Blink API
Blink API Example Plug-in

blinkBlurAndGainExamplePlugin.cpp

A simple example plug-in that uses the Blink API to do a two-pass box blur and gain on its input.

// Copyright (c) 2013 The Foundry Visionmongers Ltd. All Rights Reserved.
//DDImage includes
#include "DDImage/PlanarIop.h"
#include "DDImage/Knobs.h"
#include "DDImage/NukeWrapper.h"
#include "DDImage/Blink.h"
//Blink API includes
#include "Blink/Blink.h"
//Header containing the source strings for the Blink kernels we will use for image processing
#include "blurAndGainExampleKernels.h"
//Some information about the plug-in
static const char* const CLASS = "BlinkBlurAndGain";
static const char* const HELP = "Example of a simple box blur and gain operator that uses the Blink API.";
/*
* Simple Blink API example plug-in that does a two-pass box blur and applies a gain.
*/
// Blink plug-ins do their image processing on tiles rather than scanlines. They should always inherit from
// DD::Image::PlanarIops to get access to ImagePlanes, which can then be wrapped in Blink::Images for
// Blink-based image processing.
class BlinkBlurAndGain : public DD::Image::PlanarIop
{
protected:
// Reference to the GPU device to process on.
Blink::ComputeDevice _gpuDevice;
// Whether to process on the GPU, if available
bool _useGPUIfAvailable;
// The radius to use for the blur kernel.
int _radius;
// The amount of gain to apply.
float _gain;
// This holds the ProgramSource for the blur kernel.
Blink::ProgramSource _blurProgram;
// This holds the ProgramSource for the gain kernel.
Blink::ProgramSource _gainProgram;
public:
// Constructor. Initialize user controls and local variables to their default values.
BlinkBlurAndGain(Node* node)
: PlanarIop(node)
, _gpuDevice(Blink::ComputeDevice::CurrentGPUDevice())
, _useGPUIfAvailable(true)
, _blurProgram(BlurKernel)
, _gainProgram(GainKernel)
{
_radius = 3;
_gain = 2.0f;
}
// This override of an NDK function creates the controls that will be exposed to the user
void knobs(DD::Image::Knob_Callback f);
// The subclass-dependent portion of validate(). This is called by validate() after checking to see if it is needed.
void _validate(bool);
// Override for the getRequests() function on a PlanarIop
void getRequests(const DD::Image::Box& box, const DD::Image::ChannelSet& channels, int count, DD::Image::RequestOutput &reqData) const;
// Whether to process in stripes or full-frame.
virtual bool useStripes() const;
// Set the stripe height to use for processing.
virtual size_t stripeHeight() const;
// This function does all the work in a PlanarIop. It is guaranteed that outputPlane here will never have more than
// the 4 channels which can be stored in a Blink::Image.
void renderStripe(DD::Image::ImagePlane& outputPlane);
// Return the name of the class.
const char* Class() const { return CLASS; }
// Return a brief description of the node.
const char* node_help() const { return HELP; }
// Information to the plug-in manager of DDImage/Nuke.
static const Iop::Description description;
};
void BlinkBlurAndGain::knobs(DD::Image::Knob_Callback f)
{
// Add GPU knobs
Newline(f, "Local GPU: ");
const bool hasGPU = _gpuDevice.available();
std::string gpuName = hasGPU ? _gpuDevice.name() : "Not available";
Named_Text_knob(f, "gpuName", gpuName.c_str());
Newline(f);
Bool_knob(f, &_useGPUIfAvailable, "use_gpu", "Use GPU if available");
Divider(f);
// Add a parameter for the blur radius.
Int_knob(f, &_radius, "radius");
Tooltip(f, "The radius of the blur.");
// Add a parameter for the gain amount.
Float_knob(f, &_gain, DD::Image::IRange(0, 10), "gain");
Tooltip(f, "The amount of gain to apply.");
}
void BlinkBlurAndGain::_validate(bool for_real)
{
// Copy bbox channels etc from input0, which will validate it.
copy_info();
// Pad the output area this node can produce by the size of the blur radius.
info_.pad(_radius);
}
void BlinkBlurAndGain::getRequests(const DD::Image::Box& box, const DD::Image::ChannelSet& channels, int count, DD::Image::RequestOutput &reqData) const
{
DD::Image::Box inputBox = box;
// Request _radius extra pixels around the input.
inputBox.expand(_radius);
reqData.request(&input0(), inputBox, channels, count);
}
/*
* Override of PlanarIop function renderStripe(...). This does the image processing to produce a stripe of the output.
*/
void BlinkBlurAndGain::renderStripe(DD::Image::ImagePlane& outputPlane)
{
// Try so we can catch any blink exceptions
try {
// Work out the bounds of the area we need to fetch from the input. This will depend on the output bounds.
DD::Image::Box inputBox = outputPlane.bounds();
inputBox.expand(_radius);
inputBox.intersect(input0().info());
// Make an ImagePlane that satisfies this description.
DD::Image::ImagePlane inputPlane(inputBox, // the bounds of the input we want to fetch
outputPlane.packed(), // input data should be packed in the same way as the output plane
