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@@ -0,0 +1,1468 @@
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+#include "image.h"
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+#include "utils.h"
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+#include "blas.h"
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+#include "cuda.h"
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+#include <stdio.h>
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+#include <math.h>
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+
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+#define STB_IMAGE_IMPLEMENTATION
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+#include "stb_image.h"
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+#define STB_IMAGE_WRITE_IMPLEMENTATION
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+#include "stb_image_write.h"
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+
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+int windows = 0;
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+
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+float colors[6][3] = { {1,0,1}, {0,0,1},{0,1,1},{0,1,0},{1,1,0},{1,0,0} };
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+
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+float get_color(int c, int x, int max)
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+{
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+ float ratio = ((float)x/max)*5;
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+ int i = floor(ratio);
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+ int j = ceil(ratio);
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+ ratio -= i;
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+ float r = (1-ratio) * colors[i][c] + ratio*colors[j][c];
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+ //printf("%f\n", r);
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+ return r;
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+}
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+
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+image mask_to_rgb(image mask)
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+{
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+ int n = mask.c;
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+ image im = make_image(mask.w, mask.h, 3);
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+ int i, j;
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+ for(j = 0; j < n; ++j){
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+ int offset = j*123457 % n;
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+ float red = get_color(2,offset,n);
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+ float green = get_color(1,offset,n);
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+ float blue = get_color(0,offset,n);
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+ for(i = 0; i < im.w*im.h; ++i){
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+ im.data[i + 0*im.w*im.h] += mask.data[j*im.h*im.w + i]*red;
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+ im.data[i + 1*im.w*im.h] += mask.data[j*im.h*im.w + i]*green;
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+ im.data[i + 2*im.w*im.h] += mask.data[j*im.h*im.w + i]*blue;
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+ }
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+ }
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+ return im;
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+}
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+
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+static float get_pixel(image m, int x, int y, int c)
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+{
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+ assert(x < m.w && y < m.h && c < m.c);
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+ return m.data[c*m.h*m.w + y*m.w + x];
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+}
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+static float get_pixel_extend(image m, int x, int y, int c)
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+{
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+ if(x < 0 || x >= m.w || y < 0 || y >= m.h) return 0;
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+ /*
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+ if(x < 0) x = 0;
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+ if(x >= m.w) x = m.w-1;
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+ if(y < 0) y = 0;
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+ if(y >= m.h) y = m.h-1;
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+ */
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+ if(c < 0 || c >= m.c) return 0;
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+ return get_pixel(m, x, y, c);
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+}
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+static void set_pixel(image m, int x, int y, int c, float val)
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+{
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+ if (x < 0 || y < 0 || c < 0 || x >= m.w || y >= m.h || c >= m.c) return;
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+ assert(x < m.w && y < m.h && c < m.c);
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+ m.data[c*m.h*m.w + y*m.w + x] = val;
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+}
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+static void add_pixel(image m, int x, int y, int c, float val)
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+{
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+ assert(x < m.w && y < m.h && c < m.c);
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+ m.data[c*m.h*m.w + y*m.w + x] += val;
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+}
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+
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+static float bilinear_interpolate(image im, float x, float y, int c)
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+{
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+ int ix = (int) floorf(x);
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+ int iy = (int) floorf(y);
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+
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+ float dx = x - ix;
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+ float dy = y - iy;
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+
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+ float val = (1-dy) * (1-dx) * get_pixel_extend(im, ix, iy, c) +
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+ dy * (1-dx) * get_pixel_extend(im, ix, iy+1, c) +
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+ (1-dy) * dx * get_pixel_extend(im, ix+1, iy, c) +
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+ dy * dx * get_pixel_extend(im, ix+1, iy+1, c);
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+ return val;
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+}
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+
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+
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+void composite_image(image source, image dest, int dx, int dy)
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+{
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+ int x,y,k;
