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/tensorflow/image.py:431
if interpolation not in AFFINE_TRANSFORM_INTERPOLATIONS:
raise ValueError(
"Invalid value for argument `interpolation`. Expected of one "
f"{AFFINE_TRANSFORM_INTERPOLATIONS}. 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.rank not in (2, 3) or start_points.shape[-2:] != (
4,
2,
):
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.rank not in (2, 3) or end_points.shape[-2:] != (4, 2):
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 = tf.expand_dims(images, axis=0)View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/backend/tensorflow/image.py:431 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/63608ca6e9f66142.
Report an issue: GitHub.