[Add] Nebulae generation code. (Not using it at the minute).
This commit is contained in:
Allanis
parent
e4e7bf4b17
commit
1442259c0b
@ -105,7 +105,7 @@ void gl_exit(void);
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int gl_isTrans(const glTexture* t, const int x, const int y);
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void gl_getSpriteFromDir(int* x, int* y, const glTexture* t, const double dir);
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void gl_screenshot(const char* filename);
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int SDL_SavePNG(SDL_Surface* surface, const char* file);
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int SDL_savePNG(SDL_Surface* surface, const char* file);
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/*#if DEBUG == 1 */
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void gl_checkErr(void);
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/*#else */
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187
src/perlin.c
187
src/perlin.c
@ -2,18 +2,21 @@
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#include <stdlib.h>
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#include <string.h>
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#include "lephisto.h"
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#include "log.h"
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#include "rng.h"
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#include "lfile.h"
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#include "perlin.h"
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#define NEBULAE_Z 32
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#define NOISE_MAX_OCTAVES 128
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#define NOISE_MAX_DIMENSIONS 4
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#define NOISE_DEFAULT_HURST 0.5
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#define NOISE_DEFAULT_LACUNARITY 2.
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#define LERP(a, b, x) (a + x * (b - a))
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#define ABS(a) ((a)<0?-(a):(a))
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#define CLAMP(a, b, x) ((x) < (a) ? (a) : ((x) > (b) ? (b) : (x)))
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typedef void* noise_t;
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@ -27,9 +30,10 @@ typedef struct {
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float H;
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float lacunarity;
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float exponent[NOISE_MAX_OCTAVES];
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} perlin_data_t;
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} perling_data_t;
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static float* noise_genNebulae(const int w, const int h, const int n, float rug);
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static float* genNebulaeMap(const int w, const int h, const int n, float rug);
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SDL_Surface* surfaceFromNebulaeMap(float* map, const int w, const int h);
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static noise_t noise_new(int dimensions, float hurst, float lacunarity);
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/* Basic perlin noise. */
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static float noise_get(noise_t noise, float* f);
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@ -39,7 +43,7 @@ static float noise_get(noise_t noise, float* f);
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static float noise_turbulence(noise_t noise, float* f, float octaves);
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static void noise_delete(noise_t noise);
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static float lattice(perlin_data_t* data, int ix, float fx, int iy,
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static float lattice(perling_data_t* pdata, int ix, float fx, int iy,
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float fy, int iz, float fz, int iw, float fw) {
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int n[4] = { ix, iy, iz, iw };
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@ -48,10 +52,10 @@ static float lattice(perlin_data_t* data, int ix, float fx, int iy,
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int i;
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float value = 0;
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for(i = 0; i < data->ndim; i++)
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nindex = data->map[(nindex + n[i]) & 0xFF];
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for(i = 0; i < data->ndim; i++)
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value += data->buffer[nindex][i] * f[i];
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for(i = 0; i < pdata->ndim; i++)
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nindex = pdata->map[(nindex + n[i]) & 0xFF];
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for(i = 0; i < pdata->ndim; i++)
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value += pdata->buffer[nindex][i] * f[i];
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return value;
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}
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@ -63,120 +67,120 @@ static float lattice(perlin_data_t* data, int ix, float fx, int iy,
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#define FLOOR(a) ((int) a - (a < 0 && a != (int)a))
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#define CUBIC(a) (a * a * (3 - 2 * a))
