Threshold
- cvcuda.threshold(src: nvcv.Tensor, thresh: nvcv.Tensor, maxval: nvcv.Tensor, type: ThresholdType, stream: nvcv.cuda.Stream | None = None) nvcv.Tensor
Executes the Threshold operation on the given cuda stream.
See also
Refer to the CV-CUDA C API reference for the Threshold operator for more details and usage examples.
- Parameters:
src (nvcv.Tensor) – Input tensor containing one or more images.
thresh (nvcv.Tensor) – An array of size batch that gives the threshold value of each image.
maxval (nvcv.Tensor) – An array of size batch that gives the maxval value of each image, using with the cvcuda.ThresholdType.BINARY or cvcuda.ThresholdType.BINARY_INV threshold types.
type (cvcuda.ThresholdType) – Thresholding type.
stream (nvcv.cuda.Stream, optional) – CUDA Stream on which to perform the operation.
- Returns:
The output tensor.
- Return type:
nvcv.Tensor
Caution
Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.
cvcuda.threshold(src: nvcv.ImageBatchVarShape, thresh: nvcv.Tensor, maxval: nvcv.Tensor, type:ThresholdType, stream: Optional[nvcv.cuda.Stream] = None) -> nvcv.ImageBatchVarShape
Executes the Threshold operation on the given cuda stream.
See also
Refer to the CV-CUDA C API reference for the Threshold operator for more details and usage examples.
- Parameters:
src (nvcv.ImageBatchVarShape) – Input image batch containing one or more images.
thresh (nvcv.Tensor) – An array of size batch that gives the threshold value of each image.
maxval (nvcv.Tensor) – An array of size batch that gives the maxval value of each image, using with the cvcuda.ThresholdType.BINARY or cvcuda.ThresholdType.BINARY_INV threshold types.
type (cvcuda.ThresholdType) – Thresholding type.
stream (nvcv.cuda.Stream, optional) – CUDA Stream on which to perform the operation.
- Returns:
The output image batch.
- Return type:
nvcv.ImageBatchVarShape
Caution
Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.
- cvcuda.threshold_into(dst: nvcv.Tensor, src: nvcv.Tensor, thresh: nvcv.Tensor, maxval: nvcv.Tensor, type: ThresholdType, stream: nvcv.cuda.Stream | None = None)
Executes the Threshold operation on the given cuda stream.
See also
Refer to the CV-CUDA C API reference for the Threshold operator for more details and usage examples.
- Parameters:
dst (nvcv.Tensor) – Output tensor to store the result of the operation.
src (nvcv.Tensor) – Input tensor containing one or more images.
thresh (nvcv.Tensor) – An array of size batch that gives the threshold value of each image.
maxval (nvcv.Tensor) – An array of size batch that gives the maxval value of each image, using with the cvcuda.ThresholdType.BINARY or cvcuda.ThresholdType.BINARY_INV threshold types.
type (cvcuda.ThresholdType) – Thresholding type.
stream (nvcv.cuda.Stream, optional) – CUDA Stream on which to perform the operation.
- Returns:
None
Caution
Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.
cvcuda.threshold_into(dst: nvcv.ImageBatchVarShape, src: nvcv.ImageBatchVarShape, thresh: nvcv.Tensor, maxval: nvcv.Tensor, type:ThresholdType, stream: Optional[nvcv.cuda.Stream] = None)
Executes the Threshold operation on the given cuda stream.
See also
Refer to the CV-CUDA C API reference for the Threshold operator for more details and usage examples.
- Parameters:
dst (nvcv.ImageBatchVarShape) – Output image batch containing the result of the operation.
src (nvcv.ImageBatchVarShape) – Input image batch containing one or more images.
thresh (nvcv.Tensor) – An array of size batch that gives the threshold value of each image.
maxval (nvcv.Tensor) – An array of size batch that gives the maxval value of each image, using with the cvcuda.ThresholdType.BINARY or cvcuda.ThresholdType.BINARY_INV threshold types.
type (cvcuda.ThresholdType) – Thresholding type.
stream (nvcv.cuda.Stream, optional) – CUDA Stream on which to perform the operation.
- Returns:
None
Caution
Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.