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https://github.com/Xaymar/obs-StreamFX
synced 2024-11-10 22:05:06 +00:00
filter-blur: Use only a single Gaussian Kernel Texture
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parent
6c1e874369
commit
1ba9145fbd
3 changed files with 77 additions and 147 deletions
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@ -14,20 +14,13 @@ uniform float2 u_texelDelta;
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uniform texture2d kernel;
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uniform float2 kernelTexel;
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sampler_state pointClampSampler {
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sampler_state textureSampler {
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Filter = Point;
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AddressU = Clamp;
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AddressV = Clamp;
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MinLOD = 0;
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MaxLOD = 0;
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};
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sampler_state bilinearClampSampler {
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Filter = Bilinear;
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AddressU = Clamp;
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AddressV = Clamp;
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MinLOD = 0;
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MaxLOD = 0;
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};
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struct VertDataIn {
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float4 pos : POSITION;
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@ -47,81 +40,18 @@ VertDataOut VSDefault(VertDataIn v_in)
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return vert_out;
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}
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// Gaussian Blur
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float Gaussian(float x, float o) {
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const float pivalue = 3.1415926535897932384626433832795;
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return (1.0 / (o * sqrt(2.0 * pivalue))) * exp((-(x * x)) / (2 * (o * o)));
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}
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float4 InternalGaussian(float2 p_uv, float2 p_uvStep, int p_radius,
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texture2d p_image, float2 p_imageTexel) {
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float l_gauss = Gaussian(0, p_size);
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float4 l_value = p_image.Sample(pointClampSampler, p_uv) * gauss;
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float2 l_uvoffset = float2(0, 0);
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for (int k = 1; k <= p_size; k++) {
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l_uvoffset += p_uvStep;
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float l_g = Gaussian(k, p_size);
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float4 l_p = p_image.Sample(pointClampSampler, p_uv + l_uvoffset) * l_g;
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float4 l_n = p_image.Sample(pointClampSampler, p_uv - l_uvoffset) * l_g;
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l_value += l_p + l_n;
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l_gauss += l_g;
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}
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l_value = l_value * (1.0 / l_gauss);
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return l_value;
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}
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float4 InternalGaussianPrecalculated(float2 p_uv, float2 p_uvStep, int p_radius,
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texture2d p_image, float2 p_imageTexel,
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texture2d p_kernel, float2 p_kernelTexel) {
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float4 l_value = p_image.Sample(pointClampSampler, p_uv)
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* kernel.Sample(pointClampSampler, float2(0, 0)).r;
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float2 l_uvoffset = float2(0, 0);
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for (int k = 1; k <= p_radius; k++) {
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l_uvoffset += p_uvStep;
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float l_g = p_kernel.Sample(pointClampSampler, p_kernelTexel * k).r;
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float4 l_p = p_image.Sample(pointClampSampler, p_uv + l_uvoffset) * l_g;
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float4 l_n = p_image.Sample(pointClampSampler, p_uv - l_uvoffset) * l_g;
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l_value += l_p + l_n;
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}
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return l_value;
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}
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/*float4 InternalGaussianPrecalculatedNVOptimized(float2 p_uv, int p_size,
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texture2d p_image, float2 p_imageTexel,
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texture2d p_kernel, float2 p_kernelTexel) {
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if (p_size % 2 == 0) {
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float4 l_value = p_image.Sample(pointClampSampler, p_uv)
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* kernel.Sample(pointClampSampler, float2(0, 0)).r;
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float2 l_uvoffset = p_texel;
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float2 l_koffset = p_kernelTexel;
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for (int k = 1; k <= p_size; k++) {
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float l_g = p_kernel.Sample(pointClampSampler, l_koffset).r;
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float4 l_p = p_image.Sample(pointClampSampler, p_uv + l_uvoffset) * l_g;
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float4 l_n = p_image.Sample(pointClampSampler, p_uv - l_uvoffset) * l_g;
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l_value += l_p + l_n;
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l_uvoffset += p_texel;
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l_koffset += p_kernelTexel;
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}
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return l_value;
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} else {
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return InternalGaussianPrecalculated(p_uv, p_image, p_texel, p_size, p_kernel, p_kerneltexel);)
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}
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}*/
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float4 PSGaussian(VertDataOut v_in) : TARGET {
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//return InternalGaussian(v_in.uv, u_texelDelta, u_image, u_imageTexel, u_radius);
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///*
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return InternalGaussianPrecalculated(
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v_in.uv, u_texelDelta, u_radius,
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u_image, u_imageTexel,
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kernel, kernelTexel);//*/
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/*
