image.c
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00001 #include "image.h"
00002 #include "utils.h"
00003 #include "blas.h"
00004 #include "cuda.h"
00005 #include <stdio.h>
00006 #include <math.h>
00007 
00008 #define STB_IMAGE_IMPLEMENTATION
00009 #include "stb_image.h"
00010 #define STB_IMAGE_WRITE_IMPLEMENTATION
00011 #include "stb_image_write.h"
00012 
00013 #ifdef OPENCV
00014 #include "opencv2/highgui/highgui_c.h"
00015 #include "opencv2/imgproc/imgproc_c.h"
00016 #endif
00017 
00018 
00019 int windows = 0;
00020 
00021 float colors[6][3] = { {1,0,1}, {0,0,1},{0,1,1},{0,1,0},{1,1,0},{1,0,0} };
00022 
00023 float get_color(int c, int x, int max)
00024 {
00025     float ratio = ((float)x/max)*5;
00026     int i = floor(ratio);
00027     int j = ceil(ratio);
00028     ratio -= i;
00029     float r = (1-ratio) * colors[i][c] + ratio*colors[j][c];
00030     //printf("%f\n", r);
00031     return r;
00032 }
00033 
00034 void composite_image(image source, image dest, int dx, int dy)
00035 {
00036     int x,y,k;
00037     for(k = 0; k < source.c; ++k){
00038         for(y = 0; y < source.h; ++y){
00039             for(x = 0; x < source.w; ++x){
00040                 float val = get_pixel(source, x, y, k);
00041                 float val2 = get_pixel_extend(dest, dx+x, dy+y, k);
00042                 set_pixel(dest, dx+x, dy+y, k, val * val2);
00043             }
00044         }
00045     }
00046 }
00047 
00048 image border_image(image a, int border)
00049 {
00050     image b = make_image(a.w + 2*border, a.h + 2*border, a.c);
00051     int x,y,k;
00052     for(k = 0; k < b.c; ++k){
00053         for(y = 0; y < b.h; ++y){
00054             for(x = 0; x < b.w; ++x){
00055                 float val = get_pixel_extend(a, x - border, y - border, k);
00056                 if(x - border < 0 || x - border >= a.w || y - border < 0 || y - border >= a.h) val = 1;
00057                 set_pixel(b, x, y, k, val);
00058             }
00059         }
00060     }
00061     return b;
00062 }
00063 
00064 image tile_images(image a, image b, int dx)
00065 {
00066     if(a.w == 0) return copy_image(b);
00067     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);
00068     fill_cpu(c.w*c.h*c.c, 1, c.data, 1);
00069     embed_image(a, c, 0, 0); 
00070     composite_image(b, c, a.w + dx, 0);
00071     return c;
00072 }
00073 
00074 image get_label(image **characters, char *string, int size)
00075 {
00076     if(size > 7) size = 7;
00077     image label = make_empty_image(0,0,0);
00078     while(*string){
00079         image l = characters[size][(int)*string];
00080         image n = tile_images(label, l, -size - 1 + (size+1)/2);
00081         free_image(label);
00082         label = n;
00083         ++string;
00084     }
00085     image b = border_image(label, label.h*.25);
00086     free_image(label);
00087     return b;
00088 }
00089 
00090 void draw_label(image a, int r, int c, image label, const float *rgb)
00091 {
00092     int w = label.w;
00093     int h = label.h;
00094     if (r - h >= 0) r = r - h;
00095 
00096     int i, j, k;
00097     for(j = 0; j < h && j + r < a.h; ++j){
00098         for(i = 0; i < w && i + c < a.w; ++i){
00099             for(k = 0; k < label.c; ++k){
00100                 float val = get_pixel(label, i, j, k);
00101                 set_pixel(a, i+c, j+r, k, rgb[k] * val);
00102             }
00103         }
00104     }
00105 }
00106 
