OpenCV
4.1.2
Open Source Computer Vision
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Compilation arguments: a set of data structures which can be passed to control compilation process. More...
Classes | |
struct | cv::GCompileArg |
Represents an arbitrary compilation argument. More... | |
class | cv::gapi::GKernelPackage |
A container class for heterogeneous kernel implementation collections and graph transformations. More... | |
struct | cv::graph_dump_path |
Ask G-API to dump compiled graph in Graphviz format under the given file name. More... | |
Typedefs | |
using | cv::GCompileArgs = std::vector< GCompileArg > |
Functions | |
template<typename... Ts> | |
GCompileArgs | cv::compile_args (Ts &&... args) |
template<typename... KK> | |
GKernelPackage | cv::gapi::kernels () |
Create a kernel package object containing kernels and transformations specified in variadic template argument. More... | |
Compilation arguments: a set of data structures which can be passed to control compilation process.
G-API comes with a number of graph compilation options which can be passed to cv::GComputation::apply() or cv::GComputation::compile(). Known compilation options are listed in this page, while extra backends may introduce their own compilation options (G-API transparently accepts everything which can be passed to cv::compile_args(), it depends on underlying backends if an option would be interpreted or not).
For example, if an example computation is executed like this:
Extra parameter specifying which kernels to compile with can be passed like this:
using cv::GCompileArgs = typedef std::vector<GCompileArg> |
#include <opencv2/gapi/gcommon.hpp>
GCompileArgs cv::compile_args | ( | Ts &&... | args | ) |
#include <opencv2/gapi/gcommon.hpp>
Wraps a list of arguments (a parameter pack) into a vector of compilation arguments (cv::GCompileArg).
GKernelPackage cv::gapi::kernels | ( | ) |
#include <opencv2/gapi/gkernel.hpp>
Create a kernel package object containing kernels and transformations specified in variadic template argument.
In G-API, kernel implementations and transformations are types. Every backend has its own kernel API (like GAPI_OCV_KERNEL() and GAPI_FLUID_KERNEL()) but all of that APIs define a new type for each kernel implementation.
Use this function to pass kernel implementations (defined in either way) and transformations to the system. Example:
Note that kernels() itself is a function returning object, not a type, so having ()
at the end is important – it must be a function call.