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@@ -21,6 +21,8 @@
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//
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#include <Urho3D/Container/ArrayPtr.h>
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+#include <Urho3D/Core/Context.h>
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+#include <Urho3D/IO/File.h>
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#include <Urho3D/Core/ProcessUtils.h>
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#include <Urho3D/Core/StringUtils.h>
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@@ -34,9 +36,26 @@
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using namespace Urho3D;
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+// Kernel used for blurring IES lights
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+static const float sigma3Kernel9x9[9 * 9] = {
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+ 0.00401f, 0.005895f, 0.007763f, 0.009157f, 0.009675f, 0.009157f, 0.007763f, 0.005895f, 0.00401f,
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+ 0.005895f, 0.008667f, 0.011412f, 0.013461f, 0.014223f, 0.013461f, 0.011412f, 0.008667f, 0.005895f,
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+ 0.007763f, 0.011412f, 0.015028f, 0.017726f, 0.018729f, 0.017726f, 0.015028f, 0.011412f, 0.007763f,
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+ 0.009157f, 0.013461f, 0.017726f, 0.020909f, 0.022092f, 0.020909f, 0.017726f, 0.013461f, 0.009157f,
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+ 0.009675f, 0.014223f, 0.018729f, 0.022092f, 0.023342f, 0.022092f, 0.018729f, 0.014223f, 0.009675f,
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+ 0.009157f, 0.013461f, 0.017726f, 0.020909f, 0.022092f, 0.020909f, 0.017726f, 0.013461f, 0.009157f,
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+ 0.007763f, 0.011412f, 0.015028f, 0.017726f, 0.018729f, 0.017726f, 0.015028f, 0.011412f, 0.007763f,
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+ 0.005895f, 0.008667f, 0.011412f, 0.013461f, 0.014223f, 0.013461f, 0.011412f, 0.008667f, 0.005895f,
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+ 0.00401f, 0.005895f, 0.007763f, 0.009157f, 0.009675f, 0.009157f, 0.007763f, 0.005895f, 0.00401f
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+};
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+
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int main(int argc, char** argv);
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void Run(const Vector<String>& arguments);
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+bool ReadIES(File* data, PODVector<float>& vertical, PODVector<float>& horizontal, PODVector<float>& luminance);
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+void WriteIES(unsigned char* data, unsigned width, unsigned height, PODVector<float>& horizontal, PODVector<float>& vertical, PODVector<float>& luminance);
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+void Blur(unsigned char* data, unsigned width, unsigned height, const float* kernel, unsigned kernelWidth);
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+
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int main(int argc, char** argv)
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{
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Vector<String> arguments;
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@@ -54,69 +73,335 @@ int main(int argc, char** argv)
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void Run(const Vector<String>& arguments)
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{
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if (arguments.Size() < 3)
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- ErrorExit("Usage: RampGenerator <output png file> <width> <power> [dimensions]\n");
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+ ErrorExit("Usage: RampGenerator <output png file> <width> <power> [dimensions]\n"
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+ "IES Usage: RampGenerator <input file> <output png file> <width> [dimensions]");
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+
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+ if (arguments[0].EndsWith(".ies")) // Generate an IES light derived ramp
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+ {
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+ String inputFile = arguments[0];
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+ String ouputFile = arguments[1];
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+ int width = ToInt(arguments[2]);
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+ int dim = 1;
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+ if (arguments.Size() > 3)
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+ dim = ToInt(arguments[3]);
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+ int blurLevel = 0;
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+ if (arguments.Size() > 4)
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+ blurLevel = ToInt(arguments[4]);
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+
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+ const int height = dim == 2 ? width : 1;
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- int width = ToInt(arguments[1]);
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- float power = ToFloat(arguments[2]);
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+ Context context;
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+ File file(&context);
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+ file.Open(inputFile);
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- int dimensions = 1;
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- if (arguments.Size() > 3)
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- dimensions = ToInt(arguments[3]);
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+ PODVector<float> horizontal;
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+ PODVector<float> vertical;
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+ PODVector<float> luminance;
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+ ReadIES(&file, vertical, horizontal, luminance);
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- if (width < 2)
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- ErrorExit("Width must be at least 2");
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+ SharedArrayPtr<unsigned char> data(new unsigned char[width * height]);
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+ WriteIES(data, width, height, vertical, horizontal, luminance);
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- if (dimensions < 1 || dimensions > 2)
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- ErrorExit("Dimensions must be 1 or 2");
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+ // Apply a blur, simpler than interpolating through the 2 dimensions of coarse samples
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+ Blur(data, width, height, sigma3Kernel9x9, 9);
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- if (dimensions == 1)
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+ stbi_write_png(arguments[1].CString(), width, height, 1, data.Get(), 0);
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+ }
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+ else // Generate a regular power based ramp
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{
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- SharedArrayPtr<unsigned char> data(new unsigned char[width]);
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+ int width = ToInt(arguments[1]);
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+ float power = ToFloat(arguments[2]);
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- for (int i = 0; i < width; ++i)
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+ int dimensions = 1;
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+ if (arguments.Size() > 3)
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+ dimensions = ToInt(arguments[3]);
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+
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+ if (width < 2)
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+ ErrorExit("Width must be at least 2");
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+
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+ if (dimensions < 1 || dimensions > 2)
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+ ErrorExit("Dimensions must be 1 or 2");
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+
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+ if (dimensions == 1)
