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Specifications and Common Mistakes

- Specifications and Common Mistakes:

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mindspore.ops.check_valid

mindspore.ops.check_valid(bboxes, img_metas)

Checks bounding box.

Checks whether the bounding box cross data and data border are valid.

Warning

Boundary(heights * ratio, widths * ratio) specified by bboxes is required to be valid.

Parameters

• bboxes (Tensor) – Bounding boxes tensor with shape $(N,4)$. $N$ indicates the number of bounding boxes, the value 4 indicates x0, x1, y0, and y1. Data type must be float16 or float32.

• img_metas (Tensor) – Raw image size information with the format of (height, width, ratio), specifying the valid boundary (height * ratio, width * ratio). Data type must be float16 or float32.

Returns

Tensor, with shape of $(N,)$ and dtype of bool, specifying whether the bounding boxes is in the image. True indicates valid, while False indicates invalid.

Raises

• TypeError – If bboxes or img_metas is not a Tensor.

• TypeError – If dtype of bboxes or img_metas is neither float16 nor float32.

Supported Platforms:

Ascend GPU CPU

Examples

>>> bboxes = Tensor(np.linspace(0, 6, 12).reshape(3, 4), mindspore.float32)
>>> img_metas = Tensor(np.array([2, 1, 3]), mindspore.float32)
>>> output = ops.check_valid(bboxes, img_metas)
>>> print(output)
[ True False False]