MinMaxLoc

cvcuda.max_loc(*args, **kwargs)

Overloaded function.

1. max_loc(src: nvcv.Tensor, max_locations: int = 0, *, stream: Optional[nvcv.cuda.Stream] = None) -> tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]

   Finds maximum on the input tensor.

   See also:

   Refer to the CV-CUDA C API reference for the MinMaxLoc operator for more details and usage examples.

   Args:

   src (nvcv.Tensor): Input tensor to get minimum/maximum values/locations. max_locations (Number, optional): Number of maximum locations to find, default is 1% of total

   pixels at a minimum of 1.

   stream (nvcv.cuda.Stream, optional): CUDA Stream on which to perform the operation.

   Returns:

   Tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]: A tuple with maximum value, locations and number of maxima.

   Caution:

   Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

2. max_loc(src: nvcv.ImageBatchVarShape, max_locations: int = 0, *, stream: Optional[nvcv.cuda.Stream] = None) -> tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]

   Finds maximum on the input batch.

   See also:

   Refer to the CV-CUDA C API reference for the MinMaxLoc operator for more details and usage examples.

   Args:

   src (nvcv.ImageBatchVarShape): Input image batch to get minimum/maximum values/locations. max_locations (Number, optional): Number of maximum locations to find, default is 1% of total

   pixels at a minimum of 1.

   stream (nvcv.cuda.Stream, optional): CUDA Stream on which to perform the operation.

   Returns:

   Tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]: A tuple with maximum value, locations and number of maxima.

   Caution:

   Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

cvcuda.max_loc_into(*args, **kwargs)

Overloaded function.

1. max_loc_into(max_val: nvcv.Tensor, max_loc: nvcv.Tensor, num_max: nvcv.Tensor, src: nvcv.Tensor, *, stream: Optional[nvcv.cuda.Stream] = None) -> tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]

   Finds maximum on the input tensor.

   See also:

   Refer to the CV-CUDA C API reference for the MinMaxLoc operator for more details and usage examples.

   Args:

   max_val (nvcv.Tensor): Output tensor with maximum value. max_loc (nvcv.Tensor): Output tensor with maximum locations. num_max (nvcv.Tensor): Output tensor with number of maximum locations found. src (nvcv.Tensor): Input tensor to get minimum/maximum values/locations. stream (nvcv.cuda.Stream, optional): CUDA Stream on which to perform the operation.

   Returns:

   Tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]: A tuple with maximum value, locations and number of maxima.

   Caution:

   Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

2. max_loc_into(max_val: nvcv.Tensor, max_loc: nvcv.Tensor, num_max: nvcv.Tensor, src: nvcv.ImageBatchVarShape, *, stream: Optional[nvcv.cuda.Stream] = None) -> tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]

   Finds maximum on the input batch.

   See also:

   Refer to the CV-CUDA C API reference for the MinMaxLoc operator for more details and usage examples.

   Args:

   max_val (nvcv.Tensor): Output tensor with maximum value. max_loc (nvcv.Tensor): Output tensor with maximum locations. num_max (nvcv.Tensor): Output tensor with number of maximum locations found. src (nvcv.ImageBatchVarShape): Input image batch to get minimum/maximum values/locations. stream (nvcv.cuda.Stream, optional): CUDA Stream on which to perform the operation.

   Returns:

   Tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]: A tuple with maximum value, locations and number of maxima.

   Caution:

   Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

cvcuda.min_loc(*args, **kwargs)

Overloaded function.

1. min_loc(src: nvcv.Tensor, max_locations: int = 0, *, stream: Optional[nvcv.cuda.Stream] = None) -> tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]

   Finds minimum on the input tensor.

   See also:

   Refer to the CV-CUDA C API reference for the MinMaxLoc operator for more details and usage examples.

   Args:

   src (nvcv.Tensor): Input tensor to get minimum/maximum values/locations. max_locations (Number, optional): Number of maximum locations to find, default is 1% of total

   pixels at a minimum of 1.

   stream (nvcv.cuda.Stream, optional): CUDA Stream on which to perform the operation.

   Returns:

   Tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]: A tuple with minimum value, locations and number of minima.

   Caution:

   Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

2. min_loc(src: nvcv.ImageBatchVarShape, max_locations: int = 0, *, stream: Optional[nvcv.cuda.Stream] = None) -> tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]

   Finds minimum on the input batch.

   See also:

   Refer to the CV-CUDA C API reference for the MinMaxLoc operator for more details and usage examples.

   Args:

   src (nvcv.ImageBatchVarShape): Input image batch to get minimum/maximum values/locations. max_locations (Number, optional): Number of maximum locations to find, default is 1% of total

   pixels at a minimum of 1.

   stream (nvcv.cuda.Stream, optional): CUDA Stream on which to perform the operation.

   Returns:

   Tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]: A tuple with minimum value, locations and number of minima.

   Caution:

   Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

cvcuda.min_loc_into(*args, **kwargs)

Overloaded function.

1. min_loc_into(min_val: nvcv.Tensor, min_loc: nvcv.Tensor, num_min: nvcv.Tensor, src: nvcv.Tensor, *, stream: Optional[nvcv.cuda.Stream] = None) -> tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]

   Finds minimum on the input tensor.

   See also:

   Refer to the CV-CUDA C API reference for the MinMaxLoc operator for more details and usage examples.

