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V4D offers a way of writing graphical (on- and offscreen) high performance applications with OpenCV. It is light-weight and unencumbered by QT or GTK licenses. It features vector graphics using NanoVG a GUI based on ImGui and (on supported systems) OpenCL/OpenGL and OpenCL/VAAPI interoperability.

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V4D OpenCV Module: A Library for Fast Graphical Applications with OpenCV

The V4D OpenCV module is a library that integrates OpenCV functionalities with V4D, a framework for creating fast graphical applications with multiple-context rendering and parallel execution. It enables users to perform and visualize various tasks on video inputs and outputs using OpenCV functions and classes, such as image processing, computer vision, and machine learning.

Overview

The V4D OpenCV module allows users to perform image processing, computer vision, and machine learning tasks on video inputs and outputs using OpenCV functions and classes, and to visualize the results using V4D contexts such as OpenGL, NanoVG, and ImGui.

The V4D OpenCV module uses a graph-based pipelining approach to parallelize the execution of different tasks on multiple instances of V4D as workers. The graph is inferred from the context calls in the setup, infer, and teardown functions of the Plan class. Each context call emits a graph node that contains the functor, the l-value references to the parameters, and the underlying context it needs active when being called. After the graph has been inferred from the plan, V4D executes the graph in parallel using multiple instances of Plan as workers. Each worker has its own instance of Plan and therefore its own graph. This way, data races are only possible if a global variable or a static member of the plan is accessed. For such shared variables, there are synchronization facilities that V4D provides, such as Global::registerShared, Global::safe_copy, and Global::Scope structures.

The V4D OpenCV module also supports conditional branching in the graph based on some predicates. The branch() and endbranch() methods of the V4D object can be used to create conditional branches in the graph based on some predicates. The branch() method takes a predicate as the first argument, and optionally some l-value references as the following arguments. The predicate defines the condition for branching, and the references define the dependencies of the condition. Note that the arguments of an endbranch() call must match exactly the corresponding branch() call or they won't be associated. The V4D API also provides some predefined branch predicates, such as always_, isTrue_, isFalse_, and_, and or_. These predicates can be used to control the execution flow of the graph nodes based on some boolean conditions. The always_ predicate always returns true, the isTrue_ predicate returns the value of a boolean reference, the isFalse_ predicate returns the negation of a boolean reference, the and_ predicate returns the logical and of two boolean references, and the or_ predicate returns the logical or of two boolean references.

The V4D OpenCV module also provides some helper functions and classes that simplify the usage of the OpenCV functions and classes, such as makeCaptureSource, makeWriterSink, colorConvert, and Global::Scope. These helper functions and classes can be used to create and manipulate sources, sinks, colors, and locks using OpenCV objects.

Advantages

  • Light-weight and unencumbered by QT or GTK licenses: The V4D OpenCV module does not depend on any heavy or restrictive GUI libraries, such as QT or GTK. It only uses GLEW and GLFW3 as dependencies for OpenGL, which are light-weight and have permissive licenses. This makes the V4D OpenCV module more portable and flexible for different platforms and applications.
  • Vector graphics using NanoVG: The V4D OpenCV module allows users to draw vector graphics using the NanoVG library, which is a small and fast library for high-quality antialiased vector graphics. NanoVG provides methods for creating and manipulating paths, shapes, colors, gradients, fonts, and text.
  • GUI based on ImGui: The V4D OpenCV module allows users to create a user interface using the ImGui library, which is a fast and lightweight library for immediate mode graphical user interfaces. ImGui provides methods for creating and manipulating widgets, such as buttons, sliders, checkboxes, menus, and dialogs.
  • Hardware acceleration: The V4D OpenCV module supports hardware acceleration where possible, such as CL-GL interop, VAAPI, and CL-VAAPI interop. This means that the V4D OpenCV module can use the GPU to perform some operations on the video frames, such as processing, rendering, capturing, writing, and displaying. This can improve the performance and efficiency of the graphical applications. The V4D OpenCV module can also run almost entirely on the GPU, given that the driver features are available. The V4D OpenCV module detects, enables, and uses the hardware acceleration transparently, without requiring any user intervention or configuration.
  • No more highgui: The V4D OpenCV module replaces the highgui module of OpenCV, which is a module for displaying images and basic user interface. The highgui module has some limitations, such as heavy dependencies, licenses, and platform-specific issues. The V4D OpenCV module provides a more powerful and flexible alternative to the highgui module, by using V4D and its multiple contexts.