00107 void draw_box(image a, int x1, int y1, int x2, int y2, float r, float g, float b)
00108 {
00109     //normalize_image(a);
00110     int i;
00111     if(x1 < 0) x1 = 0;
00112     if(x1 >= a.w) x1 = a.w-1;
00113     if(x2 < 0) x2 = 0;
00114     if(x2 >= a.w) x2 = a.w-1;
00115 
00116     if(y1 < 0) y1 = 0;
00117     if(y1 >= a.h) y1 = a.h-1;
00118     if(y2 < 0) y2 = 0;
00119     if(y2 >= a.h) y2 = a.h-1;
00120 
00121     for(i = x1; i <= x2; ++i){
00122         a.data[i + y1*a.w + 0*a.w*a.h] = r;
00123         a.data[i + y2*a.w + 0*a.w*a.h] = r;
00124 
00125         a.data[i + y1*a.w + 1*a.w*a.h] = g;
00126         a.data[i + y2*a.w + 1*a.w*a.h] = g;
00127 
00128         a.data[i + y1*a.w + 2*a.w*a.h] = b;
00129         a.data[i + y2*a.w + 2*a.w*a.h] = b;
00130     }
00131     for(i = y1; i <= y2; ++i){
00132         a.data[x1 + i*a.w + 0*a.w*a.h] = r;
00133         a.data[x2 + i*a.w + 0*a.w*a.h] = r;
00134 
00135         a.data[x1 + i*a.w + 1*a.w*a.h] = g;
00136         a.data[x2 + i*a.w + 1*a.w*a.h] = g;
00137 
00138         a.data[x1 + i*a.w + 2*a.w*a.h] = b;
00139         a.data[x2 + i*a.w + 2*a.w*a.h] = b;
00140     }
00141 }
00142 
00143 void draw_box_width(image a, int x1, int y1, int x2, int y2, int w, float r, float g, float b)
00144 {
00145     int i;
00146     for(i = 0; i < w; ++i){
00147         draw_box(a, x1+i, y1+i, x2-i, y2-i, r, g, b);
00148     }
00149 }
00150 
00151 void draw_bbox(image a, box bbox, int w, float r, float g, float b)
00152 {
00153     int left  = (bbox.x-bbox.w/2)*a.w;
00154     int right = (bbox.x+bbox.w/2)*a.w;
00155     int top   = (bbox.y-bbox.h/2)*a.h;
00156     int bot   = (bbox.y+bbox.h/2)*a.h;
00157 
00158     int i;
00159     for(i = 0; i < w; ++i){
00160         draw_box(a, left+i, top+i, right-i, bot-i, r, g, b);
00161     }
00162 }
00163 
00164 image **load_alphabet()
00165 {
00166     int i, j;
00167     const int nsize = 8;
00168     image **alphabets = calloc(nsize, sizeof(image));
00169     for(j = 0; j < nsize; ++j){
00170         alphabets[j] = calloc(128, sizeof(image));
00171         for(i = 32; i < 127; ++i){
00172             char buff[256];
00173             sprintf(buff, "data/labels/%d_%d.png", i, j);
00174             alphabets[j][i] = load_image_color(buff, 0, 0);
00175         }
00176     }
00177     return alphabets;
00178 }
00179 
00180 void draw_detections(image im, int num, float thresh, box *boxes, float **probs, char **names, image **alphabet, int classes)
00181 {
00182     int i;
00183 
00184     for(i = 0; i < num; ++i){
00185         int class = max_index(probs[i], classes);
00186         float prob = probs[i][class];
00187         if(prob > thresh){
00188 
00189             int width = im.h * .012;
00190 
00191             if(0){
00192                 width = pow(prob, 1./2.)*10+1;
00193                 alphabet = 0;
00194             }
00195 
00196             printf("%s: %.0f%%\n", names[class], prob*100);
00197             int offset = class*123457 % classes;
00198             float red = get_color(2,offset,classes);
00199             float green = get_color(1,offset,classes);
00200             float blue = get_color(0,offset,classes);
00201             float rgb[3];
00202 
00203             //width = prob*20+2;
00204 
00205             rgb[0] = red;
00206             rgb[1] = green;
00207             rgb[2] = blue;
00208             box b = boxes[i];
00209 
00210             int left  = (b.x-b.w/2.)*im.w;