   Args:

   min_val (nvcv.Tensor): Output tensor with minimum value. min_loc (nvcv.Tensor): Output tensor with minimum locations. num_min (nvcv.Tensor): Output tensor with number of minimum locations found. src (nvcv.Tensor): Input tensor to get minimum/maximum values/locations. stream (nvcv.cuda.Stream, optional): CUDA Stream on which to perform the operation.

   Returns:

   Tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]: A tuple with minimum value, locations and number of minima.

   Caution:

   Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

2. min_loc_into(min_val: nvcv.Tensor, min_loc: nvcv.Tensor, num_min: nvcv.Tensor, src: nvcv.ImageBatchVarShape, *, stream: Optional[nvcv.cuda.Stream] = None) -> tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]

   Finds minimum on the input batch.

   See also:

   Refer to the CV-CUDA C API reference for the MinMaxLoc operator for more details and usage examples.

   Args:

   min_val (nvcv.Tensor): Output tensor with minimum value. min_loc (nvcv.Tensor): Output tensor with minimum locations. num_min (nvcv.Tensor): Output tensor with number of minimum locations found. src (nvcv.ImageBatchVarShape): Input image batch to get minimum/maximum values/locations. stream (nvcv.cuda.Stream, optional): CUDA Stream on which to perform the operation.

   Returns:

   Tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]: A tuple with minimum value, locations and number of minima.

   Caution:

   Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

cvcuda.min_max_loc(*args, **kwargs)

Overloaded function.

1. min_max_loc(src: nvcv.Tensor, max_locations: int = 0, *, stream: Optional[nvcv.cuda.Stream] = None) -> tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]

   Finds minimum/maximum on the input tensor.

   See also:

   Refer to the CV-CUDA C API reference for the MinMaxLoc operator for more details and usage examples.

   Args:

   src (nvcv.Tensor): Input tensor to get minimum/maximum values/locations. max_locations (Number, optional): Number of maximum locations to find, default is 1% of total

   pixels at a minimum of 1.

   stream (nvcv.cuda.Stream, optional): CUDA Stream on which to perform the operation.

   Returns:

   Tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]: A tuple with minimum value, locations and number of minima, and also maximum value, locations and number of maxima.

   Caution:

   Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

2. min_max_loc(src: nvcv.ImageBatchVarShape, max_locations: int = 0, *, stream: Optional[nvcv.cuda.Stream] = None) -> tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]

   Finds minimum/maximum on the input batch.

   See also:

   Refer to the CV-CUDA C API reference for the MinMaxLoc operator for more details and usage examples.

   Args:

   src (nvcv.ImageBatchVarShape): Input image batch to get minimum/maximum values/locations. max_locations (Number, optional): Number of maximum locations to find, default is 1% of total

   pixels at a minimum of 1.

   stream (nvcv.cuda.Stream, optional): CUDA Stream on which to perform the operation.

   Returns:

   Tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]: A tuple with minimum value, locations and number of minima, and also maximum value, locations and number of maxima.

   Caution:

   Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

cvcuda.min_max_loc_into(*args, **kwargs)

Overloaded function.

1. min_max_loc_into(min_val: nvcv.Tensor, min_loc: nvcv.Tensor, num_min: nvcv.Tensor, max_val: nvcv.Tensor, max_loc: nvcv.Tensor, num_max: nvcv.Tensor, src: nvcv.Tensor, *, stream: Optional[nvcv.cuda.Stream] = None) -> tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]

   Finds minimum/maximum on the input tensor.

   See also:

   Refer to the CV-CUDA C API reference for the MinMaxLoc operator for more details and usage examples.

   Args:

   min_val (nvcv.Tensor): Output tensor with minimum value. min_loc (nvcv.Tensor): Output tensor with minimum locations. num_min (nvcv.Tensor): Output tensor with number of minimum locations found. max_val (nvcv.Tensor): Output tensor with maximum value. max_loc (nvcv.Tensor): Output tensor with maximum locations. num_max (nvcv.Tensor): Output tensor with number of maximum locations found. src (nvcv.Tensor): Input tensor to get minimum/maximum values/locations. stream (nvcv.cuda.Stream, optional): CUDA Stream on which to perform the operation.

   Returns:

   Tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]: A tuple with minimum value, locations and number of minima, and also maximum value, locations and number of maxima.

   Caution:

   Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.

2. min_max_loc_into(min_val: nvcv.Tensor, min_loc: nvcv.Tensor, num_min: nvcv.Tensor, max_val: nvcv.Tensor, max_loc: nvcv.Tensor, num_max: nvcv.Tensor, src: nvcv.ImageBatchVarShape, *, stream: Optional[nvcv.cuda.Stream] = None) -> tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]

   Finds minimum/maximum on the input batch.

   See also:

   Refer to the CV-CUDA C API reference for the MinMaxLoc operator for more details and usage examples.

   Args:

   min_val (nvcv.Tensor): Output tensor with minimum value. min_loc (nvcv.Tensor): Output tensor with minimum locations. num_min (nvcv.Tensor): Output tensor with number of minimum locations found. max_val (nvcv.Tensor): Output tensor with maximum value. max_loc (nvcv.Tensor): Output tensor with maximum locations. num_max (nvcv.Tensor): Output tensor with number of maximum locations found. src (nvcv.ImageBatchVarShape): Input image batch to get minimum/maximum values/locations. stream (nvcv.cuda.Stream, optional): CUDA Stream on which to perform the operation.

   Returns:

   Tuple[nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor, nvcv.Tensor]: A tuple with minimum value, locations and number of minima, and also maximum value, locations and number of maxima.

   Caution:

   Restrictions to several arguments may apply. Check the C API references of the CV-CUDA operator.