mirror of
https://github.com/opencv/opencv.git
synced 2024-12-05 01:39:13 +08:00
b2b6f52d14
* G-API: Addressed various documentation issues - Fixed various typos and missing references; - Added brief documentaion on G_TYPED_KERNEL and G_COMPOUND_KERNEL macros; - Briefly described GComputationT<>; - Briefly described G-API data objects (in a group section). * G-API: Some clean-ups in doxygen, also a chapter on Render API * G-API: Expose more graph compilation arguments in the documentation * G-API: Address documentation review comments
114 lines
4.3 KiB
Markdown
114 lines
4.3 KiB
Markdown
# Graph API {#gapi}
|
|
|
|
# Introduction {#gapi_root_intro}
|
|
|
|
OpenCV Graph API (or G-API) is a new OpenCV module targeted to make
|
|
regular image processing fast and portable. These two goals are
|
|
achieved by introducing a new graph-based model of execution.
|
|
|
|
G-API is a special module in OpenCV -- in contrast with the majority
|
|
of other main modules, this one acts as a framework rather than some
|
|
specific CV algorithm. G-API provides means to define CV operations,
|
|
construct graphs (in form of expressions) using it, and finally
|
|
implement and run the operations for a particular backend.
|
|
|
|
@note G-API is a new module and now is in active development. It's API
|
|
is volatile at the moment and there may be minor but
|
|
compatibility-breaking changes in the future.
|
|
|
|
# Contents
|
|
|
|
G-API documentation is organized into the following chapters:
|
|
|
|
- @subpage gapi_purposes
|
|
|
|
The motivation behind G-API and its goals.
|
|
|
|
- @subpage gapi_hld
|
|
|
|
General overview of G-API architecture and its major internal
|
|
components.
|
|
|
|
- @subpage gapi_kernel_api
|
|
|
|
Learn how to introduce new operations in G-API and implement it for
|
|
various backends.
|
|
|
|
- @subpage gapi_impl
|
|
|
|
Low-level implementation details of G-API, for those who want to
|
|
contribute.
|
|
|
|
- API Reference: functions and classes
|
|
|
|
- @subpage gapi_core
|
|
|
|
Core G-API operations - arithmetic, boolean, and other matrix
|
|
operations;
|
|
|
|
- @subpage gapi_imgproc
|
|
|
|
Image processing functions: color space conversions, various
|
|
filters, etc.
|
|
|
|
# API Example {#gapi_example}
|
|
|
|
A very basic example of G-API pipeline is shown below:
|
|
|
|
@include modules/gapi/samples/api_example.cpp
|
|
|
|
<!-- TODO align this code with text using marks and itemized list -->
|
|
|
|
G-API is a separate OpenCV module so its header files have to be
|
|
included explicitly. The first four lines of `main()` create and
|
|
initialize OpenCV's standard video capture object, which fetches
|
|
video frames from either an attached camera or a specified file.
|
|
|
|
G-API pipeline is constructed next. In fact, it is a series of G-API
|
|
operation calls on cv::GMat data. The important aspect of G-API is
|
|
that this code block is just a declaration of actions, but not the
|
|
actions themselves. No processing happens at this point, G-API only
|
|
tracks which operations form pipeline and how it is connected. G-API
|
|
_Data objects_ (here it is cv::GMat) are used to connect operations
|
|
each other. `in` is an _empty_ cv::GMat signalling that it is a
|
|
beginning of computation.
|
|
|
|
After G-API code is written, it is captured into a call graph with
|
|
instantiation of cv::GComputation object. This object takes
|
|
input/output data references (in this example, `in` and `out`
|
|
cv::GMat objects, respectively) as parameters and reconstructs the
|
|
call graph based on all the data flow between `in` and `out`.
|
|
|
|
cv::GComputation is a thin object in sense that it just captures which
|
|
operations form up a computation. However, it can be used to execute
|
|
computations -- in the following processing loop, every captured frame (a
|
|
cv::Mat `input_frame`) is passed to cv::GComputation::apply().
|
|
|
|
|
|
|
|
cv::GComputation::apply() is a polimorphic method which accepts a
|
|
variadic number of arguments. Since this computation is defined on one
|
|
input, one output, a special overload of cv::GComputation::apply() is
|
|
used to pass input data and get output data.
|
|
|
|
Internally, cv::GComputation::apply() compiles the captured graph for
|
|
the given input parameters and executes the compiled graph on data
|
|
immediately.
|
|
|
|
There is a number important concepts can be outlines with this examle:
|
|
* Graph declaration and graph execution are distinct steps;
|
|
* Graph is built implicitly from a sequence of G-API expressions;
|
|
* G-API supports function-like calls -- e.g. cv::gapi::resize(), and
|
|
operators, e.g operator|() which is used to compute bitwise OR;
|
|
* G-API syntax aims to look pure: every operation call within a graph
|
|
yields a new result, thus forming a directed acyclic graph (DAG);
|
|
* Graph declaration is not bound to any data -- real data objects
|
|
(cv::Mat) come into picture after the graph is already declared.
|
|
|
|
<!-- FIXME: The above operator|() link links to MatExpr not GAPI -->
|
|
|
|
See [tutorials and porting examples](@ref tutorial_table_of_content_gapi)
|
|
to learn more on various G-API features and concepts.
|
|
|
|
<!-- TODO Add chapter on declaration, compilation, execution -->
|