00211             int right = (b.x+b.w/2.)*im.w;
00212             int top   = (b.y-b.h/2.)*im.h;
00213             int bot   = (b.y+b.h/2.)*im.h;
00214 
00215             if(left < 0) left = 0;
00216             if(right > im.w-1) right = im.w-1;
00217             if(top < 0) top = 0;
00218             if(bot > im.h-1) bot = im.h-1;
00219 
00220             draw_box_width(im, left, top, right, bot, width, red, green, blue);
00221             if (alphabet) {
00222                 image label = get_label(alphabet, names[class], (im.h*.03)/10);
00223                 draw_label(im, top + width, left, label, rgb);
00224             }
00225         }
00226     }
00227 }
00228 
00229 void transpose_image(image im)
00230 {
00231     assert(im.w == im.h);
00232     int n, m;
00233     int c;
00234     for(c = 0; c < im.c; ++c){
00235         for(n = 0; n < im.w-1; ++n){
00236             for(m = n + 1; m < im.w; ++m){
00237                 float swap = im.data[m + im.w*(n + im.h*c)];
00238                 im.data[m + im.w*(n + im.h*c)] = im.data[n + im.w*(m + im.h*c)];
00239                 im.data[n + im.w*(m + im.h*c)] = swap;
00240             }
00241         }
00242     }
00243 }
00244 
00245 void rotate_image_cw(image im, int times)
00246 {
00247     assert(im.w == im.h);
00248     times = (times + 400) % 4;
00249     int i, x, y, c;
00250     int n = im.w;
00251     for(i = 0; i < times; ++i){
00252         for(c = 0; c < im.c; ++c){
00253             for(x = 0; x < n/2; ++x){
00254                 for(y = 0; y < (n-1)/2 + 1; ++y){
00255                     float temp = im.data[y + im.w*(x + im.h*c)];
00256                     im.data[y + im.w*(x + im.h*c)] = im.data[n-1-x + im.w*(y + im.h*c)];
00257                     im.data[n-1-x + im.w*(y + im.h*c)] = im.data[n-1-y + im.w*(n-1-x + im.h*c)];
00258                     im.data[n-1-y + im.w*(n-1-x + im.h*c)] = im.data[x + im.w*(n-1-y + im.h*c)];
00259                     im.data[x + im.w*(n-1-y + im.h*c)] = temp;
00260                 }
00261             }
00262         }
00263     }
00264 }
00265 
00266 void flip_image(image a)
00267 {
00268     int i,j,k;
00269     for(k = 0; k < a.c; ++k){
00270         for(i = 0; i < a.h; ++i){
00271             for(j = 0; j < a.w/2; ++j){
00272                 int index = j + a.w*(i + a.h*(k));
00273                 int flip = (a.w - j - 1) + a.w*(i + a.h*(k));
00274                 float swap = a.data[flip];
00275                 a.data[flip] = a.data[index];
00276                 a.data[index] = swap;
00277             }
00278         }
00279     }
00280 }
00281 
00282 image image_distance(image a, image b)
00283 {
00284     int i,j;
00285     image dist = make_image(a.w, a.h, 1);
00286     for(i = 0; i < a.c; ++i){
00287         for(j = 0; j < a.h*a.w; ++j){
00288             dist.data[j] += pow(a.data[i*a.h*a.w+j]-b.data[i*a.h*a.w+j],2);
00289         }
00290     }
00291     for(j = 0; j < a.h*a.w; ++j){
00292         dist.data[j] = sqrt(dist.data[j]);
00293     }
00294     return dist;
00295 }
00296 
00297 void embed_image(image source, image dest, int dx, int dy)
00298 {
00299     int x,y,k;
00300     for(k = 0; k < source.c; ++k){
00301         for(y = 0; y < source.h; ++y){
00302             for(x = 0; x < source.w; ++x){
00303                 float val = get_pixel(source, x,y,k);
00304                 set_pixel(dest, dx+x, dy+y, k, val);
00305             }