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{
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- float x = ((float)i) / ((float)(width - 1));
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+ SharedArrayPtr<unsigned char> data(new unsigned char[width]);
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- data[i] = (unsigned char)((1.0f - pow(x, power)) * 255.0f);
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- }
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+ for (int i = 0; i < width; ++i)
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+ {
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+ float x = ((float)i) / ((float)(width - 1));
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- // Ensure start is full bright & end is completely black
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- data[0] = 255;
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- data[width - 1] = 0;
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+ data[i] = (unsigned char)((1.0f - pow(x, power)) * 255.0f);
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+ }
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- stbi_write_png(arguments[0].CString(), width, 1, 1, data.Get(), 0);
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- }
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+ // Ensure start is full bright & end is completely black
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+ data[0] = 255;
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+ data[width - 1] = 0;
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- if (dimensions == 2)
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- {
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- SharedArrayPtr<unsigned char> data(new unsigned char[width * width]);
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+ stbi_write_png(arguments[0].CString(), width, 1, 1, data.Get(), 0);
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+ }
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- for (int y = 0; y < width; ++y)
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+ if (dimensions == 2)
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{
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- for (int x = 0; x < width; ++x)
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+ SharedArrayPtr<unsigned char> data(new unsigned char[width * width]);
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+
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+ for (int y = 0; y < width; ++y)
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{
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- unsigned i = y * width + x;
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+ for (int x = 0; x < width; ++x)
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+ {
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+ unsigned i = y * width + x;
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- float halfWidth = width * 0.5f;
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- float xf = (x - halfWidth + 0.5f) / (halfWidth - 0.5f);
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- float yf = (y - halfWidth + 0.5f) / (halfWidth - 0.5f);
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- float dist = sqrtf(xf * xf + yf * yf);
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- if (dist > 1.0f)
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- dist = 1.0f;
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+ float halfWidth = width * 0.5f;
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+ float xf = (x - halfWidth + 0.5f) / (halfWidth - 0.5f);
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+ float yf = (y - halfWidth + 0.5f) / (halfWidth - 0.5f);
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+ float dist = sqrtf(xf * xf + yf * yf);
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+ if (dist > 1.0f)
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+ dist = 1.0f;
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- data[i] = (unsigned char)((1.0f - pow(dist, power)) * 255.0f);
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+ data[i] = (unsigned char)((1.0f - pow(dist, power)) * 255.0f);
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+ }
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}
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+
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+ // Ensure the border is completely black
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+ for (int x = 0; x < width; ++x)
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+ {
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+ data[x] = 0;
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+ data[(width - 1) * width + x] = 0;
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+ data[x * width] = 0;
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+ data[x * width + (width - 1)] = 0;
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+ }
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+
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+ stbi_write_png(arguments[0].CString(), width, width, 1, data.Get(), 0);
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}
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+ }
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+}
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+
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+unsigned GetSample(float position, PODVector<float>& inputs)
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+{
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+ unsigned pos = 0;
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+ // Early outs
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+ if (position < inputs[0])
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+ return 0;
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+ else if (position > inputs.Back())
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+ return inputs.Size() - 1;
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+
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+ // Find best candidate
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+ float closestVal = M_INFINITY;
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+ unsigned samplePos = -1;
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+ for (unsigned i = 0; i < inputs.Size(); ++i)
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+ {
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+ float val = inputs[i];
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+ float diff = Abs(val - position);
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+ if (diff < closestVal)
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+ {
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+ closestVal = diff;
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+ samplePos = i;
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+ }
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+ }
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+
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+ return samplePos;
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+}
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+
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+bool IsWhitespace(const String& string)
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+{
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+ bool anyNot = false;
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+ for (unsigned i = 0; i < string.Length(); ++i)
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+ {
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+ if (!::isspace(string[i]))
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+ anyNot = true;
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+ }
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+ return !anyNot;
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+}
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+
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+float PopFirstFloat(Vector<String>& words)
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+{
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+ if (words.Size() > 0)
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+ {
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+ float ret = ToFloat(words[0]);
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+ words.Erase(0);
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+ return ret;
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+ }
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+ return -1.0f; // is < 0 ever valid?