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+ for(k = 0; k < source.c; ++k){
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+ for(y = 0; y < source.h; ++y){
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+ for(x = 0; x < source.w; ++x){
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+ float val = get_pixel(source, x, y, k);
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+ float val2 = get_pixel_extend(dest, dx+x, dy+y, k);
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+ set_pixel(dest, dx+x, dy+y, k, val * val2);
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+ }
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+ }
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+ }
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+}
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+
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+image border_image(image a, int border)
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+{
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+ image b = make_image(a.w + 2*border, a.h + 2*border, a.c);
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+ int x,y,k;
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+ for(k = 0; k < b.c; ++k){
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+ for(y = 0; y < b.h; ++y){
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+ for(x = 0; x < b.w; ++x){
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+ float val = get_pixel_extend(a, x - border, y - border, k);
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+ if(x - border < 0 || x - border >= a.w || y - border < 0 || y - border >= a.h) val = 1;
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+ set_pixel(b, x, y, k, val);
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+ }
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+ }
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+ }
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+ return b;
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+}
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+
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+image tile_images(image a, image b, int dx)
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+{
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+ if(a.w == 0) return copy_image(b);
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+ image c = make_image(a.w + b.w + dx, (a.h > b.h) ? a.h : b.h, (a.c > b.c) ? a.c : b.c);
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+ fill_cpu(c.w*c.h*c.c, 1, c.data, 1);
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+ embed_image(a, c, 0, 0);
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+ composite_image(b, c, a.w + dx, 0);
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+ return c;
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+}
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+
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+image get_label(image **characters, char *string, int size)
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+{
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+ size = size/10;
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+ if(size > 7) size = 7;
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+ image label = make_empty_image(0,0,0);
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+ while(*string){
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+ image l = characters[size][(int)*string];
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+ image n = tile_images(label, l, -size - 1 + (size+1)/2);
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+ free_image(label);
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+ label = n;
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+ ++string;
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+ }
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+ image b = border_image(label, label.h*.25);
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+ free_image(label);
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+ return b;
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+}
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+
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+void draw_label(image a, int r, int c, image label, const float *rgb)
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+{
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+ int w = label.w;
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+ int h = label.h;
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+ if (r - h >= 0) r = r - h;
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+
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+ int i, j, k;
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+ for(j = 0; j < h && j + r < a.h; ++j){
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+ for(i = 0; i < w && i + c < a.w; ++i){
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+ for(k = 0; k < label.c; ++k){
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+ float val = get_pixel(label, i, j, k);
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+ set_pixel(a, i+c, j+r, k, rgb[k] * val);
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+ }
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+ }
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+ }
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+}
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+
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+void draw_box(image a, int x1, int y1, int x2, int y2, float r, float g, float b)
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+{
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+ //normalize_image(a);
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+ int i;
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+ if(x1 < 0) x1 = 0;
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+ if(x1 >= a.w) x1 = a.w-1;
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+ if(x2 < 0) x2 = 0;
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+ if(x2 >= a.w) x2 = a.w-1;
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+
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+ if(y1 < 0) y1 = 0;
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+ if(y1 >= a.h) y1 = a.h-1;
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+ if(y2 < 0) y2 = 0;
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+ if(y2 >= a.h) y2 = a.h-1;
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+
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+ for(i = x1; i <= x2; ++i){
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+ a.data[i + y1*a.w + 0*a.w*a.h] = r;
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+ a.data[i + y2*a.w + 0*a.w*a.h] = r;
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+
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+ a.data[i + y1*a.w + 1*a.w*a.h] = g;
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+ a.data[i + y2*a.w + 1*a.w*a.h] = g;
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+
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+ a.data[i + y1*a.w + 2*a.w*a.h] = b;
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+ a.data[i + y2*a.w + 2*a.w*a.h] = b;
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+ }
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+ for(i = y1; i <= y2; ++i){