00306         }
00307     }
00308 }
00309 
00310 image collapse_image_layers(image source, int border)
00311 {
00312     int h = source.h;
00313     h = (h+border)*source.c - border;
00314     image dest = make_image(source.w, h, 1);
00315     int i;
00316     for(i = 0; i < source.c; ++i){
00317         image layer = get_image_layer(source, i);
00318         int h_offset = i*(source.h+border);
00319         embed_image(layer, dest, 0, h_offset);
00320         free_image(layer);
00321     }
00322     return dest;
00323 }
00324 
00325 void constrain_image(image im)
00326 {
00327     int i;
00328     for(i = 0; i < im.w*im.h*im.c; ++i){
00329         if(im.data[i] < 0) im.data[i] = 0;
00330         if(im.data[i] > 1) im.data[i] = 1;
00331     }
00332 }
00333 
00334 void normalize_image(image p)
00335 {
00336     int i;
00337     float min = 9999999;
00338     float max = -999999;
00339 
00340     for(i = 0; i < p.h*p.w*p.c; ++i){
00341         float v = p.data[i];
00342         if(v < min) min = v;
00343         if(v > max) max = v;
00344     }
00345     if(max - min < .000000001){
00346         min = 0;
00347         max = 1;
00348     }
00349     for(i = 0; i < p.c*p.w*p.h; ++i){
00350         p.data[i] = (p.data[i] - min)/(max-min);
00351     }
00352 }
00353 
00354 void normalize_image2(image p)
00355 {
00356     float *min = calloc(p.c, sizeof(float));
00357     float *max = calloc(p.c, sizeof(float));
00358     int i,j;
00359     for(i = 0; i < p.c; ++i) min[i] = max[i] = p.data[i*p.h*p.w];
00360 
00361     for(j = 0; j < p.c; ++j){
00362         for(i = 0; i < p.h*p.w; ++i){
00363             float v = p.data[i+j*p.h*p.w];
00364             if(v < min[j]) min[j] = v;
00365             if(v > max[j]) max[j] = v;
00366         }
00367     }
00368     for(i = 0; i < p.c; ++i){
00369         if(max[i] - min[i] < .000000001){
00370             min[i] = 0;
00371             max[i] = 1;
00372         }
00373     }
00374     for(j = 0; j < p.c; ++j){
00375         for(i = 0; i < p.w*p.h; ++i){
00376             p.data[i+j*p.h*p.w] = (p.data[i+j*p.h*p.w] - min[j])/(max[j]-min[j]);
00377         }
00378     }
00379     free(min);
00380     free(max);
00381 }
00382 
00383 image copy_image(image p)
00384 {
00385     image copy = p;
00386     copy.data = calloc(p.h*p.w*p.c, sizeof(float));
00387     memcpy(copy.data, p.data, p.h*p.w*p.c*sizeof(float));
00388     return copy;
00389 }
00390 
00391 void rgbgr_image(image im)
00392 {
00393     int i;
00394     for(i = 0; i < im.w*im.h; ++i){
00395         float swap = im.data[i];
00396         im.data[i] = im.data[i+im.w*im.h*2];
00397         im.data[i+im.w*im.h*2] = swap;
00398     }
00399 }
00400 
00401 #ifdef OPENCV
00402 void show_image_cv(image p, const char *name)
00403 {
00404     int x,y,k;
00405     image copy = copy_image(p);
00406     constrain_image(copy);
00407     if(p.c == 3) rgbgr_image(copy);
00408     //normalize_image(copy);
00409 
00410     char buff[256];
00411     //sprintf(buff, "%s (%d)", name, windows);
00412     sprintf(buff, "%s", name);
00413 
00414     IplImage *disp = cvCreateImage(cvSize(p.w,p.h), IPL_DEPTH_8U, p.c);
00415     int step = disp->widthStep;
00416     cvNamedWindow(buff, CV_WINDOW_NORMAL); 
00417     //cvMoveWindow(buff, 100*(windows%10) + 200*(windows/10), 100*(windows%10));
00418     ++windows;
00419     for(y = 0; y < p.h; ++y){
00420         for(x = 0; x < p.w; ++x){