Requirements

  • C++20: The V4D OpenCV module requires C++20 as the minimum standard for compiling and running the graphical applications.
  • OpenGL 3.2 Core (optionally Compat)/OpenGL ES 3.0: The V4D OpenCV module requires OpenGL 3.2 Core or OpenGL ES 3.0 as the minimum version for rendering the video frames. Optionally, the V4D OpenCV module can also use OpenGL 3.2 Compat, which provides some backward compatibility with older OpenGL versions.
  • OpenCL 1.2 (optional): The V4D OpenCV module can optionally use OpenCL 1.2 as the minimum version for performing OpenCV algorithms on the video frames using the GPU.
  • cl_khr_gl_sharing and cl_intel_va_api_media_sharing OpenCL extensions (optional): The V4D OpenCV module can optionally use some OpenCL extensions that enable interoperability with OpenGL and VAAPI. The cl_khr_gl_sharing extension allows sharing of OpenGL objects, such as textures and buffers, with OpenCL. The cl_intel_va_api_media_sharing extension allows sharing of VAAPI objects, such as surfaces and contexts, with OpenCL. These extensions are not required, but they can improve the performance and efficiency of the graphical applications.

Dependencies

The V4D OpenCV module depends on some external libraries that provide some functionalities for the graphical applications, such as OpenGL, GLFW3, NanoVG, and ImGui. These dependencies are listed below:

  • OpenCV 4.x: The V4D OpenCV module depends on OpenCV 4.x as the main library for image processing, computer vision, and machine learning. The V4D OpenCV module works with the mainline OpenCV 4.x, but it also has a fork that provides some additional features, such as VAAPI support and CL-VAAPI interop.
  • GLEW: The V4D OpenCV module depends on GLEW as the library for loading and managing OpenGL extensions. GLEW provides a cross-platform way to access the OpenGL functions and constants that are defined by the extensions.
  • GLFW3: The V4D OpenCV module depends on GLFW3 as the library for creating and managing windows and contexts for OpenGL. GLFW3 provides a simple and portable way to create and manage windows and contexts for OpenGL.
  • NanoVG: The V4D OpenCV module depends on NanoVG as the library for drawing vector graphics using OpenGL. NanoVG is a small and fast library that provides high-quality antialiased vector graphics. NanoVG supports various shapes, colors, gradients, fonts, and text, and integrates well with the framebuffer context of the V4D OpenCV module.
  • ImGui: The V4D OpenCV module depends on ImGui as the library for creating user interfaces using OpenGL. ImGui is a fast and lightweight library that provides immediate mode graphical user interfaces. ImGui supports various widgets, such as buttons, sliders, checkboxes, menus, and dialogs, and integrates well with the framebuffer context of the V4D OpenCV module.

The V4D-Context Abstraction and Multi-Context Rendering

Most sub-systems of V4D abstract their resource handles as "contexts". Examples are OpenGL, NanoGUI, ImGUI, OpenCL, and VAAPI. Though of course NanoGUI- and ImGUI-contexts are based on OpenGL-context, which means V4D uses multiple OpenGL-contexts for rendering. Actually, through a dedicated context call (gl()) more OpenGL-instances may be instanced. Each of these OpenGL-contexts has a framebuffer bound to it with the same shared texture attached to it. The orchestration of (easily dozens or even hundreds of) OpenGL-contexts is called multi-context rendering. There are two reasons why V4D does multi-context rendering.

  1. Every OpenGL-context has its own separate state, which is necessary because usually OpenGL frameworks assume exclusive access to the state-machine. By using multiple OpenGL contexts, frameworks can be used side-by-side.
  2. Parallel rendering to multiple contexts can be highly beneficial to performance, depending on the use-case (see many-cubes_demo).

Note: There is another shared texture in V4D's abstraction of a framebuffer, but that is used to transfer frames from the workers to the main V4D instance (on the main thread).