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+ a.data[x1 + i*a.w + 0*a.w*a.h] = r;
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+ a.data[x2 + i*a.w + 0*a.w*a.h] = r;
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+
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+ a.data[x1 + i*a.w + 1*a.w*a.h] = g;
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+ a.data[x2 + i*a.w + 1*a.w*a.h] = g;
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+
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+ a.data[x1 + i*a.w + 2*a.w*a.h] = b;
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+ a.data[x2 + i*a.w + 2*a.w*a.h] = b;
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+ }
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+}
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+
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+void draw_box_width(image a, int x1, int y1, int x2, int y2, int w, float r, float g, float b)
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+{
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+ int i;
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+ for(i = 0; i < w; ++i){
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+ draw_box(a, x1+i, y1+i, x2-i, y2-i, r, g, b);
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+ }
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+}
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+
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+void draw_bbox(image a, box bbox, int w, float r, float g, float b)
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+{
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+ int left = (bbox.x-bbox.w/2)*a.w;
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+ int right = (bbox.x+bbox.w/2)*a.w;
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+ int top = (bbox.y-bbox.h/2)*a.h;
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+ int bot = (bbox.y+bbox.h/2)*a.h;
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+
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+ int i;
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+ for(i = 0; i < w; ++i){
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+ draw_box(a, left+i, top+i, right-i, bot-i, r, g, b);
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+ }
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+}
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+
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+image **load_alphabet()
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+{
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+ int i, j;
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+ const int nsize = 8;
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+ image **alphabets = calloc(nsize, sizeof(image));
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+ for(j = 0; j < nsize; ++j){
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+ alphabets[j] = calloc(128, sizeof(image));
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+ for(i = 32; i < 127; ++i){
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+ char buff[256];
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+ sprintf(buff, "data/labels/%d_%d.png", i, j);
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+ alphabets[j][i] = load_image_color(buff, 0, 0);
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+ }
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+ }
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+ return alphabets;
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+}
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+
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+void draw_detections(image im, detection *dets, int num, float thresh, char **names, image **alphabet, int classes)
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+{
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+ int i,j;
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+
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+ for(i = 0; i < num; ++i){
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+ char labelstr[4096] = {0};
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+ int class = -1;
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+ for(j = 0; j < classes; ++j){
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+ if (dets[i].prob[j] > thresh){
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+ if (class < 0) {
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+ strcat(labelstr, names[j]);
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+ class = j;
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+ } else {
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+ strcat(labelstr, ", ");
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+ strcat(labelstr, names[j]);
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+ }
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+
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+ printf("%s: %.2f%%\n", names[j], dets[i].prob[j]*100);
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+ }
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+ }
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+ if(class >= 0){
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+ int width = im.h * .006;
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+
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+ /*
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+ if(0){
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+ width = pow(prob, 1./2.)*10+1;
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+ alphabet = 0;
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+ }
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+ */
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+
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+ //printf("%d %s: %.0f%%\n", i, names[class], prob*100);
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+ int offset = class*123457 % classes;
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+ float red = get_color(2,offset,classes);
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+ float green = get_color(1,offset,classes);
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+ float blue = get_color(0,offset,classes);
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+ float rgb[3];
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+
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+ //width = prob*20+2;
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+
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+ rgb[0] = red;
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+ rgb[1] = green;
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+ rgb[2] = blue;
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+ box b = dets[i].bbox;
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+ //printf("%f %f %f %f\n", b.x, b.y, b.w, b.h);
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+
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+ int left = (b.x-b.w/2.)*im.w;
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+ int right = (b.x+b.w/2.)*im.w;
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+ int top = (b.y-b.h/2.)*im.h;
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+ int bot = (b.y+b.h/2.)*im.h;
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+