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static void normalize(perlin_data_t* data, float* f) {
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static void normalize(perling_data_t* pdata, float* f) {
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float magnitude = 0;
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int i;
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for(i = 0; i < data->ndim; i++)
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for(i = 0; i < pdata->ndim; i++)
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magnitude += f[i] * f[i];
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magnitude = 1 / sqrtf(magnitude);
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for(i = 0; i < data->ndim; i++)
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for(i = 0; i < pdata->ndim; i++)
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f[i] *= magnitude;
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}
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static noise_t noise_new(int ndim, float hurst, float lacunarity) {
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perlin_data_t* data=(perlin_data_t*)calloc(sizeof(perlin_data_t), 1);
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perling_data_t* pdata=(perling_data_t*)calloc(sizeof(perling_data_t), 1);
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int i, j;
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unsigned char tmp;
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float f = 1;
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data->ndim = ndim;
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pdata->ndim = ndim;
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for(i = 0; i < 256; i++) {
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data->map[i] = (unsigned char) i;
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for(j = 0; j < data->ndim; j++)
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data->buffer[i][j] = RNGF()-0.5;
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normalize(data, data->buffer[i]);
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pdata->map[i] = (unsigned char) i;
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for(j = 0; j < pdata->ndim; j++)
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pdata->buffer[i][j] = RNGF()-0.5;
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normalize(pdata, pdata->buffer[i]);
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}
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while(--i) {
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j = RNG(0, 255);
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SWAP(data->map[i], data->map[j], tmp);
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SWAP(pdata->map[i], pdata->map[j], tmp);
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}
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data->H = hurst;
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data->lacunarity = lacunarity;
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pdata->H = hurst;
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pdata->lacunarity = lacunarity;
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for(i = 0; i < NOISE_MAX_OCTAVES; i++) {
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/*exponent[i] = powf(f, -H); */
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data->exponent[i] = 1.0f / f;
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pdata->exponent[i] = 1.0f / f;
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f *= lacunarity;
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}
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return (noise_t)data;
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return (noise_t)pdata;
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}
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static float noise_get(noise_t noise, float *f )
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{
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perlin_data_t* data = (perlin_data_t*) noise;
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perling_data_t* pdata = (perling_data_t*) noise;
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int n[NOISE_MAX_DIMENSIONS]; /* Indexes to pass to lattice function */
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int i;
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float r[NOISE_MAX_DIMENSIONS]; /* Remainders to pass to lattice function */
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float w[NOISE_MAX_DIMENSIONS]; /* Cubic values to pass to interpolation function */
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float value;
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for(i=0; i<data->ndim; i++) {
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for(i=0; i<pdata->ndim; i++) {
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n[i] = FLOOR(f[i]);
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r[i] = f[i] - n[i];
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w[i] = CUBIC(r[i]);
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}
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switch(data->ndim) {
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switch(pdata->ndim) {
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case 1:
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value = LERP(lattice(data,n[0], r[0],0,0,0,0,0,0),
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lattice(data,n[0]+1, r[0]-1,0,0,0,0,0,0),
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value = LERP(lattice(pdata,n[0], r[0],0,0,0,0,0,0),