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+}
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+
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+int PopFirstInt(Vector<String>& words)
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+{
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+ if (words.Size() > 0)
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+ {
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+ int ret = ToInt(words[0]);
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+ words.Erase(0);
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+ return ret;
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+ }
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+ return -1; // < 0 ever valid?
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+}
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+
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+bool ReadIES(File* data, PODVector<float>& vertical, PODVector<float>& horizontal, PODVector<float>& luminance)
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+{
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+ String line = data->ReadLine();
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+ if (!line.Contains("IESNA:LM-63-1995") && !line.Contains("IESNA:LM-63-2002"))
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+ ErrorExit("Unsupported format: " + line);
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+
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+ // Skip over the misc data
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+ while (!data->IsEof())
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+ {
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+ line = data->ReadLine();
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+ if (line.Contains("TILT=NONE"))
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+ break;
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+ else if (line.Contains("TILT=")) // tilt is a whole different ballgame
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+ ErrorExit("Unsupported tilt: " + line);
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+ else if (line.Contains("[")) // eat this line, it's metadata
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+ continue;
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+ }
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+
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+ // Collect everything into a a list to process, we're now reading actual values
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+ Vector<String> lines;
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+ while (!data->IsEof())
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+ lines.Push(data->ReadLine());
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+ Vector<String> words;
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+ for (unsigned i = 0; i < lines.Size(); ++i)
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+ words.Push(lines[i].Split(' '));
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- // Ensure the border is completely black
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- for (int x = 0; x < width; ++x)
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+ // Prune any 'junk' collected
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+ for (unsigned i = 0; i < words.Size(); ++i)
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+ {
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+ if (words[i].Empty() || IsWhitespace(words[i]))
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{
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- data[x] = 0;
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- data[(width - 1) * width + x] = 0;
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- data[x * width] = 0;
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- data[x * width + (width - 1)] = 0;
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+ words.Erase(i);
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+ --i;
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}
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+ }
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+
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+ const int sampleCount = PopFirstInt(words);
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+ const float lumens = PopFirstFloat(words);
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+ const float multiplier = PopFirstFloat(words); // Scales the candelas, used below
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+ const int verticalCount = PopFirstInt(words); //longitude
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+ const int horizontalCount = PopFirstInt(words); //latitude
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+ const int photometricType = PopFirstInt(words);
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+ const int measureType = PopFirstInt(words); // feet or meters
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+ const float width = PopFirstFloat(words);
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+ const float length = PopFirstFloat(words);
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+ const float height = PopFirstFloat(words);
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+ const float ballast = PopFirstFloat(words);
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+ PopFirstFloat(words); // Junk, called 'reserved' spot in spec
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+ PopFirstFloat(words); // Watts, unused
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- stbi_write_png(arguments[0].CString(), width, width, 1, data.Get(), 0);
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+ for (int i = 0; i < verticalCount; ++i)
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+ {
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+ float value = PopFirstFloat(words);
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+ vertical.Push(value);
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+ }
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+
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+ for (int i = 0; i < horizontalCount; ++i)
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+ {
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+ float value = PopFirstFloat(words);
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+ horizontal.Push(value);
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}
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+
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+ for (int x = 0; x < horizontalCount; ++x)
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+ {
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+ for (int y = 0; y < verticalCount; ++y)
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+ luminance.Push(PopFirstFloat(words) * multiplier);
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+ }
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+
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+ return true;
