keras-team/keras · error · ValueError

Invalid start_points shape: expected (4,2) for a single imag

Error message

Invalid start_points shape: expected (4,2) for a single image or (N,4,2) for a batch. Received shape: {start_points.shape}

What it means

Error "Invalid start_points shape: expected (4,2) for a single image or (N,4,2) for a batch. Received shape: {start_points.shape}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/jax/ops/image.py:533

    data_format=None,
):
    data_format = standardize_data_format(data_format)
    if interpolation not in AFFINE_TRANSFORM_INTERPOLATIONS.keys():
        raise ValueError(
            "Invalid value for argument `interpolation`. Expected of one "
            f"{set(AFFINE_TRANSFORM_INTERPOLATIONS.keys())}. Received: "
            f"interpolation={interpolation}"
        )

    if len(images.shape) not in (3, 4):
        raise ValueError(
            "Invalid images rank: expected rank 3 (single image) "
            "or rank 4 (batch of images). Received input with shape: "
            f"images.shape={images.shape}"
        )

    if start_points.shape[-2:] != (4, 2) or start_points.ndim not in (2, 3):
        raise ValueError(
            "Invalid start_points shape: expected (4,2) for a single image"
            f" or (N,4,2) for a batch. Received shape: {start_points.shape}"
        )
    if end_points.shape[-2:] != (4, 2) or end_points.ndim not in (2, 3):
        raise ValueError(
            "Invalid end_points shape: expected (4,2) for a single image"
            f" or (N,4,2) for a batch. Received shape: {end_points.shape}"
        )
    if start_points.shape != end_points.shape:
        raise ValueError(
            "start_points and end_points must have the same shape."
            f" Received start_points.shape={start_points.shape}, "
            f"end_points.shape={end_points.shape}"
        )

    need_squeeze = False
    if len(images.shape) == 3:
        images = jnp.expand_dims(images, axis=0)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/jax/ops/image.py:533 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of keras-team/keras@7a34a03db6 (2026-08-25). Data as JSON: /api/errors/08bdaad3b619ee8f. Report an issue: GitHub.