00421             for(k= 0; k < p.c; ++k){
00422                 disp->imageData[y*step + x*p.c + k] = (unsigned char)(get_pixel(copy,x,y,k)*255);
00423             }
00424         }
00425     }
00426     free_image(copy);
00427     if(0){
00428         int w = 448;
00429         int h = w*p.h/p.w;
00430         if(h > 1000){
00431             h = 1000;
00432             w = h*p.w/p.h;
00433         }
00434         IplImage *buffer = disp;
00435         disp = cvCreateImage(cvSize(w, h), buffer->depth, buffer->nChannels);
00436         cvResize(buffer, disp, CV_INTER_LINEAR);
00437         cvReleaseImage(&buffer);
00438     }
00439     cvShowImage(buff, disp);
00440     cvReleaseImage(&disp);
00441 }
00442 #endif
00443 
00444 void show_image(image p, const char *name)
00445 {
00446 #ifdef OPENCV
00447     show_image_cv(p, name);
00448 #else
00449     fprintf(stderr, "Not compiled with OpenCV, saving to %s.png instead\n", name);
00450     save_image(p, name);
00451 #endif
00452 }
00453 
00454 #ifdef OPENCV
00455 
00456 image ipl_to_image(IplImage* src)
00457 {
00458     unsigned char *data = (unsigned char *)src->imageData;
00459     int h = src->height;
00460     int w = src->width;
00461     int c = src->nChannels;
00462     int step = src->widthStep;
00463     image out = make_image(w, h, c);
00464     int i, j, k, count=0;;
00465 
00466     for(k= 0; k < c; ++k){
00467         for(i = 0; i < h; ++i){
00468             for(j = 0; j < w; ++j){
00469                 out.data[count++] = data[i*step + j*c + k]/255.;
00470             }
00471         }
00472     }
00473     return out;
00474 }
00475 
00476 image load_image_cv(char *filename, int channels)
00477 {
00478     IplImage* src = 0;
00479     int flag = -1;
00480     if (channels == 0) flag = -1;
00481     else if (channels == 1) flag = 0;
00482     else if (channels == 3) flag = 1;
00483     else {
00484         fprintf(stderr, "OpenCV can't force load with %d channels\n", channels);
00485     }
00486 
00487     if( (src = cvLoadImage(filename, flag)) == 0 )
00488     {
00489         fprintf(stderr, "Cannot load image \"%s\"\n", filename);
00490         char buff[256];
00491         sprintf(buff, "echo %s >> bad.list", filename);
00492         system(buff);
00493         return make_image(10,10,3);
00494         //exit(0);
00495     }
00496     image out = ipl_to_image(src);
00497     cvReleaseImage(&src);
00498     rgbgr_image(out);
00499     return out;
00500 }
00501 
00502 image get_image_from_stream(CvCapture *cap)
00503 {
00504     IplImage* src = cvQueryFrame(cap);
00505     if (!src) return make_empty_image(0,0,0);
00506     image im = ipl_to_image(src);
00507     rgbgr_image(im);
00508     return im;
00509 }
00510 
00511 void save_image_jpg(image p, const char *name)
00512 {
00513     image copy = copy_image(p);
00514     if(p.c == 3) rgbgr_image(copy);
00515     int x,y,k;
00516 
00517     char buff[256];
00518     sprintf(buff, "%s.jpg", name);
00519 
00520     IplImage *disp = cvCreateImage(cvSize(p.w,p.h), IPL_DEPTH_8U, p.c);
00521     int step = disp->widthStep;
00522     for(y = 0; y < p.h; ++y){
00523         for(x = 0; x < p.w; ++x){
00524             for(k= 0; k < p.c; ++k){
00525                 disp->imageData[y*step + x*p.c + k] = (unsigned char)(get_pixel(copy,x,y,k)*255);
00526             }
00527         }
00528     }
00529     cvSaveImage(buff, disp,0);
00530     cvReleaseImage(&disp);
