CodeWalker/Shaders/PPBloomFilterVCS.hlsl
2017-09-21 20:33:05 +10:00

73 lines
2.5 KiB
HLSL

//VERTICAL FILTER ONLY
//--------------------------------------------------------------------------------------
// File: FilterCS.hlsl
//
// The CSs for doing vertical and horizontal blur, used in CS path of
// HDRToneMappingCS11 sample
//
// Copyright (c) Microsoft Corporation. All rights reserved.
//--------------------------------------------------------------------------------------
StructuredBuffer<float4> InputBuf : register( t0 );
Texture2D InputTex : register( t1 );
RWStructuredBuffer<float4> Result : register( u0 );
cbuffer cb0
{
float4 g_avSampleWeights[15];
int2 g_outputsize;
int2 g_inputsize;
}
#define kernelhalf 7
#define groupthreads 128
groupshared float4 temp[groupthreads];
[numthreads( groupthreads, 1, 1 )]
void main( uint3 Gid : SV_GroupID, uint GI : SV_GroupIndex )
{
int offsety = GI - kernelhalf + (groupthreads - kernelhalf * 2) * Gid.y;
offsety = clamp( offsety, 0, g_inputsize.y-1 );
int offset = Gid.x + offsety * g_inputsize.x;
temp[GI] = InputBuf[offset];
GroupMemoryBarrierWithGroupSync();
// Vertical blur
if ( GI >= kernelhalf &&
GI < (groupthreads - kernelhalf) &&
( (GI - kernelhalf + (groupthreads - kernelhalf * 2) * Gid.y) < (uint)g_outputsize.y) )
{
float4 vOut = 0;
[unroll]
for ( int i = -kernelhalf; i <= kernelhalf; ++i )
vOut += temp[GI + i] * g_avSampleWeights[i + kernelhalf];
Result[Gid.x + (GI - kernelhalf + (groupthreads - kernelhalf * 2) * Gid.y) * g_outputsize.x] = float4(vOut.rgb, 1.0f);
}
}
//[numthreads( groupthreads, 1, 1 )]
//void CSHorizFilter( uint3 Gid : SV_GroupID, uint GI : SV_GroupIndex )
//{
// int2 coord = int2( GI - kernelhalf + (groupthreads - kernelhalf * 2) * Gid.x, Gid.y );
// coord = clamp( coord, int2(0, 0), int2(g_inputsize.x-1, g_inputsize.y-1) );
// temp[GI] = InputTex.Load( int3(coord, 0) );
//
// GroupMemoryBarrierWithGroupSync();
//
// // Horizontal blur
// if ( GI >= kernelhalf &&
// GI < (groupthreads - kernelhalf) &&
// ( (Gid.x * (groupthreads - 2 * kernelhalf) + GI - kernelhalf) < g_outputsize.x) )
// {
// float4 vOut = 0;
//
// [unroll]
// for ( int i = -kernelhalf; i <= kernelhalf; ++i )
// vOut += temp[GI + i] * g_avSampleWeights[i + kernelhalf];
//
// Result[GI - kernelhalf + (groupthreads - kernelhalf * 2) * Gid.x + Gid.y * g_outputsize.x] = float4(vOut.rgb, 1.0f);
// }
//}