in data["objects"]: | |
| pose = obj["local_to_scene"] | |
| tx, ty, tz = pose["translation"] | |
| quat_wxyz = pose["new_quat"] | |
| t_cam = convert_translation(tx, ty, tz, args.translation_scale) | |
| q_cam = convert_rotation(quat_wxyz) | |
| pose["translation_camera_frame"] = t_cam | |
| pose["quat_wxyz_camera_frame"] = q_cam | |
| data["frame"] = "camera_frame" | |
| data["note"] = ( | |
| "Poses converted to camera frame (x-right, y-down, z-fwd). " | |
| f"translation_scale={args.translation_scale}. " | |
| "Original pose-frame values preserved." | |
| ) | |
| if args.scale is not None: | |
| data["mesh_scale"] = args.scale | |
| with open(args.output, 'w') as f: | |
| json.dump(data, f, indent=2) | |
| num = len([o for o in data["objects"] if "frame_idx" in o or "frame_index" in o]) | |
| print(f"Converted {num} frames to camera frame -> {args.output}") | |
| if __name__ == "__main__": | |
| main() | |