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}
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+
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+void WriteIES(unsigned char* data, unsigned width, unsigned height, PODVector<float>& horizontal, PODVector<float>& vertical, PODVector<float>& luminance)
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+{
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+ // Find maximum luminance value
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+ float maximum = -1;
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+ for (unsigned i = 0; i < luminance.Size(); ++i)
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+ maximum = Max(maximum, luminance[i]);
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+
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+ // Find maximum radial slice
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+ float maxVert = 0;
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+ for (unsigned i = 0; i < vertical.Size(); ++i)
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+ maxVert = Max(maxVert, vertical[i]);
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+
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+ // Find maximum altitude value
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+ float maxHoriz = 0;
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+ for (unsigned i = 0; i < horizontal.Size(); ++i)
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+ maxHoriz = Max(maxHoriz, horizontal[i]);
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+
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+ const float inverseLightValue = 1.0f / maximum;
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+ const float inverseWidth = 1.0f / width;
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+ const float inverseHeight = 1.0f / height;
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+
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+ float dirY = -1.0f;
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+ const float stepX = 2.0f / width;
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+ const float stepY = 2.0f / height;
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+ Vector3 centerVec(0, 0, 0);
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+ centerVec.Normalize();
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+
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+ // Fitting to 90 degrees for better image usage
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+ // otherwise the space used would fit the light's traits and potentially incude a lot of wasted black space
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+ const float angularFactor = 90.0f;
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+ const float fraction = angularFactor / ((float)width);
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+ ::memset(data, 0, width * height);
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+
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+ for (unsigned y = 0; y < height; ++y, dirY += stepY)
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+ {
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+ float dirX = -1.0f;
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+ for (unsigned x = 0; x < width; ++x, dirX += stepX)
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+ {
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+ Vector3 dirVec(dirX * width, dirY * height, 0);
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+ const float len = dirVec.Length();
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+ const float weight = height > 1 ? Abs(1.0f - Cos(dirVec.Length() * fraction)) : x * inverseWidth;
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+
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+ unsigned vert = GetSample(weight * angularFactor, horizontal);
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+ if (vert == -1)
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+ continue;
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+
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+ float value = 0.0f;
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+ if (weight > 0.0f)
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+ {
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+ if (vertical.Size() == 1) // easy case
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+ value = luminance[vert];
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+ else
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+ {
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+ if (height > 1)
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+ {
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+ Vector3 normalized = dirVec.Normalized();
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+ float angle = Atan2(normalized.x_, normalized.y_) - maxHoriz;
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+ while (angle < 0)
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+ angle += 360.0f;
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+ const float moddedAngle = fmodf(angle, maxVert);
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+ unsigned horiz = GetSample(moddedAngle, vertical);
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+ value = luminance[vert + horizontal.Size() * horiz];
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+ }
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+ else
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+ {
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+ // Accumulate for an average across the radial slices
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+ for (unsigned i = 0; i < vertical.Size(); ++i)
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+ value += luminance[vert + i * vertical.Size()];
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+ value /= vertical.Size();
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+ }
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+ }
|
|
|
+ }
|
|
|
+ *data = (unsigned char)(inverseLightValue * value * 255.0f);
|
|
|
+ ++data;
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+void Blur(unsigned char* data, unsigned width, unsigned height, const float* kernel, unsigned kernelWidth)
|
|
|
+{
|
|
|
+ const int kernelDim = (kernelWidth / 2);
|
|
|
+ for (int x = 0; x < width; ++x)
|
|
|
+ {
|
|
|
+ for (int y = 0; y < height; ++y)
|
|
|
+ {
|
|
|
+ float average = 0.0f;
|
|
|
+ for (int filterX = 0; filterX < kernelWidth; ++filterX)
|
|
|
+ {
|
|
|
+ for (int filterY = 0; filterY < kernelWidth; ++filterY)
|
|
|
+ {
|
|
|
+ const int xSample = (x - kernelWidth / 2 + filterX + width) % width;
|
|
|
+ const int ySample = (y - kernelWidth / 2 + filterY + height) % height;
|
|
|
+ const float value = data[ySample + xSample * height] / 255.0f;
|
|
|
+ average += value * kernel[filterY + filterX * kernelWidth];
|
|
|
+ }
|
|
|
+ }
|
|
|
+ data[y + x * height] = average * 255.0f;
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|