evoneural/evoneuralIn3D-app

1"""2Seamless check for 2:1 equirectangular skybox: compare left vs right edge.3Returns MSE and a simple pass/fail (low MSE = more seamless).4"""5 6from pathlib import Path7 8import numpy as np9from PIL import Image10 11 12def check_seamless(image_path: str, column_width: int = 5) -> dict:13    """14    Load image, compare left and right edge columns. Equirectangular wraps,15    so left and right should match for a seamless skybox.16    Returns dict with mse, passed (bool), and message.17    """18    path = Path(image_path)19    if not path.is_file():20        return {21            "mse": float("inf"),22            "passed": False,23            "message": f"Image file not found: {path.name}",24        }25    img = np.array(Image.open(image_path).convert("RGB"))26    h, w = img.shape[:2]27 28    if w < 2 * column_width:29        return {30            "mse": float("inf"),31            "passed": False,32            "message": f"Image width {w} too small for column width {column_width}",33        }34 35    left = img[:, :column_width].astype(np.float32)36    right = img[:, -column_width:].astype(np.float32)37    mse = float(np.mean((left - right) ** 2))38 39    # Heuristic: MSE < 100 often looks reasonably seamless40    passed = mse < 10041    message = (42        f"Left/right edge MSE = {mse:.2f}. "43        + ("Seamless (edges match)." if passed else "Edges differ (consider 360° model).")44    )45    return {"mse": mse, "passed": passed, "message": message}46