00531     free_image(copy);
00532 }
00533 #endif
00534 
00535 void save_image_png(image im, const char *name)
00536 {
00537     char buff[256];
00538     //sprintf(buff, "%s (%d)", name, windows);
00539     sprintf(buff, "%s.png", name);
00540     unsigned char *data = calloc(im.w*im.h*im.c, sizeof(char));
00541     int i,k;
00542     for(k = 0; k < im.c; ++k){
00543         for(i = 0; i < im.w*im.h; ++i){
00544             data[i*im.c+k] = (unsigned char) (255*im.data[i + k*im.w*im.h]);
00545         }
00546     }
00547     int success = stbi_write_png(buff, im.w, im.h, im.c, data, im.w*im.c);
00548     free(data);
00549     if(!success) fprintf(stderr, "Failed to write image %s\n", buff);
00550 }
00551 
00552 void save_image(image im, const char *name)
00553 {
00554 #ifdef OPENCV
00555     save_image_jpg(im, name);
00556 #else
00557     save_image_png(im, name);
00558 #endif
00559 }
00560 
00561 
00562 void show_image_layers(image p, char *name)
00563 {
00564     int i;
00565     char buff[256];
00566     for(i = 0; i < p.c; ++i){
00567         sprintf(buff, "%s - Layer %d", name, i);
00568         image layer = get_image_layer(p, i);
00569         show_image(layer, buff);
00570         free_image(layer);
00571     }
00572 }
00573 
00574 void show_image_collapsed(image p, char *name)
00575 {
00576     image c = collapse_image_layers(p, 1);
00577     show_image(c, name);
00578     free_image(c);
00579 }
00580 
00581 image make_empty_image(int w, int h, int c)
00582 {
00583     image out;
00584     out.data = 0;
00585     out.h = h;
00586     out.w = w;
00587     out.c = c;
00588     return out;
00589 }
00590 
00591 image make_image(int w, int h, int c)
00592 {
00593     image out = make_empty_image(w,h,c);
00594     out.data = calloc(h*w*c, sizeof(float));
00595     return out;
00596 }
00597 
00598 image make_random_image(int w, int h, int c)
00599 {
00600     image out = make_empty_image(w,h,c);
00601     out.data = calloc(h*w*c, sizeof(float));
00602     int i;
00603     for(i = 0; i < w*h*c; ++i){
00604         out.data[i] = (rand_normal() * .25) + .5;
00605     }
00606     return out;
00607 }
00608 
00609 image float_to_image(int w, int h, int c, float *data)
00610 {
00611     image out = make_empty_image(w,h,c);
00612     out.data = data;
00613     return out;
00614 }
00615 
00616 
00617 image rotate_crop_image(image im, float rad, float s, int w, int h, float dx, float dy, float aspect)
00618 {
00619     int x, y, c;
00620     float cx = im.w/2.;
00621     float cy = im.h/2.;
00622     image rot = make_image(w, h, im.c);
00623     for(c = 0; c < im.c; ++c){
00624         for(y = 0; y < h; ++y){
00625             for(x = 0; x < w; ++x){
00626                 float rx = cos(rad)*((x - w/2.)/s*aspect + dx/s*aspect) - sin(rad)*((y - h/2.)/s + dy/s) + cx;
00627                 float ry = sin(rad)*((x - w/2.)/s*aspect + dx/s*aspect) + cos(rad)*((y - h/2.)/s + dy/s) + cy;
00628                 float val = bilinear_interpolate(im, rx, ry, c);
00629                 set_pixel(rot, x, y, c, val);
00630             }
00631         }
00632     }
00633     return rot;
00634 }
00635 
00636 image rotate_image(image im, float rad)
00637 {
00638     int x, y, c;
00639     float cx = im.w/2.;
00640     float cy = im.h/2.;
00641     image rot = make_image(im.w, im.h, im.c);
00642     for(c = 0; c < im.c; ++c){
00643         for(y = 0; y < im.h; ++y){
00644             for(x = 0; x < im.w; ++x){