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lattice(pdata,n[0]+1, r[0]-1,0,0,0,0,0,0),
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w[0]);
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break;
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case 2:
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value = LERP(LERP(lattice(data,n[0], r[0], n[1], r[1],0,0,0,0),
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lattice(data,n[0]+1, r[0]-1, n[1], r[1],0,0,0,0),
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value = LERP(LERP(lattice(pdata,n[0], r[0], n[1], r[1],0,0,0,0),
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lattice(pdata,n[0]+1, r[0]-1, n[1], r[1],0,0,0,0),
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w[0]),
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LERP(lattice(data,n[0], r[0], n[1]+1, r[1]-1,0,0,0,0),
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lattice(data,n[0]+1, r[0]-1, n[1]+1, r[1]-1,0,0,0,0),
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LERP(lattice(pdata,n[0], r[0], n[1]+1, r[1]-1,0,0,0,0),
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lattice(pdata,n[0]+1, r[0]-1, n[1]+1, r[1]-1,0,0,0,0),
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w[0]),
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w[1]);
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break;
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case 3:
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value = LERP(LERP(LERP(lattice(data,n[0], r[0], n[1], r[1], n[2], r[2],0,0),
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lattice(data,n[0]+1, r[0]-1, n[1], r[1], n[2], r[2],0,0),
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value = LERP(LERP(LERP(lattice(pdata,n[0], r[0], n[1], r[1], n[2], r[2],0,0),
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lattice(pdata,n[0]+1, r[0]-1, n[1], r[1], n[2], r[2],0,0),
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w[0]),
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LERP(lattice(data,n[0], r[0], n[1]+1, r[1]-1, n[2], r[2],0,0),
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lattice(data,n[0]+1, r[0]-1, n[1]+1, r[1]-1, n[2], r[2],0,0),
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LERP(lattice(pdata,n[0], r[0], n[1]+1, r[1]-1, n[2], r[2],0,0),
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lattice(pdata,n[0]+1, r[0]-1, n[1]+1, r[1]-1, n[2], r[2],0,0),
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w[0]),
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w[1]),
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LERP(LERP(lattice(data,n[0], r[0], n[1], r[1], n[2]+1, r[2]-1,0,0),
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lattice(data,n[0]+1, r[0]-1, n[1], r[1], n[2]+1, r[2]-1,0,0),
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LERP(LERP(lattice(pdata,n[0], r[0], n[1], r[1], n[2]+1, r[2]-1,0,0),
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lattice(pdata,n[0]+1, r[0]-1, n[1], r[1], n[2]+1, r[2]-1,0,0),
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w[0]),
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LERP(lattice(data,n[0], r[0], n[1]+1, r[1]-1, n[2]+1, r[2]-1,0,0),
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lattice(data,n[0]+1, r[0]-1, n[1]+1, r[1]-1, n[2]+1, r[2]-1,0,0),
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LERP(lattice(pdata,n[0], r[0], n[1]+1, r[1]-1, n[2]+1, r[2]-1,0,0),
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lattice(pdata,n[0]+1, r[0]-1, n[1]+1, r[1]-1, n[2]+1, r[2]-1,0,0),
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w[0]),
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w[1]),
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w[2]);
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break;
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case 4:
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default:
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value = LERP(LERP(LERP(LERP(lattice(data,n[0], r[0], n[1], r[1], n[2], r[2], n[3], r[3]),
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lattice(data,n[0]+1, r[0]-1, n[1], r[1], n[2], r[2], n[3], r[3]),
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value = LERP(LERP(LERP(LERP(lattice(pdata,n[0], r[0], n[1], r[1], n[2], r[2], n[3], r[3]),
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lattice(pdata,n[0]+1, r[0]-1, n[1], r[1], n[2], r[2], n[3], r[3]),
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w[0]),
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LERP(lattice(data,n[0], r[0], n[1]+1, r[1]-1, n[2], r[2], n[3], r[3]),
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lattice(data,n[0]+1, r[0]-1, n[1]+1, r[1]-1, n[2], r[2], n[3], r[3]),
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LERP(lattice(pdata,n[0], r[0], n[1]+1, r[1]-1, n[2], r[2], n[3], r[3]),
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lattice(pdata,n[0]+1, r[0]-1, n[1]+1, r[1]-1, n[2], r[2], n[3], r[3]),
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w[0]),
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w[1]),
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LERP(LERP(lattice(data,n[0], r[0], n[1], r[1], n[2]+1, r[2]-1, n[3], r[3]),
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lattice(data,n[0]+1, r[0]-1, n[1], r[1], n[2]+1, r[2]-1, n[3], r[3]),
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LERP(LERP(lattice(pdata,n[0], r[0], n[1], r[1], n[2]+1, r[2]-1, n[3], r[3]),
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lattice(pdata,n[0]+1, r[0]-1, n[1], r[1], n[2]+1, r[2]-1, n[3], r[3]),
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w[0]),