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+ if(left < 0) left = 0;
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+ if(right > im.w-1) right = im.w-1;
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+ if(top < 0) top = 0;
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+ if(bot > im.h-1) bot = im.h-1;
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+
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+ draw_box_width(im, left, top, right, bot, width, red, green, blue);
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+ if (alphabet) {
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+ image label = get_label(alphabet, labelstr, (im.h*.03));
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+ draw_label(im, top + width, left, label, rgb);
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+ printf("pos=%d,%d,%d,%d\n", left, top, right-left, bot-top);
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+ free_image(label);
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+ }
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+ if (dets[i].mask){
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+ image mask = float_to_image(14, 14, 1, dets[i].mask);
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+ image resized_mask = resize_image(mask, b.w*im.w, b.h*im.h);
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+ image tmask = threshold_image(resized_mask, .5);
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+ embed_image(tmask, im, left, top);
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+ free_image(mask);
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+ free_image(resized_mask);
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+ free_image(tmask);
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+ }
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+ }
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+ }
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+}
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+
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+void transpose_image(image im)
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+{
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+ assert(im.w == im.h);
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+ int n, m;
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+ int c;
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+ for(c = 0; c < im.c; ++c){
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+ for(n = 0; n < im.w-1; ++n){
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+ for(m = n + 1; m < im.w; ++m){
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+ float swap = im.data[m + im.w*(n + im.h*c)];
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+ im.data[m + im.w*(n + im.h*c)] = im.data[n + im.w*(m + im.h*c)];
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+ im.data[n + im.w*(m + im.h*c)] = swap;
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+ }
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+ }
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+ }
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+}
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+
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+void rotate_image_cw(image im, int times)
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+{
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+ assert(im.w == im.h);
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+ times = (times + 400) % 4;
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+ int i, x, y, c;
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+ int n = im.w;
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+ for(i = 0; i < times; ++i){
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+ for(c = 0; c < im.c; ++c){
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+ for(x = 0; x < n/2; ++x){
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+ for(y = 0; y < (n-1)/2 + 1; ++y){
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+ float temp = im.data[y + im.w*(x + im.h*c)];
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+ im.data[y + im.w*(x + im.h*c)] = im.data[n-1-x + im.w*(y + im.h*c)];
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+ im.data[n-1-x + im.w*(y + im.h*c)] = im.data[n-1-y + im.w*(n-1-x + im.h*c)];
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+ im.data[n-1-y + im.w*(n-1-x + im.h*c)] = im.data[x + im.w*(n-1-y + im.h*c)];
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+ im.data[x + im.w*(n-1-y + im.h*c)] = temp;
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+ }
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+ }
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+ }
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+ }
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+}
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+
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+void flip_image(image a)
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+{
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+ int i,j,k;
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+ for(k = 0; k < a.c; ++k){
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+ for(i = 0; i < a.h; ++i){
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+ for(j = 0; j < a.w/2; ++j){
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+ int index = j + a.w*(i + a.h*(k));
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+ int flip = (a.w - j - 1) + a.w*(i + a.h*(k));
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+ float swap = a.data[flip];
|
|
|
+ a.data[flip] = a.data[index];
|
|
|
+ a.data[index] = swap;
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+image image_distance(image a, image b)
|
|
|
+{
|
|
|
+ int i,j;
|
|
|
+ image dist = make_image(a.w, a.h, 1);
|
|
|
+ for(i = 0; i < a.c; ++i){
|
|
|
+ for(j = 0; j < a.h*a.w; ++j){
|
|
|
+ dist.data[j] += pow(a.data[i*a.h*a.w+j]-b.data[i*a.h*a.w+j],2);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ for(j = 0; j < a.h*a.w; ++j){
|
|
|
+ dist.data[j] = sqrt(dist.data[j]);
|
|
|
+ }
|
|
|
+ return dist;
|
|
|
+}
|
|
|
+
|
|
|
+void ghost_image(image source, image dest, int dx, int dy)
|
|
|
+{
|
|
|
+ int x,y,k;
|
|
|
+ float max_dist = sqrt((-source.w/2. + .5)*(-source.w/2. + .5));
|
|
|
+ for(k = 0; k < source.c; ++k){
|
|
|
+ for(y = 0; y < source.h; ++y){
|
|
|
+ for(x = 0; x < source.w; ++x){
|
|
|
+ float dist = sqrt((x - source.w/2. + .5)*(x - source.w/2. + .5) + (y - source.h/2. + .5)*(y - source.h/2. + .5));
|
|
|
+ float alpha = (1 - dist/max_dist);
|
|
|
+ if(alpha < 0) alpha = 0;
|
|
|
+ float v1 = get_pixel(source, x,y,k);
|
|
|
+ float v2 = get_pixel(dest, dx+x,dy+y,k);
|
|
|
+ float val = alpha*v1 + (1-alpha)*v2;
|
|
|
+ set_pixel(dest, dx+x, dy+y, k, val);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+void blocky_image(image im, int s)
|
|
|
+{
|
|
|
+ int i,j,k;
|
|
|
+ for(k = 0; k < im.c; ++k){
|
|
|
+ for(j = 0; j < im.h; ++j){
|
|
|
+ for(i = 0; i < im.w; ++i){
|
|
|
+ im.data[i + im.w*(j + im.h*k)] = im.data[i/s*s + im.w*(j/s*s + im.h*k)];
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+void censor_image(image im, int dx, int dy, int w, int h)
|
|
|
+{
|
|
|
+ int i,j,k;
|
|
|
+ int s = 32;
|
|
|
+ if(dx < 0) dx = 0;
|
|
|
+ if(dy < 0) dy = 0;
|
|
|
+
|
|
|
+ for(k = 0; k < im.c; ++k){
|
|
|