outputPlane.channels(), // input data should have the same channels as the output plane
outputPlane.nComps()); // input data should have the same number of components as the output plane
// Fetch the data from input0 into our ImagePlane.
input0().fetchPlane(inputPlane);
// Return if processing was aborted during the fetch (e.g. by the user changing a parameter).
if (aborted()) {
return;
}
// This function must be called on the output plane before writing to it.
outputPlane.makeWritable();
// Wrap the input and output planes as Blink images. The underlying data stays the same.
Blink::Image outputPlaneAsImage;
Blink::Image inputPlaneAsImage;
bool success = (DD::Image::Blink::ImagePlaneAsBlinkImage(outputPlane, outputPlaneAsImage) &&
DD::Image::Blink::ImagePlaneAsBlinkImage(inputPlane, inputPlaneAsImage));
// Check the fetch succeeded.
if (!success) {
error("Unable to fetch Blink image for image plane.");
return;
}
// Has the user requested GPU processing, and is the GPU available for processing on?
bool usingGPU = _useGPUIfAvailable && _gpuDevice.available() && !_forceCPU;
// Get a reference to the ComputeDevice to do our processing on.
Blink::ComputeDevice computeDevice = usingGPU ? _gpuDevice : Blink::ComputeDevice::CurrentCPUDevice();
// Make a temporary image to blur into, on the GPU or CPU as appropriate. This should have the same layout as the input image.
Blink::Image intermediateImage = inputPlaneAsImage.makeLike(computeDevice);
// Distribute our input image from the device used by NUKE to our ComputeDevice.
Blink::Image inputImageOnComputeDevice = inputPlaneAsImage.distributeTo(computeDevice);
// This will bind the compute device to the calling thread. This bind should always be performed before
// beginning any image processing with Blink.
Blink::ComputeDeviceBinder binder(computeDevice);
// Make a vector containing the images we want to run the first kernel over.
std::vector<Blink::Image> images;
images.push_back(inputImageOnComputeDevice);
images.push_back(intermediateImage);
// Make a Blink::Kernel from the source in _blurProgram to do the horizontal blur.
Blink::Kernel horizontalBlurKernel(_blurProgram,
computeDevice,
images,
kBlinkCodegenDefault);
horizontalBlurKernel.setParamValue("Radius", _radius);
horizontalBlurKernel.setParamValue("Horizontal", true);
// Run the horizontal blur kernel. Because we haven't specified the bounds to iterate over, these
// will be the bounds of the last image passed in - in this case, the intermediateImage.
horizontalBlurKernel.iterate();
// If we are on the GPU, we need to make an output image, otherwise we can just use the one from NUKE.
Blink::Image outputImage = usingGPU ? outputPlaneAsImage.makeLike(_gpuDevice) : outputPlaneAsImage;
// Reset the images vector to hold the images needed for the vertical blur.
images.clear();
images.push_back(intermediateImage);
images.push_back(outputImage);
// Make a Blink::Kernel from the source in _blurProgram to do the vertical blur.
Blink::Kernel verticalBlurKernel(_blurProgram,
computeDevice,
images,
kBlinkCodegenDefault);
verticalBlurKernel.setParamValue("Radius", _radius);
verticalBlurKernel.setParamValue("Horizontal", false);
// Run the vertical blur kernel. Because we haven't specified the bounds to iterate over, these
// will be the bounds of the last image passed in - in this case, the outputImage.
verticalBlurKernel.iterate();
// The gain kernel requires only the output image as input/output.
images.clear();
images.push_back(outputImage);
// Make a Blink::Kernel from the source in _gainProgram to do the gain.
Blink::Kernel gainKernel(_gainProgram,
computeDevice,
images,
kBlinkCodegenDefault);
gainKernel.setParamValue("Gain", _gain);
// Run the gain kernel over the output image.
gainKernel.iterate();
// If we're using the GPU, copy the result back to NUKE's output plane.
if (usingGPU) {
outputPlaneAsImage.copyFrom(outputImage);
}
}
catch (Blink::Exception &ex) {
// if blink has encountered an exception report it
error(ex.userMessage().c_str());
}
}
/*
* Override of PlanarIop function; returns true.
* renderStripe() will be called on imageplanes of size info().w() x stripeHeight().
*/
bool BlinkBlurAndGain::useStripes() const
{
return true;
}
/*
* Override of PlanarIop function;
* returns a fixed stripe height of 256.
*/
size_t BlinkBlurAndGain::stripeHeight() const
{
return 256;
}
/* This is a function that creates an instance of the operator, and is
needed for the Iop::Description to work.
*/
static DD::Image::Iop* BlinkBlurAndGainCreate(Node* node)
{
return new BlinkBlurAndGain(node);
}
/* The Iop::Description is how NUKE knows what the name of the operator is,
how to create one, and the menu item to show the user. The menu item may be
0 if you do not want the operator to be visible.
*/
const DD::Image::Iop::Description BlinkBlurAndGain::description(CLASS, "Filter/BlinkBlurAndGain",
BlinkBlurAndGainCreate);


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