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LERP(lattice(data,n[0], r[0], n[1]+1, r[1]-1, n[2]+1, r[2]-1,0,0),
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lattice(data,n[0]+1, r[0]-1, n[1]+1, r[1]-1, n[2]+1, r[2]-1, n[3], r[3]),
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LERP(lattice(pdata,n[0], r[0], n[1]+1, r[1]-1, n[2]+1, r[2]-1,0,0),
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lattice(pdata,n[0]+1, r[0]-1, n[1]+1, r[1]-1, n[2]+1, r[2]-1, n[3], r[3]),
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w[0]),
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w[1]),
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w[2]),
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LERP(LERP(LERP(lattice(data,n[0], r[0], n[1], r[1], n[2], r[2], n[3]+1, r[3]-1),
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lattice(data,n[0]+1, r[0]-1, n[1], r[1], n[2], r[2], n[3]+1, r[3]-1),
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LERP(LERP(LERP(lattice(pdata,n[0], r[0], n[1], r[1], n[2], r[2], n[3]+1, r[3]-1),
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lattice(pdata,n[0]+1, r[0]-1, n[1], r[1], n[2], r[2], n[3]+1, r[3]-1),
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w[0]),
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LERP(lattice(data,n[0], r[0], n[1]+1, r[1]-1, n[2], r[2], n[3]+1, r[3]-1),
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lattice(data,n[0]+1, r[0]-1, n[1]+1, r[1]-1, n[2], r[2], n[3]+1, r[3]-1),
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LERP(lattice(pdata,n[0], r[0], n[1]+1, r[1]-1, n[2], r[2], n[3]+1, r[3]-1),
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lattice(pdata,n[0]+1, r[0]-1, n[1]+1, r[1]-1, n[2], r[2], n[3]+1, r[3]-1),
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w[0]),
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w[1]),
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LERP(LERP(lattice(data,n[0], r[0], n[1], r[1], n[2]+1, r[2]-1, n[3]+1, r[3]-1),
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lattice(data,n[0]+1, r[0]-1, n[1], r[1], n[2]+1, r[2]-1, n[3]+1, r[3]-1),
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LERP(LERP(lattice(pdata,n[0], r[0], n[1], r[1], n[2]+1, r[2]-1, n[3]+1, r[3]-1),
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lattice(pdata,n[0]+1, r[0]-1, n[1], r[1], n[2]+1, r[2]-1, n[3]+1, r[3]-1),
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w[0]),
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LERP(lattice(data,n[0], r[0], n[1]+1, r[1]-1, n[2]+1, r[2]-1,0,0),
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lattice(data,n[0]+1, r[0]-1, n[1]+1, r[1]-1, n[2]+1, r[2]-1, n[3]+1, r[3]-1),
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LERP(lattice(pdata,n[0], r[0], n[1]+1, r[1]-1, n[2]+1, r[2]-1,0,0),
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lattice(pdata,n[0]+1, r[0]-1, n[1]+1, r[1]-1, n[2]+1, r[2]-1, n[3]+1, r[3]-1),
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w[0]),
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w[1]),
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w[2]),
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@ -189,52 +193,53 @@ static float noise_get(noise_t noise, float *f )
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#if 0
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float noise_fbm(noise_t noise, float* f, float octaves) {
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float tf[NOISE_MAX_DIMENSIONS];
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perlin_data_t* data = (perlin_data_t*) noise;
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perling_data_t* pdata = (perling_data_t*) noise;
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/* Init locals. */
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float value = 0;
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int i, j;
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memcpy(tf, f, sizeof(float) * data->ndim);
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memcpy(tf, f, sizeof(float) * pdata->ndim);
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/* Inner loop for spectral construction, where the fractal is build. */
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for(i = 0; i < (int)octaves; i++) {
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value += noise_get(noise, tf) * data->exponent[i];
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for(j = 0; j < data->ndim; j++) tf[j] *= data->lacunarity;
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value += noise_get(noise, tf) * pdata->exponent[i];
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for(j = 0; j < pdata->ndim; j++) tf[j] *= pdata->lacunarity;
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}
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/* Take care of remainder in octaves. */
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octaves -= (int)octaves;
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if(octaves > DELTA)
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value += octaves * noise_get(noise, tf) * data->exponent[i];
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value += octaves * noise_get(noise, tf) * pdata->exponent[i];
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return CLAMP(-0.99999f, 0.99999f, value);
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}
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#endif
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static float noise_turbulence(noise_t noise, float* f, float octaves) {
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float tf[NOISE_MAX_DIMENSIONS];