Types of V4D-Contexts

The V4D OpenCV module supports various types of V4D-contexts that allow users to perform different operations on the video frames using different libraries and frameworks. The types of V4D-contexts are listed below:

  • The FrameBufferContext is the main context that holds the framebuffer that is displayed in the window or the offscreen buffer. It also provides methods for copying to and from the framebuffer, such as copyTo(), copyFrom(). It also provides access to the OpenGL texture and the OpenCL context that are associated with the framebuffer. The fb() method of the V4D object can be used to emit a graph node that performs some operation on the framebuffer, such as drawing, blending, or filtering. The fb() method takes a stateless lambda as the first argument, and optionally some l-value references as the following arguments. The lambda defines the operation to be performed on the framebuffer, and the references define the dependencies or outputs of the operation.
  • The SourceContext is the context that handles the video input from a source, such as a file, a camera, or a network stream. The capture() method of the V4D object can be used to emit a graph node that performs some operation on the source buffer, such as processing, converting, or copying. The capture() method takes a stateless lambda as the first argument, and optionally some l-value references as the following arguments. The lambda defines the operation to be performed on the source buffer, and the references define the dependencies or outputs of the operation.
  • The SinkContext is the context that handles the video output to a sink, such as a file, a screen, or a network stream. The write() method of the V4D object can be used to emit a graph node that performs some operation on the sink buffer, such as processing, converting, or copying. The write() method takes a stateless lambda as the first argument, and optionally some l-value references as the following arguments. The lambda defines the operation to be performed on the sink buffer, and the references define the dependencies or outputs of the operation.
  • The NanoVGContext is the context that allows users to draw vector graphics using the NanoVG library. It provides methods for creating and manipulating paths, shapes, colors, gradients, fonts, and text. The nvg() method of the V4D object can be used to emit a graph node that performs some drawing operation using the NanoVG context, such as creating a path, filling a shape, or rendering text. The nvg() method takes a stateless lambda as the first argument, and optionally some l-value references as the following arguments. The lambda defines the drawing operation to be performed using the NanoVG context, and the references define the dependencies or outputs of the operation.
  • The ImGuiContext is the context that allows users to create a user interface using the ImGui library. It provides methods for creating and manipulating widgets, such as buttons, sliders, checkboxes, menus, and dialogs. It also provides access to the ImGui context that is associated with the framebuffer. The imgui() method of the V4D object can be used to emit a graph node that performs some user interface operation using the ImGui context, such as creating a widget, handling an input, or displaying a message. The imgui() method takes a stateless lambda as the first argument, and optionally some l-value references as the following arguments. The lambda defines the user interface operation to be performed using the ImGui context, and the references define the dependencies or outputs of the operation. Note that imgui() can only be called from Plan::gui, which is executed on the main thread.
  • The OnceContext is the context that allows users to perform some operation only once, such as initializing some data structures, loading some resources, or printing some information. The once() method of the V4D object can be used to emit a graph node that performs some operation only once, such as initializing some data structures, loading some resources, or printing some information. The once() method takes a stateless lambda as the first argument, and optionally some l-value references as the following arguments. The lambda defines the operation to be performed only once, and the references define the dependencies or outputs of the operation.
  • The PlainContext is the context that allows users to perform some operation without any specific context, such as setting some parameters, creating some data structures, or calling some functions. The plain() method of the V4D object can be used to emit a graph node that performs some operation without any specific context, such as setting some parameters, creating some data structures, or calling some functions. The plain() method takes a stateless lambda as the first argument, and optionally some l-value references as the following arguments. The lambda defines the operation to be performed without any specific context, and the references define the dependencies or outputs of the operation.
  • The GLContext is the context that allows users to perform some operation using the OpenGL context, such as creating and manipulating textures, buffers, shaders, and programs. The gl() method of the V4D object can be used to emit a graph node that performs some operation using the OpenGL context, such as creating and manipulating textures, buffers, shaders, and programs. The gl() method takes a stateless lambda as the first argument, and optionally some l-value references as the following arguments. The lambda defines the operation to be performed using the OpenGL context, and the references define the dependencies or outputs of the operation.

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V4D offers a way of writing graphical (on- and offscreen) high performance applications with OpenCV. It is light-weight and unencumbered by QT or GTK licenses. It features vector graphics using NanoVG a GUI based on ImGui and (on supported systems) OpenCL/OpenGL and OpenCL/VAAPI interoperability.

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