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return InternalGaussianPrecalculatedNVOptimize(
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v_in.uv, u_texelDelta, u_radius,
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u_image, u_imageTexel,
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kernel, kernelTexel);//*/
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float2 uvOffset = float2(0, 0);
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float4 rgba = u_image.SampleLevel(textureSampler, v_in.uv, 0)
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* kernel.SampleLevel(textureSampler, (float2(0, u_radius - 1) * kernelTexel), 0).r;
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for (int k = 1; k <= u_radius; k++) {
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uvOffset += u_texelDelta;
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float l_g = kernel.SampleLevel(textureSampler, (float2(k, u_radius - 1) * kernelTexel), 0).r;
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float4 l_p = u_image.SampleLevel(textureSampler, v_in.uv + uvOffset, 0) * l_g;
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float4 l_n = u_image.SampleLevel(textureSampler, v_in.uv - uvOffset, 0) * l_g;
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rgba += l_p + l_n;
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}
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return rgba;
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}
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technique Draw
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@ -22,6 +22,7 @@
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#include "util-math.h"
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#include <math.h>
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#include <map>
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#include <inttypes.h>
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extern "C" {
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#pragma warning (push)
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@ -63,50 +64,6 @@ enum ColorFormat : uint64_t {
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};
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// Global Data
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const size_t MaxKernelSize = 25;
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std::map<std::string, std::shared_ptr<gs::effect>> g_effects;
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std::vector<std::shared_ptr<gs::texture>> g_gaussianKernels;
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double_t bilateral(double_t x, double_t o) {
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return 0.39894 * exp(-0.5 * (x * x) / (o * o)) / o;
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}
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static void GenerateGaussianKernelTextures() {
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size_t textureBufferSize = GetNearestPowerOfTwoAbove(MaxKernelSize);
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g_gaussianKernels.resize(MaxKernelSize);
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std::vector<double_t> mathBuffer(MaxKernelSize + 1);
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std::vector<float_t> textureBuffer(textureBufferSize);
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for (size_t n = 0; n < MaxKernelSize; n++) {
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size_t width = 2 + n;
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// Generate Gaussian Gradient and calculate sum.
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double_t sum = 0;
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for (size_t p = 0; p < width; p++) {
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mathBuffer[p] = Gaussian1D(double_t(p), double_t(n + 1));
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sum += mathBuffer[p] * (p > 0 ? 2 : 1);
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}
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// Normalize
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double_t inverseSum = 1.0 / sum;
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for (size_t p = 0; p < width; p++) {
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textureBuffer[p] = float_t(mathBuffer[p] * inverseSum);
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}
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// Create Texture
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uint8_t* data = reinterpret_cast<uint8_t*>(textureBuffer.data());
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const uint8_t** pdata = const_cast<const uint8_t**>(&data);
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try {
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std::shared_ptr<gs::texture> tex = std::make_shared<gs::texture>((uint32_t)textureBufferSize, 1,
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gs_color_format::GS_R32F, 1, pdata, 0);
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g_gaussianKernels[n] = tex;
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} catch (std::runtime_error ex) {
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P_LOG_ERROR("<filter-blur> Failed to create gaussian kernel for %d width.", n);
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}
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}
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}
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Filter::Blur::Blur() {
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memset(&m_sourceInfo, 0, sizeof(obs_source_info));
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m_sourceInfo.id = "obs-stream-effects-filter-blur";
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@ -135,7 +92,7 @@ Filter::Blur::Blur() {
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for (auto& kv : effects) {
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try {
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std::shared_ptr<gs::effect> effect = std::make_shared<gs::effect>(kv.second);
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g_effects.insert(std::make_pair(kv.first, effect));
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m_effects.insert(std::make_pair(kv.first, effect));
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} catch (std::runtime_error ex) {
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P_LOG_ERROR("<filter-blur> Loading effect '%s' (path: '%s') failed with error(s): %s",
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kv.first.c_str(), kv.second.c_str(), ex.what());
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@ -143,15 +100,52 @@ Filter::Blur::Blur() {
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}
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}
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GenerateGaussianKernelTextures();
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generate_kernel_textures();
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obs_leave_graphics();
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obs_register_source(&m_sourceInfo);
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}
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Filter::Blur::~Blur() {
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g_effects.clear();
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g_gaussianKernels.clear();
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m_effects.clear();
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}
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void Filter::Blur::generate_gaussian_kernels() {
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// 2D texture, horizontal is value, vertical is kernel size.