+ for(j = dy; j < dy + h && j < im.h; ++j){
|
|
|
+ for(i = dx; i < dx + w && i < im.w; ++i){
|
|
|
+ im.data[i + im.w*(j + im.h*k)] = im.data[i/s*s + im.w*(j/s*s + im.h*k)];
|
|
|
+ //im.data[i + j*im.w + k*im.w*im.h] = 0;
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+void embed_image(image source, image dest, int dx, int dy)
|
|
|
+{
|
|
|
+ int x,y,k;
|
|
|
+ for(k = 0; k < source.c; ++k){
|
|
|
+ for(y = 0; y < source.h; ++y){
|
|
|
+ for(x = 0; x < source.w; ++x){
|
|
|
+ float val = get_pixel(source, x,y,k);
|
|
|
+ set_pixel(dest, dx+x, dy+y, k, val);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+image collapse_image_layers(image source, int border)
|
|
|
+{
|
|
|
+ int h = source.h;
|
|
|
+ h = (h+border)*source.c - border;
|
|
|
+ image dest = make_image(source.w, h, 1);
|
|
|
+ int i;
|
|
|
+ for(i = 0; i < source.c; ++i){
|
|
|
+ image layer = get_image_layer(source, i);
|
|
|
+ int h_offset = i*(source.h+border);
|
|
|
+ embed_image(layer, dest, 0, h_offset);
|
|
|
+ free_image(layer);
|
|
|
+ }
|
|
|
+ return dest;
|
|
|
+}
|
|
|
+
|
|
|
+void constrain_image(image im)
|
|
|
+{
|
|
|
+ int i;
|
|
|
+ for(i = 0; i < im.w*im.h*im.c; ++i){
|
|
|
+ if(im.data[i] < 0) im.data[i] = 0;
|
|
|
+ if(im.data[i] > 1) im.data[i] = 1;
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+void normalize_image(image p)
|
|
|
+{
|
|
|
+ int i;
|
|
|
+ float min = 9999999;
|
|
|
+ float max = -999999;
|
|
|
+
|
|
|
+ for(i = 0; i < p.h*p.w*p.c; ++i){
|
|
|
+ float v = p.data[i];
|
|
|
+ if(v < min) min = v;
|
|
|
+ if(v > max) max = v;
|
|
|
+ }
|
|
|
+ if(max - min < .000000001){
|
|
|
+ min = 0;
|
|
|
+ max = 1;
|
|
|
+ }
|
|
|
+ for(i = 0; i < p.c*p.w*p.h; ++i){
|
|
|
+ p.data[i] = (p.data[i] - min)/(max-min);
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+void normalize_image2(image p)
|
|
|
+{
|
|
|
+ float *min = calloc(p.c, sizeof(float));
|
|
|
+ float *max = calloc(p.c, sizeof(float));
|
|
|
+ int i,j;
|
|
|
+ for(i = 0; i < p.c; ++i) min[i] = max[i] = p.data[i*p.h*p.w];
|
|
|
+
|
|
|
+ for(j = 0; j < p.c; ++j){
|
|
|
+ for(i = 0; i < p.h*p.w; ++i){
|
|
|
+ float v = p.data[i+j*p.h*p.w];
|
|
|
+ if(v < min[j]) min[j] = v;
|
|
|
+ if(v > max[j]) max[j] = v;
|
|
|
+ }
|
|
|
+ }
|
|
|
+ for(i = 0; i < p.c; ++i){
|
|
|
+ if(max[i] - min[i] < .000000001){
|
|
|
+ min[i] = 0;
|
|
|
+ max[i] = 1;
|
|
|
+ }
|
|
|
+ }
|
|
|
+ for(j = 0; j < p.c; ++j){
|
|
|
+ for(i = 0; i < p.w*p.h; ++i){
|
|
|
+ p.data[i+j*p.h*p.w] = (p.data[i+j*p.h*p.w] - min[j])/(max[j]-min[j]);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ free(min);
|
|
|
+ free(max);
|
|
|
+}
|
|
|
+
|
|
|
+void copy_image_into(image src, image dest)
|
|
|
+{
|
|
|
+ memcpy(dest.data, src.data, src.h*src.w*src.c*sizeof(float));
|
|
|
+}
|
|
|
+
|
|
|
+image copy_image(image p)
|
|
|
+{
|
|
|
+ image copy = p;
|
|
|
+ copy.data = calloc(p.h*p.w*p.c, sizeof(float));
|
|
|
+ memcpy(copy.data, p.data, p.h*p.w*p.c*sizeof(float));
|
|
|
+ return copy;
|
|
|
+}
|
|
|
+
|
|
|
+void rgbgr_image(image im)
|
|
|
+{
|
|
|
+ int i;
|
|
|
+ for(i = 0; i < im.w*im.h; ++i){
|
|
|
+ float swap = im.data[i];
|
|
|
+ im.data[i] = im.data[i+im.w*im.h*2];
|
|
|
+ im.data[i+im.w*im.h*2] = swap;
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+int show_image(image p, const char *name, int ms)
|
|
|
+{
|
|
|
+#ifdef OPENCV
|
|
|
+ int c = show_image_cv(p, name, ms);
|
|
|
+ return c;
|
|
|
+#else
|
|
|
+ fprintf(stderr, "Not compiled with OpenCV, saving to %s.png instead\n", name);
|
|
|
+ save_image(p, name);
|
|
|
+ return -1;
|
|
|
+#endif
|
|
|
+}
|
|
|
+
|
|
|
+void save_image_options(image im, const char *name, IMTYPE f, int quality)
|
|
|
+{
|
|
|
+ char buff[256];
|
|
|
+ //sprintf(buff, "%s (%d)", name, windows);
|
|
|
+ if(f == PNG) sprintf(buff, "%s.png", name);
|
|
|
+ else if (f == BMP) sprintf(buff, "%s.bmp", name);
|
|
|
+ else if (f == TGA) sprintf(buff, "%s.tga", name);
|
|
|
+ else if (f == JPG) sprintf(buff, "%s.jpg", name);
|
|
|
+ else sprintf(buff, "%s.png", name);
|
|
|
+ unsigned char *data = calloc(im.w*im.h*im.c, sizeof(char));
|
|
|
+ int i,k;
|
|
|
+ for(k = 0; k < im.c; ++k){
|
|
|
+ for(i = 0; i < im.w*im.h; ++i){
|
|
|
+ data[i*im.c+k] = (unsigned char) (255*im.data[i + k*im.w*im.h]);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ int success = 0;
|
|
|
+ if(f == PNG) success = stbi_write_png(buff, im.w, im.h, im.c, data, im.w*im.c);
|
|
|
+ else if (f == BMP) success = stbi_write_bmp(buff, im.w, im.h, im.c, data);
|
|
|
+ else if (f == TGA) success = stbi_write_tga(buff, im.w, im.h, im.c, data);
|
|
|
+ else if (f == JPG) success = stbi_write_jpg(buff, im.w, im.h, im.c, data, quality);
|
|
|
+ free(data);
|
|
|
+ if(!success) fprintf(stderr, "Failed to write image %s\n", buff);
|
|
|
+}
|
|
|
+
|
|
|
+void save_image(image im, const char *name)
|
|
|
+{
|
|
|
+ save_image_options(im, name, JPG, 80);
|
|
|
+}
|
|
|
+
|
|
|
+void show_image_layers(image p, char *name)
|
|
|
+{
|
|
|
+ int i;
|
|
|
+ char buff[256];
|
|
|
+ for(i = 0; i < p.c; ++i){
|
|
|
+ sprintf(buff, "%s - Layer %d", name, i);
|
|
|
+ image layer = get_image_layer(p, i);
|
|
|
+ show_image(layer, buff, 1);
|
|
|
+ free_image(layer);
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+void show_image_collapsed(image p, char *name)
|
|
|
+{
|
|
|
+ image c = collapse_image_layers(p, 1);
|
|
|
+ show_image(c, name, 1);
|
|
|
+ free_image(c);
|
|
|
+}
|
|
|
+
|
|
|
+image make_empty_image(int w, int h, int c)
|
|
|
+{
|
|
|
+ image out;
|
|
|
+ out.data = 0;
|
|
|
+ out.h = h;
|
|
|
+ out.w = w;
|
|
|
+ out.c = c;
|
|
|
+ return out;
|
|
|
+}
|
|
|
+
|
|
|
+image make_image(int w, int h, int c)
|
|
|
+{
|
|
|
+ image out = make_empty_image(w,h,c);
|
|
|
+ out.data = calloc(h*w*c, sizeof(float));
|
|
|
+ return out;
|
|
|
+}
|
|
|
+
|
|
|
+image make_random_image(int w, int h, int c)
|
|
|
+{
|
|
|
+ image out = make_empty_image(w,h,c);
|
|
|
+ out.data = calloc(h*w*c, sizeof(float));
|
|
|
+ int i;
|
|
|
+ for(i = 0; i < w*h*c; ++i){
|
|
|
+ out.data[i] = (rand_normal() * .25) + .5;
|
|
|
+ }
|
|
|
+ return out;
|
|
|
+}
|
|
|
+
|
|
|
+image float_to_image(int w, int h, int c, float *data)
|
|
|
+{
|
|
|
+ image out = make_empty_image(w,h,c);
|
|
|
+ out.data = data;
|
|
|
+ return out;
|
|
|
+}
|
|
|
+
|
|
|
+void place_image(image im, int w, int h, int dx, int dy, image canvas)
|
|
|
+{
|
|
|
+ int x, y, c;
|
|
|
+ for(c = 0; c < im.c; ++c){
|
|
|
+ for(y = 0; y < h; ++y){
|
|
|
+ for(x = 0; x < w; ++x){
|
|
|
+ float rx = ((float)x / w) * im.w;
|
|
|
+ float ry = ((float)y / h) * im.h;
|
|
|
+ float val = bilinear_interpolate(im, rx, ry, c);
|
|
|
+ set_pixel(canvas, x + dx, y + dy, c, val);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+image center_crop_image(image im, int w, int h)
|
|
|
+{
|
|
|
+ int m = (im.w < im.h) ? im.w : im.h;
|
|
|
+ image c = crop_image(im, (im.w - m) / 2, (im.h - m)/2, m, m);
|
|
|
+ image r = resize_image(c, w, h);
|
|
|
+ free_image(c);
|
|
|
+ return r;
|
|
|
+}
|
|
|
+
|
|
|
+image rotate_crop_image(image im, float rad, float s, int w, int h, float dx, float dy, float aspect)
|
|
|
+{
|
|
|
+ int x, y, c;
|
|
|
+ float cx = im.w/2.;
|
|
|
+ float cy = im.h/2.;
|
|
|
+ image rot = make_image(w, h, im.c);
|
|
|
+ for(c = 0; c < im.c; ++c){
|
|
|
+ for(y = 0; y < h; ++y){
|
|
|
+ for(x = 0; x < w; ++x){
|
|
|
+ float rx = cos(rad)*((x - w/2.)/s*aspect + dx/s*aspect) - sin(rad)*((y - h/2.)/s + dy/s) + cx;
|
|
|