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perlin_data_t* data = (perlin_data_t*) noise;
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perling_data_t* pdata = (perling_data_t*) noise;
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/* Init locals. */
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float value = 0;
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int i, j;
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memcpy(tf, f, sizeof(float) * data->ndim);
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memcpy(tf, f, sizeof(float) * pdata->ndim);
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/* Inner loop of spectral construction, where the fractal is built. */
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for(i = 0; i < (int)octaves; i++) {
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value += ABS(noise_get(noise, tf)) * data->exponent[i];
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for(j = 0; j < data->ndim; j++) tf[j] *= data->lacunarity;
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value += ABS(noise_get(noise, tf)) * pdata->exponent[i];
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for(j = 0; j < pdata->ndim; j++) tf[j] *= pdata->lacunarity;
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}
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/* Take care of remainders in octaves. */
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octaves -= (int)octaves;
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if(octaves > DELTA)
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value += octaves * ABS(noise_get(noise, tf)) * data->exponent[i];
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value += octaves * ABS(noise_get(noise, tf)) * pdata->exponent[i];
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return CLAMP(-0.99999f, 0.99999f, value);
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}
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void noise_delete(noise_t noise) {
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free((perlin_data_t*)noise);
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free((perling_data_t*)noise);
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}
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static float* noise_genNebulae(const int w, const int h, const int n, float rug) {
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/* Generate a 3d nebulae map of dimensions w,h,n with ruggedness rig. */
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static float* genNebulaeMap(const int w, const int h, const int n, float rug) {
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int x, y, z;
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float f[3];
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float octaves;
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@ -256,13 +261,15 @@ static float* noise_genNebulae(const int w, const int h, const int n, float rug)
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return NULL;
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}
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f[2] = 0.;
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for(z = 0; z < n; z++) {
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for(y = 0; y < h; y++) {
|
||||
|
||||
f[1] = rug * (float)y / (float)h;
|
||||
|
||||
for(x = 0; x < w; x++) {
|
||||
|
||||
f[0] = rug * (float)x / (float)w;
|
||||
f[1] = rug * (float)y / (float)h;
|
||||
f[2] = rug * (float)z / (float)n;
|
||||
|
||||
value = noise_turbulence(noise, f, octaves);
|
||||
|
||||
@ -270,6 +277,7 @@ static float* noise_genNebulae(const int w, const int h, const int n, float rug)
|
||||
nebulae[z*w*h + y*w+x] = (value < 1.) ? value : 1.;
|
||||
}
|
||||
}
|
||||
f[2] += 0.01;
|
||||
}
|
||||
|
||||
noise_delete(noise);
|
||||
@ -277,16 +285,13 @@ static float* noise_genNebulae(const int w, const int h, const int n, float rug)
|
||||
return nebulae;
|
||||
}
|
||||
|
||||
glTexture* noise_genCloud(const int w, const int h, double rug) {
|
||||
/* Generate an SDL_Surface from a 2d nebulae map. */
|
||||
SDL_Surface* surfaceFromNebulaeMap(float* map, const int w, const int h) {
|
||||
int i;
|
||||
float* map;
|
||||
SDL_Surface* sur;
|
||||
uint32_t* pix;
|
||||
glTexture* tex;
|
||||
double c;
|
||||
|
||||
map = noise_genNebulae(w, h, 1, rug);
|
||||
|
||||
sur = SDL_CreateRGBSurface(SDL_SWSURFACE, w, h, 32, RGBAMASK);
|
||||
pix = sur->pixels;
|
||||
|
||||
@ -298,6 +303,40 @@ glTexture* noise_genCloud(const int w, const int h, double rug) {
|
||||
}
|
||||
SDL_UnlockSurface(sur);
|
||||
|
||||
return sur;
|
||||
}
|
||||
|
||||
/* Generate nebulae and save them for late use. */
|
||||
void noise_generateNebulae(const int w, const int h) {
|
||||
int i;
|
||||
float* nebu;
|
||||
SDL_Surface* sur;
|
||||
char nebu_file[PATH_MAX];
|
||||
|
||||
/* Generate all the nebulae. */
|
||||
nebu = genNebulaeMap(w, h, NEBULAE_Z, 15.);
|
||||
|
||||
/* Save each nebulae as an image. */
|
||||
for(i = 0; i < NEBULAE_Z; i++) {
|
||||
sur = surfaceFromNebulaeMap(&nebu[i*w*h], w, h);
|
||||
snprintf(nebu_file, PATH_MAX, "%s/nebu_%02d.png", lfile_basePath(), i);
|
||||
SDL_savePNG(sur, nebu_file);
|
||||
SDL_FreeSurface(sur);
|
||||
}
|
||||
|
||||
/* Cleanup. */
|
||||
free(nebu);
|
||||
}
|
||||
|
||||
glTexture* noise_genCloud(const int w, const int h, double rug) {
|
||||
float* map;
|
||||
SDL_Surface* sur;
|
||||
glTexture* tex;
|
||||
|
||||
/*noise_generateNebulae(w, h);*/
|
||||
|
||||
map = genNebulaeMap(w, h, 1, rug);
|
||||
sur = surfaceFromNebulaeMap(map, w, h);
|
||||
free(map);
|
||||
|
||||
tex = gl_loadImage(sur);
|
||||
|
||||
Loading…
Reference in New Issue
Block a user