您最多选择25个主题
主题必须以中文或者字母或数字开头,可以包含连字符 (-),并且长度不得超过35个字符
90 行
2.9 KiB
90 行
2.9 KiB
#ifndef __CLUSTEREDUTILS_H__
|
|
#define __CLUSTEREDUTILS_H__
|
|
|
|
#ifndef FLT_EPSILON
|
|
#define FLT_EPSILON 1.192092896e-07f
|
|
#endif
|
|
|
|
float GetScaleFromBase(float base)
|
|
{
|
|
const float C = (float)(1 << g_iLog2NumClusters);
|
|
const float geomSeries = (1.0 - pow(base, C)) / (1 - base); // geometric series: sum_k=0^{C-1} base^k
|
|
return geomSeries / (g_fFarPlane - g_fNearPlane);
|
|
}
|
|
|
|
int SnapToClusterIdxFlex(float z_in, float suggestedBase, bool logBasePerTile)
|
|
{
|
|
#ifdef LEFT_HAND_COORDINATES
|
|
float z = z_in;
|
|
#else
|
|
float z = -z_in;
|
|
#endif
|
|
|
|
float userscale = g_fClustScale;
|
|
if (logBasePerTile)
|
|
userscale = GetScaleFromBase(suggestedBase);
|
|
|
|
// using the inverse of the geometric series
|
|
const float dist = max(0, z - g_fNearPlane);
|
|
return (int)clamp(log2(dist * userscale * (suggestedBase - 1.0f) + 1) / log2(suggestedBase), 0.0, (float)((1 << g_iLog2NumClusters) - 1));
|
|
}
|
|
|
|
int SnapToClusterIdx(float z_in, float suggestedBase)
|
|
{
|
|
#ifdef ENABLE_DEPTH_TEXTURE_BACKPLANE
|
|
bool logBasePerTile = true; // resolved compile time
|
|
#else
|
|
bool logBasePerTile = false;
|
|
#endif
|
|
|
|
return SnapToClusterIdxFlex(z_in, suggestedBase, logBasePerTile);
|
|
}
|
|
|
|
float ClusterIdxToZFlex(int k, float suggestedBase, bool logBasePerTile)
|
|
{
|
|
float res;
|
|
|
|
float userscale = g_fClustScale;
|
|
if (logBasePerTile)
|
|
userscale = GetScaleFromBase(suggestedBase);
|
|
|
|
float dist = (pow(suggestedBase, (float)k) - 1.0) / (userscale * (suggestedBase - 1.0f));
|
|
res = dist + g_fNearPlane;
|
|
|
|
#ifdef LEFT_HAND_COORDINATES
|
|
return res;
|
|
#else
|
|
return -res;
|
|
#endif
|
|
}
|
|
|
|
float ClusterIdxToZ(int k, float suggestedBase)
|
|
{
|
|
#ifdef ENABLE_DEPTH_TEXTURE_BACKPLANE
|
|
bool logBasePerTile = true; // resolved compile time
|
|
#else
|
|
bool logBasePerTile = false;
|
|
#endif
|
|
|
|
return ClusterIdxToZFlex(k, suggestedBase, logBasePerTile);
|
|
}
|
|
|
|
// generate a log-base value such that half of the clusters are consumed from near plane to max. opaque depth of tile.
|
|
float SuggestLogBase50(float tileFarPlane)
|
|
{
|
|
const float C = (float)(1 << g_iLog2NumClusters);
|
|
float normDist = clamp((tileFarPlane - g_fNearPlane) / (g_fFarPlane - g_fNearPlane), FLT_EPSILON, 1.0);
|
|
float suggested_base = pow((1.0 + sqrt(max(0.0, 1.0 - 4.0 * normDist * (1.0 - normDist)))) / (2.0 * normDist), 2.0 / C); //
|
|
return max(g_fClustBase, suggested_base);
|
|
}
|
|
|
|
// generate a log-base value such that (approximately) a quarter of the clusters are consumed from near plane to max. opaque depth of tile.
|
|
float SuggestLogBase25(float tileFarPlane)
|
|
{
|
|
const float C = (float)(1 << g_iLog2NumClusters);
|
|
float normDist = clamp((tileFarPlane - g_fNearPlane) / (g_fFarPlane - g_fNearPlane), FLT_EPSILON, 1.0);
|
|
float suggested_base = pow((1 / 2.3) * max(0.0, (0.8 / normDist) - 1), 4.0 / (C * 2)); // approximate inverse of d*x^4 + (-x) + (1-d) = 0 - d is normalized distance
|
|
return max(g_fClustBase, suggested_base);
|
|
}
|
|
|
|
#endif
|