+ float ry = sin(rad)*((x - w/2.)/s*aspect + dx/s*aspect) + cos(rad)*((y - h/2.)/s + dy/s) + cy;
|
|
|
+ float val = bilinear_interpolate(im, rx, ry, c);
|
|
|
+ set_pixel(rot, x, y, c, val);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ return rot;
|
|
|
+}
|
|
|
+
|
|
|
+image rotate_image(image im, float rad)
|
|
|
+{
|
|
|
+ int x, y, c;
|
|
|
+ float cx = im.w/2.;
|
|
|
+ float cy = im.h/2.;
|
|
|
+ image rot = make_image(im.w, im.h, im.c);
|
|
|
+ for(c = 0; c < im.c; ++c){
|
|
|
+ for(y = 0; y < im.h; ++y){
|
|
|
+ for(x = 0; x < im.w; ++x){
|
|
|
+ float rx = cos(rad)*(x-cx) - sin(rad)*(y-cy) + cx;
|
|
|
+ float ry = sin(rad)*(x-cx) + cos(rad)*(y-cy) + cy;
|
|
|
+ float val = bilinear_interpolate(im, rx, ry, c);
|
|
|
+ set_pixel(rot, x, y, c, val);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ return rot;
|
|
|
+}
|
|
|
+
|
|
|
+void fill_image(image m, float s)
|
|
|
+{
|
|
|
+ int i;
|
|
|
+ for(i = 0; i < m.h*m.w*m.c; ++i) m.data[i] = s;
|
|
|
+}
|
|
|
+
|
|
|
+void translate_image(image m, float s)
|
|
|
+{
|
|
|
+ int i;
|
|
|
+ for(i = 0; i < m.h*m.w*m.c; ++i) m.data[i] += s;
|
|
|
+}
|
|
|
+
|
|
|
+void scale_image(image m, float s)
|
|
|
+{
|
|
|
+ int i;
|
|
|
+ for(i = 0; i < m.h*m.w*m.c; ++i) m.data[i] *= s;
|
|
|
+}
|
|
|
+
|
|
|
+image crop_image(image im, int dx, int dy, int w, int h)
|
|
|
+{
|
|
|
+ image cropped = make_image(w, h, im.c);
|
|
|
+ int i, j, k;
|
|
|
+ for(k = 0; k < im.c; ++k){
|
|
|
+ for(j = 0; j < h; ++j){
|
|
|
+ for(i = 0; i < w; ++i){
|
|
|
+ int r = j + dy;
|
|
|
+ int c = i + dx;
|
|
|
+ float val = 0;
|
|
|
+ r = constrain_int(r, 0, im.h-1);
|
|
|
+ c = constrain_int(c, 0, im.w-1);
|
|
|
+ val = get_pixel(im, c, r, k);
|
|
|
+ set_pixel(cropped, i, j, k, val);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ return cropped;
|
|
|
+}
|
|
|
+
|
|
|
+int best_3d_shift_r(image a, image b, int min, int max)
|
|
|
+{
|
|
|
+ if(min == max) return min;
|
|
|
+ int mid = floor((min + max) / 2.);
|
|
|
+ image c1 = crop_image(b, 0, mid, b.w, b.h);
|
|
|
+ image c2 = crop_image(b, 0, mid+1, b.w, b.h);
|
|
|
+ float d1 = dist_array(c1.data, a.data, a.w*a.h*a.c, 10);
|
|
|
+ float d2 = dist_array(c2.data, a.data, a.w*a.h*a.c, 10);
|
|
|
+ free_image(c1);
|
|
|
+ free_image(c2);
|
|
|
+ if(d1 < d2) return best_3d_shift_r(a, b, min, mid);
|
|
|
+ else return best_3d_shift_r(a, b, mid+1, max);
|
|
|
+}
|
|
|
+
|
|
|
+int best_3d_shift(image a, image b, int min, int max)
|
|
|
+{
|
|
|
+ int i;
|
|
|
+ int best = 0;
|
|
|
+ float best_distance = FLT_MAX;
|
|
|
+ for(i = min; i <= max; i += 2){
|
|
|
+ image c = crop_image(b, 0, i, b.w, b.h);
|
|
|
+ float d = dist_array(c.data, a.data, a.w*a.h*a.c, 100);
|
|
|
+ if(d < best_distance){
|
|
|
+ best_distance = d;
|
|
|
+ best = i;
|
|
|
+ }
|
|
|
+ printf("%d %f\n", i, d);
|
|
|
+ free_image(c);
|
|
|
+ }
|
|
|
+ return best;
|
|
|
+}
|
|
|
+
|
|
|
+void composite_3d(char *f1, char *f2, char *out, int delta)
|
|
|
+{
|
|
|
+ if(!out) out = "out";
|
|
|
+ image a = load_image(f1, 0,0,0);
|
|
|
+ image b = load_image(f2, 0,0,0);
|
|
|
+ int shift = best_3d_shift_r(a, b, -a.h/100, a.h/100);
|
|
|
+
|
|
|
+ image c1 = crop_image(b, 10, shift, b.w, b.h);
|
|
|
+ float d1 = dist_array(c1.data, a.data, a.w*a.h*a.c, 100);
|
|
|
+ image c2 = crop_image(b, -10, shift, b.w, b.h);
|
|
|
+ float d2 = dist_array(c2.data, a.data, a.w*a.h*a.c, 100);
|
|
|
+
|
|
|
+ if(d2 < d1 && 0){
|
|
|
+ image swap = a;
|
|
|
+ a = b;
|
|
|
+ b = swap;
|
|
|
+ shift = -shift;
|
|
|
+ printf("swapped, %d\n", shift);
|
|
|
+ }
|
|
|
+ else{
|
|
|
+ printf("%d\n", shift);
|
|
|
+ }
|
|
|
+
|
|
|
+ image c = crop_image(b, delta, shift, a.w, a.h);
|
|
|
+ int i;
|
|
|
+ for(i = 0; i < c.w*c.h; ++i){
|
|
|
+ c.data[i] = a.data[i];
|
|
|
+ }
|
|
|
+ save_image(c, out);
|
|
|
+}
|
|
|
+
|
|
|
+void letterbox_image_into(image im, int w, int h, image boxed)
|
|
|
+{
|
|
|
+ int new_w = im.w;
|
|
|
+ int new_h = im.h;
|
|
|
+ if (((float)w/im.w) < ((float)h/im.h)) {
|
|
|
+ new_w = w;
|
|
|
+ new_h = (im.h * w)/im.w;
|
|
|
+ } else {
|
|
|
+ new_h = h;
|
|
|
+ new_w = (im.w * h)/im.h;
|
|
|
+ }
|
|
|
+ image resized = resize_image(im, new_w, new_h);
|
|
|
+ embed_image(resized, boxed, (w-new_w)/2, (h-new_h)/2);
|
|
|
+ free_image(resized);
|
|
|
+}
|
|
|
+
|
|
|
+image letterbox_image(image im, int w, int h)
|
|
|
+{
|
|
|
+ int new_w = im.w;
|
|
|
+ int new_h = im.h;
|
|
|
+ if (((float)w/im.w) < ((float)h/im.h)) {
|
|
|
+ new_w = w;
|
|
|
+ new_h = (im.h * w)/im.w;
|
|
|
+ } else {
|
|
|
+ new_h = h;
|
|
|
+ new_w = (im.w * h)/im.h;
|
|
|
+ }
|
|
|
+ image resized = resize_image(im, new_w, new_h);
|
|
|
+ image boxed = make_image(w, h, im.c);
|
|
|
+ fill_image(boxed, .5);
|
|
|
+ //int i;
|
|
|
+ //for(i = 0; i < boxed.w*boxed.h*boxed.c; ++i) boxed.data[i] = 0;
|
|
|
+ embed_image(resized, boxed, (w-new_w)/2, (h-new_h)/2);
|
|
|
+ free_image(resized);
|
|
|
+ return boxed;
|
|
|
+}
|
|
|
+
|
|
|
+image resize_max(image im, int max)
|
|
|
+{
|
|
|
+ int w = im.w;
|
|
|
+ int h = im.h;
|
|
|
+ if(w > h){
|
|
|
+ h = (h * max) / w;
|
|
|
+ w = max;
|
|
|
+ } else {
|
|
|
+ w = (w * max) / h;
|
|
|
+ h = max;
|
|
|
+ }
|
|
|
+ if(w == im.w && h == im.h) return im;
|
|
|
+ image resized = resize_image(im, w, h);
|
|
|
+ return resized;
|
|
|
+}
|
|
|
+
|
|
|
+image resize_min(image im, int min)
|
|
|
+{
|
|
|
+ int w = im.w;
|
|
|
+ int h = im.h;
|
|
|
+ if(w < h){
|
|
|
+ h = (h * min) / w;
|
|
|
+ w = min;
|
|
|
+ } else {
|
|
|
+ w = (w * min) / h;
|
|
|
+ h = min;
|
|
|
+ }
|
|
|
+ if(w == im.w && h == im.h) return im;
|
|
|
+ image resized = resize_image(im, w, h);
|
|
|
+ return resized;
|
|
|
+}
|
|
|
+
|
|
|
+image random_crop_image(image im, int w, int h)
|
|
|
+{
|
|
|
+ int dx = rand_int(0, im.w - w);
|
|
|
+ int dy = rand_int(0, im.h - h);
|
|
|
+ image crop = crop_image(im, dx, dy, w, h);
|
|
|
+ return crop;
|
|
|
+}
|
|
|
+
|
|
|
+augment_args random_augment_args(image im, float angle, float aspect, int low, int high, int w, int h)
|
|
|
+{
|
|
|
+ augment_args a = {0};
|
|
|
+ aspect = rand_scale(aspect);
|
|
|
+ int r = rand_int(low, high);
|
|
|
+ int min = (im.h < im.w*aspect) ? im.h : im.w*aspect;
|
|
|
+ float scale = (float)r / min;
|
|
|
+
|
|
|
+ float rad = rand_uniform(-angle, angle) * TWO_PI / 360.;
|
|
|
+
|
|
|
+ float dx = (im.w*scale/aspect - w) / 2.;
|
|
|
+ float dy = (im.h*scale - w) / 2.;
|
|
|
+ //if(dx < 0) dx = 0;
|
|
|
+ //if(dy < 0) dy = 0;
|
|
|
+ dx = rand_uniform(-dx, dx);
|
|
|
+ dy = rand_uniform(-dy, dy);
|
|
|
+
|
|
|
+ a.rad = rad;
|
|
|
+ a.scale = scale;
|
|
|
+ a.w = w;
|
|
|
+ a.h = h;
|
|
|
+ a.dx = dx;
|
|
|
+ a.dy = dy;
|
|
|
+ a.aspect = aspect;
|
|
|
+ return a;
|
|
|
+}
|
|
|
+
|
|
|
+image random_augment_image(image im, float angle, float aspect, int low, int high, int w, int h)
|
|
|
+{
|
|
|
+ augment_args a = random_augment_args(im, angle, aspect, low, high, w, h);
|
|
|
+ image crop = rotate_crop_image(im, a.rad, a.scale, a.w, a.h, a.dx, a.dy, a.aspect);
|
|
|
+ return crop;
|
|
|
+}
|
|
|
+
|
|
|
+float three_way_max(float a, float b, float c)
|
|
|
+{
|
|
|
+ return (a > b) ? ( (a > c) ? a : c) : ( (b > c) ? b : c) ;
|
|
|
+}
|
|
|
+
|
|
|
+float three_way_min(float a, float b, float c)
|
|
|
+{
|
|
|
+ return (a < b) ? ( (a < c) ? a : c) : ( (b < c) ? b : c) ;
|
|
|
+}
|
|
|
+
|
|
|
+void yuv_to_rgb(image im)
|
|
|
+{
|
|
|
+ assert(im.c == 3);
|
|
|
+ int i, j;
|
|
|
+ float r, g, b;
|
|
|
+ float y, u, v;