00645                 float rx = cos(rad)*(x-cx) - sin(rad)*(y-cy) + cx;
00646                 float ry = sin(rad)*(x-cx) + cos(rad)*(y-cy) + cy;
00647                 float val = bilinear_interpolate(im, rx, ry, c);
00648                 set_pixel(rot, x, y, c, val);
00649             }
00650         }
00651     }
00652     return rot;
00653 }
00654 
00655 void translate_image(image m, float s)
00656 {
00657     int i;
00658     for(i = 0; i < m.h*m.w*m.c; ++i) m.data[i] += s;
00659 }
00660 
00661 void scale_image(image m, float s)
00662 {
00663     int i;
00664     for(i = 0; i < m.h*m.w*m.c; ++i) m.data[i] *= s;
00665 }
00666 
00667 image crop_image(image im, int dx, int dy, int w, int h)
00668 {
00669     image cropped = make_image(w, h, im.c);
00670     int i, j, k;
00671     for(k = 0; k < im.c; ++k){
00672         for(j = 0; j < h; ++j){
00673             for(i = 0; i < w; ++i){
00674                 int r = j + dy;
00675                 int c = i + dx;
00676                 float val = 0;
00677                 r = constrain_int(r, 0, im.h-1);
00678                 c = constrain_int(c, 0, im.w-1);
00679                 if (r >= 0 && r < im.h && c >= 0 && c < im.w) {
00680                     val = get_pixel(im, c, r, k);
00681                 }
00682                 set_pixel(cropped, i, j, k, val);
00683             }
00684         }
00685     }
00686     return cropped;
00687 }
00688 
00689 int best_3d_shift_r(image a, image b, int min, int max)
00690 {
00691     if(min == max) return min;
00692     int mid = floor((min + max) / 2.);
00693     image c1 = crop_image(b, 0, mid, b.w, b.h);
00694     image c2 = crop_image(b, 0, mid+1, b.w, b.h);
00695     float d1 = dist_array(c1.data, a.data, a.w*a.h*a.c, 10);
00696     float d2 = dist_array(c2.data, a.data, a.w*a.h*a.c, 10);
00697     free_image(c1);
00698     free_image(c2);
00699     if(d1 < d2) return best_3d_shift_r(a, b, min, mid);
00700     else return best_3d_shift_r(a, b, mid+1, max);
00701 }
00702 
00703 int best_3d_shift(image a, image b, int min, int max)
00704 {
00705     int i;
00706     int best = 0;
00707     float best_distance = FLT_MAX;
00708     for(i = min; i <= max; i += 2){
00709         image c = crop_image(b, 0, i, b.w, b.h);
00710         float d = dist_array(c.data, a.data, a.w*a.h*a.c, 100);
00711         if(d < best_distance){
00712             best_distance = d;
00713             best = i;
00714         }
00715         printf("%d %f\n", i, d);
00716         free_image(c);
00717     }
00718     return best;
00719 }
00720 
00721 void composite_3d(char *f1, char *f2, char *out, int delta)
00722 {
00723     if(!out) out = "out";
00724     image a = load_image(f1, 0,0,0);
00725     image b = load_image(f2, 0,0,0);
00726     int shift = best_3d_shift_r(a, b, -a.h/100, a.h/100);
00727 
00728     image c1 = crop_image(b, 10, shift, b.w, b.h);
00729     float d1 = dist_array(c1.data, a.data, a.w*a.h*a.c, 100);
00730     image c2 = crop_image(b, -10, shift, b.w, b.h);
00731     float d2 = dist_array(c2.data, a.data, a.w*a.h*a.c, 100);
00732 
00733     if(d2 < d1 && 0){
00734         image swap = a;
00735         a = b;
00736         b = swap;
00737         shift = -shift;
00738         printf("swapped, %d\n", shift);
00739     }
00740     else{
00741         printf("%d\n", shift);
00742     }
00743 
00744     image c = crop_image(b, delta, shift, a.w, a.h);
00745     int i;
