[−][src]Trait opencv::core::KernelTrait
Required methods
fn as_raw_Kernel(&self) -> *const c_void
fn as_raw_mut_Kernel(&mut self) -> *mut c_void
Provided methods
fn empty(&self) -> Result<bool>
fn create(&mut self, kname: &str, prog: &Program) -> Result<bool>
fn create_ext(
&mut self,
kname: &str,
prog: &ProgramSource,
buildopts: &str,
errmsg: &mut String
) -> Result<bool>
&mut self,
kname: &str,
prog: &ProgramSource,
buildopts: &str,
errmsg: &mut String
) -> Result<bool>
C++ default parameters
- errmsg: 0
fn set(&mut self, i: i32, value: *const c_void, sz: size_t) -> Result<i32>
fn set_1(&mut self, i: i32, image_2d: &Image2D) -> Result<i32>
fn set_umat(&mut self, i: i32, m: &UMat) -> Result<i32>
fn set_kernel_arg(&mut self, i: i32, arg: &KernelArg) -> Result<i32>
fn run(
&mut self,
dims: i32,
globalsize: &mut [size_t],
localsize: &mut [size_t],
sync: bool,
q: &Queue
) -> Result<bool>
&mut self,
dims: i32,
globalsize: &mut [size_t],
localsize: &mut [size_t],
sync: bool,
q: &Queue
) -> Result<bool>
Run the OpenCL kernel.
Parameters
- dims: the work problem dimensions. It is the length of globalsize and localsize. It can be either 1, 2 or 3.
- globalsize: work items for each dimension. It is not the final globalsize passed to OpenCL. Each dimension will be adjusted to the nearest integer divisible by the corresponding value in localsize. If localsize is NULL, it will still be adjusted depending on dims. The adjusted values are greater than or equal to the original values.
- localsize: work-group size for each dimension.
- sync: specify whether to wait for OpenCL computation to finish before return.
- q: command queue
C++ default parameters
- q: Queue()
fn run_task(&mut self, sync: bool, q: &Queue) -> Result<bool>
C++ default parameters
- q: Queue()
fn run_profiling(
&mut self,
dims: i32,
globalsize: &mut [size_t],
localsize: &mut [size_t],
q: &Queue
) -> Result<i64>
&mut self,
dims: i32,
globalsize: &mut [size_t],
localsize: &mut [size_t],
q: &Queue
) -> Result<i64>
Similar to synchronized run() call with returning of kernel execution time Separate OpenCL command queue may be used (with CL_QUEUE_PROFILING_ENABLE)
Returns
Execution time in nanoseconds or negative number on error
C++ default parameters
- q: Queue()