|
|
|
+ for(j = 0; j < im.h; ++j){
|
|
|
+ for(i = 0; i < im.w; ++i){
|
|
|
+ y = get_pixel(im, i , j, 0);
|
|
|
+ u = get_pixel(im, i , j, 1);
|
|
|
+ v = get_pixel(im, i , j, 2);
|
|
|
+
|
|
|
+ r = y + 1.13983*v;
|
|
|
+ g = y + -.39465*u + -.58060*v;
|
|
|
+ b = y + 2.03211*u;
|
|
|
+
|
|
|
+ set_pixel(im, i, j, 0, r);
|
|
|
+ set_pixel(im, i, j, 1, g);
|
|
|
+ set_pixel(im, i, j, 2, b);
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+void rgb_to_yuv(image im)
|
|
|
+{
|
|
|
+ assert(im.c == 3);
|
|
|
+ int i, j;
|
|
|
+ float r, g, b;
|
|
|
+ float y, u, v;
|
|
|
+ for(j = 0; j < im.h; ++j){
|
|
|
+ for(i = 0; i < im.w; ++i){
|
|
|
+ r = get_pixel(im, i , j, 0);
|
|
|
+ g = get_pixel(im, i , j, 1);
|
|
|
+ b = get_pixel(im, i , j, 2);
|
|
|
+
|
|
|
+ y = .299*r + .587*g + .114*b;
|
|
|
+ u = -.14713*r + -.28886*g + .436*b;
|
|
|
+ v = .615*r + -.51499*g + -.10001*b;
|
|
|
+
|
|
|
+ set_pixel(im, i, j, 0, y);
|
|
|
+ set_pixel(im, i, j, 1, u);
|
|
|
+ set_pixel(im, i, j, 2, v);
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+// http://www.cs.rit.edu/~ncs/color/t_convert.html
|
|
|
+void rgb_to_hsv(image im)
|
|
|
+{
|
|
|
+ assert(im.c == 3);
|
|
|
+ int i, j;
|
|
|
+ float r, g, b;
|
|
|
+ float h, s, v;
|
|
|
+ for(j = 0; j < im.h; ++j){
|
|
|
+ for(i = 0; i < im.w; ++i){
|
|
|
+ r = get_pixel(im, i , j, 0);
|
|
|
+ g = get_pixel(im, i , j, 1);
|
|
|
+ b = get_pixel(im, i , j, 2);
|
|
|
+ float max = three_way_max(r,g,b);
|
|
|
+ float min = three_way_min(r,g,b);
|
|
|
+ float delta = max - min;
|
|
|
+ v = max;
|
|
|
+ if(max == 0){
|
|
|
+ s = 0;
|
|
|
+ h = 0;
|
|
|
+ }else{
|
|
|
+ s = delta/max;
|
|
|
+ if(r == max){
|
|
|
+ h = (g - b) / delta;
|
|
|
+ } else if (g == max) {
|
|
|
+ h = 2 + (b - r) / delta;
|
|
|
+ } else {
|
|
|
+ h = 4 + (r - g) / delta;
|
|
|
+ }
|
|
|
+ if (h < 0) h += 6;
|
|
|
+ h = h/6.;
|
|
|
+ }
|
|
|
+ set_pixel(im, i, j, 0, h);
|
|
|
+ set_pixel(im, i, j, 1, s);
|
|
|
+ set_pixel(im, i, j, 2, v);
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+void hsv_to_rgb(image im)
|
|
|
+{
|
|
|
+ assert(im.c == 3);
|
|
|
+ int i, j;
|
|
|
+ float r, g, b;
|
|
|
+ float h, s, v;
|
|
|
+ float f, p, q, t;
|
|
|
+ for(j = 0; j < im.h; ++j){
|
|
|
+ for(i = 0; i < im.w; ++i){
|
|
|
+ h = 6 * get_pixel(im, i , j, 0);
|
|
|
+ s = get_pixel(im, i , j, 1);
|
|
|
+ v = get_pixel(im, i , j, 2);
|
|
|
+ if (s == 0) {
|
|
|
+ r = g = b = v;
|
|
|
+ } else {
|
|
|
+ int index = floor(h);
|
|
|
+ f = h - index;
|
|
|
+ p = v*(1-s);
|
|
|
+ q = v*(1-s*f);
|
|
|
+ t = v*(1-s*(1-f));
|
|
|
+ if(index == 0){
|
|
|
+ r = v; g = t; b = p;
|
|
|
+ } else if(index == 1){
|
|
|
+ r = q; g = v; b = p;
|
|
|
+ } else if(index == 2){
|
|
|
+ r = p; g = v; b = t;
|
|
|
+ } else if(index == 3){
|
|
|
+ r = p; g = q; b = v;
|
|
|
+ } else if(index == 4){
|
|
|
+ r = t; g = p; b = v;
|
|
|
+ } else {
|
|
|
+ r = v; g = p; b = q;
|
|
|
+ }
|
|
|
+ }
|
|
|
+ set_pixel(im, i, j, 0, r);
|
|
|
+ set_pixel(im, i, j, 1, g);
|
|
|
+ set_pixel(im, i, j, 2, b);
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+void grayscale_image_3c(image im)
|
|
|
+{
|
|
|
+ assert(im.c == 3);
|
|
|
+ int i, j, k;
|
|
|
+ float scale[] = {0.299, 0.587, 0.114};
|
|
|
+ for(j = 0; j < im.h; ++j){
|
|
|
+ for(i = 0; i < im.w; ++i){
|
|
|
+ float val = 0;
|
|
|
+ for(k = 0; k < 3; ++k){
|
|
|
+ val += scale[k]*get_pixel(im, i, j, k);
|
|
|
+ }
|
|
|
+ im.data[0*im.h*im.w + im.w*j + i] = val;
|
|
|
+ im.data[1*im.h*im.w + im.w*j + i] = val;
|
|
|
+ im.data[2*im.h*im.w + im.w*j + i] = val;
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+image grayscale_image(image im)
|
|
|
+{
|
|
|
+ assert(im.c == 3);
|
|
|
+ int i, j, k;
|
|
|
+ image gray = make_image(im.w, im.h, 1);
|
|
|
+ float scale[] = {0.299, 0.587, 0.114};
|
|
|
+ for(k = 0; k < im.c; ++k){
|
|
|
+ for(j = 0; j < im.h; ++j){
|
|
|
+ for(i = 0; i < im.w; ++i){
|
|
|
+ gray.data[i+im.w*j] += scale[k]*get_pixel(im, i, j, k);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ return gray;
|
|
|
+}
|
|
|
+
|
|
|
+image threshold_image(image im, float thresh)
|
|
|
+{
|
|
|
+ int i;
|
|
|
+ image t = make_image(im.w, im.h, im.c);
|
|
|
+ for(i = 0; i < im.w*im.h*im.c; ++i){
|
|
|
+ t.data[i] = im.data[i]>thresh ? 1 : 0;
|
|
|
+ }
|
|
|
+ return t;
|
|
|
+}
|
|
|
+
|
|
|
+image blend_image(image fore, image back, float alpha)
|
|
|
+{
|
|
|
+ assert(fore.w == back.w && fore.h == back.h && fore.c == back.c);
|
|
|
+ image blend = make_image(fore.w, fore.h, fore.c);
|
|
|
+ int i, j, k;
|
|
|
+ for(k = 0; k < fore.c; ++k){
|
|
|
+ for(j = 0; j < fore.h; ++j){
|
|
|
+ for(i = 0; i < fore.w; ++i){
|
|
|
+ float val = alpha * get_pixel(fore, i, j, k) +
|
|
|
+ (1 - alpha)* get_pixel(back, i, j, k);
|
|
|
+ set_pixel(blend, i, j, k, val);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ return blend;
|
|
|
+}
|
|
|
+
|
|
|
+void scale_image_channel(image im, int c, float v)
|
|
|
+{
|
|
|
+ int i, j;
|
|
|
+ for(j = 0; j < im.h; ++j){
|
|
|
+ for(i = 0; i < im.w; ++i){
|
|
|
+ float pix = get_pixel(im, i, j, c);
|
|
|
+ pix = pix*v;
|
|
|
+ set_pixel(im, i, j, c, pix);
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+void translate_image_channel(image im, int c, float v)
|
|
|
+{
|
|
|
+ int i, j;
|
|
|
+ for(j = 0; j < im.h; ++j){
|
|
|
+ for(i = 0; i < im.w; ++i){
|
|
|
+ float pix = get_pixel(im, i, j, c);
|
|
|
+ pix = pix+v;
|
|
|
+ set_pixel(im, i, j, c, pix);
|
|
|
+ }
|
|
|
+ }
|
|
|
+}
|
|
|
+
|
|
|
+image binarize_image(image im)
|
|
|
+{
|
|
|
+ image c = copy_image(im);
|
|
|
+ int i;
|
|
|
+ for(i = 0; i < im.w * im.h * im.c; ++i){
|
|
|
+ if(c.data[i] > .5) c.data[i] = 1;
|
|
|
+ else c.data[i] = 0;
|
|
|
+ }
|
|
|
+ return c;
|
|
|
+}
|
|
|
+
|
|
|
+void saturate_image(image im, float sat)
|
|
|
+{
|
|
|
+ rgb_to_hsv(im);
|
|
|
+ scale_image_channel(im, 1, sat);
|
|
|
+ hsv_to_rgb(im);
|
|
|
+ constrain_image(im);
|
|
|
+}
|
|
|
+
|
|
|
+void hue_image(image im, float hue)
|
|
|
+{
|
|
|
+ rgb_to_hsv(im);
|
|
|
+ int i;
|
|
|
+ for(i = 0; i < im.w*im.h; ++i){
|
|
|
+ im.data[i] = im.data[i] + hue;
|
|
|
+ if (im.data[i] > 1) im.data[i] -= 1;
|
|
|
+ if (im.data[i] < 0) im.data[i] += 1;
|
|
|
+ }
|
|
|
+ hsv_to_rgb(im);
|
|
|
+ constrain_image(im);
|
|
|
+}
|
|
|
+
|
|
|
+void exposure_image(image im, float sat)
|
|
|
+{
|
|
|
+ rgb_to_hsv(im);
|
|
|
+ scale_image_channel(im, 2, sat);
|
|
|
+ hsv_to_rgb(im);
|
|
|
+ constrain_image(im);
|
|
|
+}
|
|
|
+
|
|
|
+void distort_image(image im, float hue, float sat, float val)
|
|
|
+{
|
|
|
+ rgb_to_hsv(im);
|
|
|
+ scale_image_channel(im, 1, sat);
|
|
|
+ scale_image_channel(im, 2, val);
|
|
|
+ int i;
|
|
|
+ for(i = 0; i < im.w*im.h; ++i){
|
|
|
+ im.data[i] = im.data[i] + hue;
|
|
|
+ if (im.data[i] > 1) im.data[i] -= 1;
|
|
|
+ if (im.data[i] < 0) im.data[i] += 1;
|
|
|
+ }
|
|
|
+ hsv_to_rgb(im);
|
|
|
+ constrain_image(im);
|
|
|
+}
|
|
|
+
|
|
|
+void random_distort_image(image im, float hue, float saturation, float exposure)
|
|
|
+{
|
|
|
+ float dhue = rand_uniform(-hue, hue);
|
|
|
+ float dsat = rand_scale(saturation);
|
|
|
+ float dexp = rand_scale(exposure);
|
|
|
+ distort_image(im, dhue, dsat, dexp);
|
|
|
+}
|
|
|
+
|
|
|
+void saturate_exposure_image(image im, float sat, float exposure)
|
|
|
+{
|
|
|
+ rgb_to_hsv(im);
|
|
|
+ scale_image_channel(im, 1, sat);
|
|
|
+ scale_image_channel(im, 2, exposure);
|
|
|
+ hsv_to_rgb(im);
|
|
|
+ constrain_image(im);
|
|
|
+}
|
|
|
+
|
