tensorflow/models · error · ImageReadError

OpenCV could not read the image at {image_path!s}. The file

Error message

OpenCV could not read the image at {image_path!s}. The file may be missing, corrupt, or in an unsupported format.

What it means

Error "OpenCV could not read the image at {image_path!s}. The file may be missing, corrupt, or in an unsupported format." thrown in tensorflow/models.

Source

Thrown at official/projects/waste_identification_ml/model_inference_with_tracking/sam3_dinov3_tracking_pipeline/image_ops.py:60

  implementation. The two implementations are not bit-identical (PIL and
  OpenCV use slightly different Lanczos filter parameters) but are visually
  equivalent and produce nearly identical downstream detections.

  Args:
    image_path: Path to the image file on disk.
    max_short_side: Maximum allowed length of the shortest side. If the image is
      larger, it is downscaled preserving aspect ratio.

  Returns:
    The loaded and (optionally) resized image as a PIL RGB Image.

  Raises:
    ImageReadError: If OpenCV is unable to decode the file (missing, corrupt,
      or unsupported format).
  """
  bgr_image = cv2.imread(str(image_path))
  if bgr_image is None:
    raise ImageReadError(
        f"OpenCV could not read the image at {image_path!s}. The file may be "
        "missing, corrupt, or in an unsupported format."
    )
  height, width = bgr_image.shape[:2]
  new_width, new_height = _compute_resized_dimensions(
      width=width, height=height, max_short_side=max_short_side
  )
  if (new_width, new_height) != (width, height):
    bgr_resized = cv2.resize(
        bgr_image,
        (new_width, new_height),
        interpolation=cv2.INTER_LANCZOS4,
    )
  else:
    bgr_resized = bgr_image
  rgb_resized = cv2.cvtColor(bgr_resized, cv2.COLOR_BGR2RGB)
  return Image.fromarray(rgb_resized)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/waste_identification_ml/model_inference_with_tracking/sam3_dinov3_tracking_pipeline/image_ops.py:60 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/d5ba98c182ab2820. Report an issue: GitHub.