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size_t textureSizePOT = GetNearestPowerOfTwoAbove(max_kernel_size);
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std::vector<float_t> textureBuffer(textureSizePOT * textureSizePOT);
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std::vector<float_t> mathBuffer(textureSizePOT);
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for (size_t width = 1; width <= max_kernel_size; width++) {
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size_t v = (width - 1) * textureSizePOT;
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// Calculate and normalize
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float_t sum = 0;
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for (size_t p = 0; p <= width; p++) {
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mathBuffer[p] = float_t(Gaussian1D(double_t(p), double_t(width)));
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sum += mathBuffer[p] * (p > 0 ? 2 : 1);
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}
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// Normalize to Texture Buffer
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double_t inverseSum = 1.0 / sum;
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for (size_t p = 0; p <= width; p++) {
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textureBuffer[v + p] = float_t(mathBuffer[p] * inverseSum);
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}
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}
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// Create Texture
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try {
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auto buf = reinterpret_cast<uint8_t*>(textureBuffer.data());
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auto rbuf = const_cast<const uint8_t**>(&buf);
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m_gaussianKernelTexture = std::make_shared<gs::texture>(uint32_t(textureSizePOT), uint32_t(textureSizePOT), GS_R32F, 1, rbuf, 0);
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} catch (std::runtime_error ex) {
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P_LOG_ERROR("<filter-blur> Failed to create gaussian kernel texture.");
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}
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}
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void Filter::Blur::generate_kernel_textures() {
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generate_gaussian_kernels();
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}
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const char * Filter::Blur::get_name(void *) {
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@ -271,7 +265,7 @@ void Filter::Blur::video_render(void *ptr, gs_effect_t *effect) {
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Filter::Blur::Instance::Instance(obs_data_t *data, obs_source_t *context) : m_source(context) {
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obs_enter_graphics();
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m_effect = g_effects.at("Box Blur");
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m_effect = filterBlurInstance->m_effects.at("Box Blur");
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m_primaryRT = gs_texrender_create(GS_RGBA, GS_ZS_NONE);
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m_secondaryRT = gs_texrender_create(GS_RGBA, GS_ZS_NONE);
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m_rtHorizontal = gs_texrender_create(GS_RGBA, GS_ZS_NONE);
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@ -303,13 +297,13 @@ void Filter::Blur::Instance::update(obs_data_t *data) {
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m_type = (Type)obs_data_get_int(data, S_TYPE);
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switch (m_type) {
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case Filter::Blur::Type::Box:
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m_effect = g_effects.at("Box Blur");
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m_effect = filterBlurInstance->m_effects.at("Box Blur");
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break;
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case Filter::Blur::Type::Gaussian:
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m_effect = g_effects.at("Gaussian Blur");
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m_effect = filterBlurInstance->m_effects.at("Gaussian Blur");
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break;
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case Filter::Blur::Type::Bilateral:
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m_effect = g_effects.at("Bilateral Blur");
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m_effect = filterBlurInstance->m_effects.at("Bilateral Blur");
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break;
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}
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m_size = (uint64_t)obs_data_get_int(data, S_SIZE);
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@ -345,7 +339,7 @@ void Filter::Blur::Instance::video_render(gs_effect_t *effect) {
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uint32_t
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baseW = obs_source_get_base_width(target),
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baseH = obs_source_get_base_height(target);
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gs_effect_t* colorConversionEffect = g_effects.count("Color Conversion") ? g_effects.at("Color Conversion")->get_object() : nullptr;
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gs_effect_t* colorConversionEffect = filterBlurInstance->m_effects.count("Color Conversion") ? filterBlurInstance->m_effects.at("Color Conversion")->get_object() : nullptr;
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// Skip rendering if our target, parent or context is not valid.
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if (!target || !parent || !m_source) {
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@ -615,20 +609,18 @@ bool Filter::Blur::Instance::apply_bilateral_param() {
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}
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bool Filter::Blur::Instance::apply_gaussian_param() {
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bool result = true;
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if (m_type != Type::Gaussian)
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if (m_effect->has_parameter("kernel")) {
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m_effect->get_parameter("kernel").set_texture(filterBlurInstance->m_gaussianKernelTexture);
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} else {
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return false;
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std::shared_ptr<gs::texture> tex;
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if ((m_size - 1) < MaxKernelSize) {
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tex = g_gaussianKernels[size_t(m_size - 1)];
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result = result && gs_set_param_texture(m_effect->get_object(), "kernel", tex->get_object());
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}
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vec2 kerneltexel;
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vec2_set(&kerneltexel, 1.0f / gs_texture_get_width(tex->get_object()), 0);
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result = result && gs_set_param_float2(m_effect->get_object(), "kernelTexel", &kerneltexel);
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if (m_effect->has_parameter("kernelTexel")) {
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auto tex = filterBlurInstance->m_gaussianKernelTexture->get_object();
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float_t wb = 1.0f / gs_texture_get_width(tex);
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float_t hb = 1.0f / gs_texture_get_height(tex);
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m_effect->get_parameter("kernelTexel").set_float2(wb, hb);
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}
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return result;
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return true;
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}
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@ -31,6 +31,9 @@ namespace Filter {
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Blur();
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~Blur();
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void generate_gaussian_kernels();
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void generate_kernel_textures();
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public:
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enum Type : int64_t {
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Box,
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@ -38,9 +41,14 @@ namespace Filter {
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Bilateral,
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};
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std::shared_ptr<gs::texture> m_gaussianKernelTexture;
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std::map<std::string, std::shared_ptr<gs::effect>> m_effects;
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private:
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obs_source_info m_sourceInfo;
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static const size_t max_kernel_size = 25;
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public /*static*/:
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static const char *get_name(void *);
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static void get_defaults(obs_data_t *);
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