File Serge3dxmeasuringcontestandprincipa Free -

# Sort eigenvectors by eigenvalue (principal = largest) idx = np.argsort(eigenvalues)[::-1] principal_axes = eigenvectors[:, idx]

| Source | What You Get | PCA/Principal Ready? | |--------|--------------|----------------------| | | Medical STL files for contest measuring | Yes, use above script | | Thingiverse "Calibration" | Calibration cubes, torture tests | Yes | | GrabCAD Challenge | Past competition parts + measurement answers | Yes | | AIM@SHAPE | Standard 3D benchmark models (Stanford Bunny, Dragon) | Yes | file serge3dxmeasuringcontestandprincipa free

# Ensure right-handed coordinate system if np.linalg.det(principal_axes) < 0: principal_axes[:,2] *= -1 # Sort eigenvectors by eigenvalue (principal = largest)