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Diffstat (limited to 'source/blender/compositor/operations/COM_OpenCLKernels.cl.h')
-rw-r--r--source/blender/compositor/operations/COM_OpenCLKernels.cl.h28
1 files changed, 15 insertions, 13 deletions
diff --git a/source/blender/compositor/operations/COM_OpenCLKernels.cl.h b/source/blender/compositor/operations/COM_OpenCLKernels.cl.h
index 7f60f97dfe8..e7de861710f 100644
--- a/source/blender/compositor/operations/COM_OpenCLKernels.cl.h
+++ b/source/blender/compositor/operations/COM_OpenCLKernels.cl.h
@@ -41,7 +41,7 @@ const char * clkernelstoh_COM_OpenCLKernels_cl = "/*\n" \
" float4 color = {0.0f,0.0f,0.0f,0.0f};\n" \
" float4 multiplyer = {0.0f,0.0f,0.0f,0.0f};\n" \
" float4 bokeh;\n" \
-" const float radius2 = radius * 2.0f;\n" \
+" const float radius2 = radius*2.0f;\n" \
" const int2 realCoordinate = coords + offsetOutput;\n" \
"\n" \
" tempBoundingBox = read_imagef(boundingBox, SAMPLER_NEAREST, coords).s0;\n" \
@@ -56,10 +56,10 @@ const char * clkernelstoh_COM_OpenCLKernels_cl = "/*\n" \
" float2 uv;\n" \
" int2 inputXy;\n" \
"\n" \
-" for (ny = minXY.y, inputXy.y = ny - offsetInput.y ; ny < maxXY.y ; ny += step, inputXy.y += step) {\n" \
+" for (ny = minXY.y, inputXy.y = ny - offsetInput.y ; ny < maxXY.y ; ny +=step, inputXy.y+=step) {\n" \
" uv.y = ((realCoordinate.y-ny)/radius2)*bokehImageDim.y+bokehImageCenter.y;\n" \
"\n" \
-" for (nx = minXY.x, inputXy.x = nx - offsetInput.x; nx < maxXY.x ; nx += step, inputXy.x += step) {\n" \
+" for (nx = minXY.x, inputXy.x = nx - offsetInput.x; nx < maxXY.x ; nx +=step, inputXy.x+=step) {\n" \
" uv.x = ((realCoordinate.x-nx)/radius2)*bokehImageDim.x+bokehImageCenter.x;\n" \
" bokeh = read_imagef(bokehImage, SAMPLER_NEAREST, uv);\n" \
" color += bokeh * read_imagef(inputImage, SAMPLER_NEAREST, inputXy);\n" \
@@ -88,8 +88,9 @@ const char * clkernelstoh_COM_OpenCLKernels_cl = "/*\n" \
" const int2 realCoordinate = coords + offsetOutput;\n" \
"\n" \
" float4 readColor;\n" \
+" float4 tempColor;\n" \
" float4 bokeh;\n" \
-" float tempSize;\n" \
+" float size;\n" \
" float4 multiplier_accum = {1.0f, 1.0f, 1.0f, 1.0f};\n" \
" float4 color_accum;\n" \
"\n" \
@@ -100,10 +101,10 @@ const char * clkernelstoh_COM_OpenCLKernels_cl = "/*\n" \
"\n" \
" {\n" \
" int2 inputCoordinate = realCoordinate - offsetInput;\n" \
-" float size = read_imagef(inputSize, SAMPLER_NEAREST, inputCoordinate).s0;\n" \
+" float size_center = read_imagef(inputSize, SAMPLER_NEAREST, inputCoordinate).s0;\n" \
" color_accum = read_imagef(inputImage, SAMPLER_NEAREST, inputCoordinate);\n" \
"\n" \
-" if (size > threshold) {\n" \
+" if (size_center > threshold) {\n" \
" for (int ny = miny; ny < maxy; ny += step) {\n" \
" inputCoordinate.s1 = ny - offsetInput.s1;\n" \
" float dy = ny - realCoordinate.s1;\n" \
@@ -111,13 +112,14 @@ const char * clkernelstoh_COM_OpenCLKernels_cl = "/*\n" \
" float dx = nx - realCoordinate.s0;\n" \
" if (dx != 0 || dy != 0) {\n" \
" inputCoordinate.s0 = nx - offsetInput.s0;\n" \
-" tempSize = read_imagef(inputSize, SAMPLER_NEAREST, inputCoordinate).s0;\n" \
-" if (tempSize > threshold) {\n" \
-" if (tempSize >= fabs(dx) && tempSize >= fabs(dy)) {\n" \
-" float2 uv = { 256.0f + dx * 256.0f / tempSize, 256.0f + dy * 256.0f / tempSize};\n" \
+" size = read_imagef(inputSize, SAMPLER_NEAREST, inputCoordinate).s0;\n" \
+" if (size > threshold) {\n" \
+" if (size >= fabs(dx) && size >= fabs(dy)) {\n" \
+" float2 uv = {256.0f + dx * 255.0f / size,\n" \
+" 256.0f + dy * 255.0f / size};\n" \
" bokeh = read_imagef(bokehImage, SAMPLER_NEAREST, uv);\n" \
-" readColor = read_imagef(inputImage, SAMPLER_NEAREST, inputCoordinate);\n" \
-" color_accum += bokeh * readColor;\n" \
+" tempColor = read_imagef(inputImage, SAMPLER_NEAREST, inputCoordinate);\n" \
+" color_accum += bokeh * tempColor;\n" \
" multiplier_accum += bokeh;\n" \
" }\n" \
" }\n" \
@@ -183,7 +185,7 @@ const char * clkernelstoh_COM_OpenCLKernels_cl = "/*\n" \
" for (nx = minXY.x, inputXy.x = nx - offsetInput.x; nx < maxXY.x ; nx ++, inputXy.x++) {\n" \
" const float deltaX = (realCoordinate.x - nx);\n" \
" const float deltaY = (realCoordinate.y - ny);\n" \
-" const float measuredDistance = deltaX * deltaX + deltaY * deltaY;\n" \
+" const float measuredDistance = deltaX * deltaX+deltaY * deltaY;\n" \
" if (measuredDistance <= distanceSquared) {\n" \
" value = min(value, read_imagef(inputImage, SAMPLER_NEAREST, inputXy).s0);\n" \
" }\n" \