|
|
+image resize_image(image im, int w, int h)
|
|
|
+{
|
|
|
+ image resized = make_image(w, h, im.c);
|
|
|
+ image part = make_image(w, im.h, im.c);
|
|
|
+ int r, c, k;
|
|
|
+ float w_scale = (float)(im.w - 1) / (w - 1);
|
|
|
+ float h_scale = (float)(im.h - 1) / (h - 1);
|
|
|
+ for(k = 0; k < im.c; ++k){
|
|
|
+ for(r = 0; r < im.h; ++r){
|
|
|
+ for(c = 0; c < w; ++c){
|
|
|
+ float val = 0;
|
|
|
+ if(c == w-1 || im.w == 1){
|
|
|
+ val = get_pixel(im, im.w-1, r, k);
|
|
|
+ } else {
|
|
|
+ float sx = c*w_scale;
|
|
|
+ int ix = (int) sx;
|
|
|
+ float dx = sx - ix;
|
|
|
+ val = (1 - dx) * get_pixel(im, ix, r, k) + dx * get_pixel(im, ix+1, r, k);
|
|
|
+ }
|
|
|
+ set_pixel(part, c, r, k, val);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ for(k = 0; k < im.c; ++k){
|
|
|
+ for(r = 0; r < h; ++r){
|
|
|
+ float sy = r*h_scale;
|
|
|
+ int iy = (int) sy;
|
|
|
+ float dy = sy - iy;
|
|
|
+ for(c = 0; c < w; ++c){
|
|
|
+ float val = (1-dy) * get_pixel(part, c, iy, k);
|
|
|
+ set_pixel(resized, c, r, k, val);
|
|
|
+ }
|
|
|
+ if(r == h-1 || im.h == 1) continue;
|
|
|
+ for(c = 0; c < w; ++c){
|
|
|
+ float val = dy * get_pixel(part, c, iy+1, k);
|
|
|
+ add_pixel(resized, c, r, k, val);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ free_image(part);
|
|
|
+ return resized;
|
|
|
+}
|
|
|
+
|
|
|
+
|
|
|
+void test_resize(char *filename)
|
|
|
+{
|
|
|
+ image im = load_image(filename, 0,0, 3);
|
|
|
+ float mag = mag_array(im.data, im.w*im.h*im.c);
|
|
|
+ printf("L2 Norm: %f\n", mag);
|
|
|
+ image gray = grayscale_image(im);
|
|
|
+
|
|
|
+ image c1 = copy_image(im);
|
|
|
+ image c2 = copy_image(im);
|
|
|
+ image c3 = copy_image(im);
|
|
|
+ image c4 = copy_image(im);
|
|
|
+ distort_image(c1, .1, 1.5, 1.5);
|
|
|
+ distort_image(c2, -.1, .66666, .66666);
|
|
|
+ distort_image(c3, .1, 1.5, .66666);
|
|
|
+ distort_image(c4, .1, .66666, 1.5);
|
|
|
+
|
|
|
+
|
|
|
+ show_image(im, "Original", 1);
|
|
|
+ show_image(gray, "Gray", 1);
|
|
|
+ show_image(c1, "C1", 1);
|
|
|
+ show_image(c2, "C2", 1);
|
|
|
+ show_image(c3, "C3", 1);
|
|
|
+ show_image(c4, "C4", 1);
|
|
|
+#ifdef OPENCV
|
|
|
+ while(1){
|
|
|
+ image aug = random_augment_image(im, 0, .75, 320, 448, 320, 320);
|
|
|
+ show_image(aug, "aug", 1);
|
|
|
+ free_image(aug);
|
|
|
+
|
|
|
+
|
|
|
+ float exposure = 1.15;
|
|
|
+ float saturation = 1.15;
|
|
|
+ float hue = .05;
|
|
|
+
|
|
|
+ image c = copy_image(im);
|
|
|
+
|
|
|
+ float dexp = rand_scale(exposure);
|
|
|
+ float dsat = rand_scale(saturation);
|
|
|
+ float dhue = rand_uniform(-hue, hue);
|
|
|
+
|
|
|
+ distort_image(c, dhue, dsat, dexp);
|
|
|
+ show_image(c, "rand", 1);
|
|
|
+ printf("%f %f %f\n", dhue, dsat, dexp);
|
|
|
+ free_image(c);
|
|
|
+ }
|
|
|
+#endif
|
|
|
+}
|
|
|
+
|
|
|
+
|
|
|
+image load_image_stb(char *filename, int channels)
|
|
|
+{
|
|
|
+ int w, h, c;
|
|
|
+ unsigned char *data = stbi_load(filename, &w, &h, &c, channels);
|
|
|
+ if (!data) {
|
|
|
+ fprintf(stderr, "Cannot load image \"%s\"\nSTB Reason: %s\n", filename, stbi_failure_reason());
|
|
|
+ exit(0);
|
|
|
+ }
|
|
|
+ if(channels) c = channels;
|
|
|
+ int i,j,k;
|
|
|
+ image im = make_image(w, h, c);
|
|
|
+ for(k = 0; k < c; ++k){
|
|
|
+ for(j = 0; j < h; ++j){
|
|
|
+ for(i = 0; i < w; ++i){
|
|
|
+ int dst_index = i + w*j + w*h*k;
|
|
|
+ int src_index = k + c*i + c*w*j;
|
|
|
+ im.data[dst_index] = (float)data[src_index]/255.;
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
+ free(data);
|
|
|
+ return im;
|
|
|
+}
|
|
|
+
|
|
|
+image load_image(char *filename, int w, int h, int c)
|
|
|
+{
|
|
|
+#ifdef OPENCV
|
|
|
+ image out = load_image_cv(filename, c);
|
|
|
+#else
|
|
|
+ image out = load_image_stb(filename, c);
|
|
|
+#endif
|
|
|
+
|
|
|
+ if((h && w) && (h != out.h || w != out.w)){
|
|
|
+ image resized = resize_image(out, w, h);
|
|
|
+ free_image(out);
|
|
|
+ out = resized;
|
|
|
+ }
|
|
|
+ return out;
|
|
|
+}
|
|
|
+
|
|
|
+image load_image_color(char *filename, int w, int h)
|
|
|
+{
|
|
|
+ return load_image(filename, w, h, 3);
|
|
|
+}
|
|
|
+
|
|
|
+image get_image_layer(image m, int l)
|
|
|
+{
|
|
|
+ image out = make_image(m.w, m.h, 1);
|
|
|
+ int i;
|
|
|
+ for(i = 0; i < m.h*m.w; ++i){
|
|
|
+ out.data[i] = m.data[i+l*m.h*m.w];
|
|
|
+ }
|
|
|
+ return out;
|
|
|
+}
|
|
|
+void print_image(image m)
|
|
|
+{
|
|
|
+ int i, j, k;
|
|
|
+ for(i =0 ; i < m.c; ++i){
|
|
|
+ for(j =0 ; j < m.h; ++j){
|
|
|
+ for(k = 0; k < m.w; ++k){
|
|
|
+ printf("%.2lf, ", m.data[i*m.h*m.w + j*m.w + k]);
|
|
|
+ if(k > 30) break;
|
|
|
+ }
|
|
|
+ printf("\n");
|
|
|
+ if(j > 30) break;
|
|
|
+ }
|
|
|
+ printf("\n");
|
|
|
+ }
|
|
|
+ printf("\n");
|
|
|
+}
|
|
|
+
|
|
|
+image collapse_images_vert(image *ims, int n)
|
|
|
+{
|
|
|
+ int color = 1;
|
|
|
+ int border = 1;
|
|
|
+ int h,w,c;
|
|
|
+ w = ims[0].w;
|
|
|
+ h = (ims[0].h + border) * n - border;
|
|
|
+ c = ims[0].c;
|
|
|
+ if(c != 3 || !color){
|
|
|
+ w = (w+border)*c - border;
|
|
|
+ c = 1;
|
|
|
+ }
|
|
|
+
|
|
|
+ image filters = make_image(w, h, c);
|
|
|
+ int i,j;
|
|
|
+ for(i = 0; i < n; ++i){
|
|
|
+ int h_offset = i*(ims[0].h+border);
|
|
|
+ image copy = copy_image(ims[i]);
|
|
|
+ //normalize_image(copy);
|
|
|
+ if(c == 3 && color){
|
|
|
+ embed_image(copy, filters, 0, h_offset);
|
|
|
+ }
|
|
|
+ else{
|
|
|
+ for(j = 0; j < copy.c; ++j){
|
|
|
+ int w_offset = j*(ims[0].w+border);
|
|
|
+ image layer = get_image_layer(copy, j);
|
|
|
+ embed_image(layer, filters, w_offset, h_offset);
|
|
|
+ free_image(layer);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ free_image(copy);
|
|
|
+ }
|
|
|
+ return filters;
|
|
|
+}
|
|
|
+
|
|
|
+image collapse_images_horz(image *ims, int n)
|
|
|
+{
|
|
|
+ int color = 1;
|
|
|
+ int border = 1;
|
|
|
+ int h,w,c;
|
|
|
+ int size = ims[0].h;
|
|
|
+ h = size;
|
|
|
+ w = (ims[0].w + border) * n - border;
|
|
|
+ c = ims[0].c;
|
|
|
+ if(c != 3 || !color){
|
|
|
+ h = (h+border)*c - border;
|
|
|
+ c = 1;
|
|
|
+ }
|
|
|
+
|
|
|
+ image filters = make_image(w, h, c);
|
|
|
+ int i,j;
|
|
|
+ for(i = 0; i < n; ++i){
|
|
|
+ int w_offset = i*(size+border);
|
|
|
+ image copy = copy_image(ims[i]);
|
|
|
+ //normalize_image(copy);
|
|
|
+ if(c == 3 && color){
|
|
|
+ embed_image(copy, filters, w_offset, 0);
|
|
|
+ }
|
|
|
+ else{
|
|
|
+ for(j = 0; j < copy.c; ++j){
|
|
|
+ int h_offset = j*(size+border);
|
|
|
+ image layer = get_image_layer(copy, j);
|
|
|
+ embed_image(layer, filters, w_offset, h_offset);
|
|
|
+ free_image(layer);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ free_image(copy);
|
|
|
+ }
|
|
|
+ return filters;
|
|
|
+}
|
|
|
+
|
|
|
+void show_image_normalized(image im, const char *name)
|
|
|
+{
|
|
|
+ image c = copy_image(im);
|
|
|
+ normalize_image(c);
|
|
|
+ show_image(c, name, 1);
|
|
|
+ free_image(c);
|
|
|
+}
|
|
|
+
|
|
|
+void show_images(image *ims, int n, char *window)
|
|
|
+{
|
|
|
+ image m = collapse_images_vert(ims, n);
|
|
|
+ /*
|
|
|
+ int w = 448;
|
|
|
+ int h = ((float)m.h/m.w) * 448;
|
|
|
+ if(h > 896){
|
|
|
+ h = 896;
|
|
|
+ w = ((float)m.w/m.h) * 896;
|
|
|
+ }
|
|
|
+ image sized = resize_image(m, w, h);
|
|
|
+ */
|
|
|
+ normalize_image(m);
|
|
|
+ save_image(m, window);
|
|
|
+ show_image(m, window, 1);
|
|
|
+ free_image(m);
|
|
|
+}
|
|
|
+
|
|
|
+void free_image(image m)
|
|
|
+{
|
|
|
+ if(m.data){
|
|
|
+ free(m.data);
|
|
|
+ }
|
|
|
+}
|
Toby Chui
3 yıl önce