00746     for(i = 0; i < c.w*c.h; ++i){
00747         c.data[i] = a.data[i];
00748     }
00749 #ifdef OPENCV
00750     save_image_jpg(c, out);
00751 #else
00752     save_image(c, out);
00753 #endif
00754 }
00755 
00756 image resize_max(image im, int max)
00757 {
00758     int w = im.w;
00759     int h = im.h;
00760     if(w > h){
00761         h = (h * max) / w;
00762         w = max;
00763     } else {
00764         w = (w * max) / h;
00765         h = max;
00766     }
00767     if(w == im.w && h == im.h) return im;
00768     image resized = resize_image(im, w, h);
00769     return resized;
00770 }
00771 
00772 image resize_min(image im, int min)
00773 {
00774     int w = im.w;
00775     int h = im.h;
00776     if(w < h){
00777         h = (h * min) / w;
00778         w = min;
00779     } else {
00780         w = (w * min) / h;
00781         h = min;
00782     }
00783     if(w == im.w && h == im.h) return im;
00784     image resized = resize_image(im, w, h);
00785     return resized;
00786 }
00787 
00788 image random_crop_image(image im, int w, int h)
00789 {
00790     int dx = rand_int(0, im.w - w);
00791     int dy = rand_int(0, im.h - h);
00792     image crop = crop_image(im, dx, dy, w, h);
00793     return crop;
00794 }
00795 
00796 image random_augment_image(image im, float angle, float aspect, int low, int high, int size)
00797 {
00798     aspect = rand_scale(aspect);
00799     int r = rand_int(low, high);
00800     int min = (im.h < im.w*aspect) ? im.h : im.w*aspect;
00801     float scale = (float)r / min;
00802 
00803     float rad = rand_uniform(-angle, angle) * TWO_PI / 360.;
00804 
00805     float dx = (im.w*scale/aspect - size) / 2.;
00806     float dy = (im.h*scale - size) / 2.;
00807     if(dx < 0) dx = 0;
00808     if(dy < 0) dy = 0;
00809     dx = rand_uniform(-dx, dx);
00810     dy = rand_uniform(-dy, dy);
00811 
00812     image crop = rotate_crop_image(im, rad, scale, size, size, dx, dy, aspect);
00813 
00814     return crop;
00815 }
00816 
00817 float three_way_max(float a, float b, float c)
00818 {
00819     return (a > b) ? ( (a > c) ? a : c) : ( (b > c) ? b : c) ;
00820 }
00821 
00822 float three_way_min(float a, float b, float c)
00823 {
00824     return (a < b) ? ( (a < c) ? a : c) : ( (b < c) ? b : c) ;
00825 }
00826 
00827 // http://www.cs.rit.edu/~ncs/color/t_convert.html
00828 void rgb_to_hsv(image im)
00829 {
00830     assert(im.c == 3);
00831     int i, j;
00832     float r, g, b;
00833     float h, s, v;
00834     for(j = 0; j < im.h; ++j){
00835         for(i = 0; i < im.w; ++i){
00836             r = get_pixel(im, i , j, 0);
00837             g = get_pixel(im, i , j, 1);
00838             b = get_pixel(im, i , j, 2);
00839             float max = three_way_max(r,g,b);
00840             float min = three_way_min(r,g,b);
00841             float delta = max - min;
00842             v = max;
00843             if(max == 0){
00844                 s = 0;
00845                 h = 0;
00846             }else{
00847                 s = delta/max;
00848                 if(r == max){
00849                     h = (g - b) / delta;
00850                 } else if (g == max) {
00851                     h = 2 + (b - r) / delta;
00852                 } else {
00853                     h = 4 + (r - g) / delta;
00854                 }
00855                 if (h < 0) h += 6;
00856                 h = h/6.;
00857             }
00858             set_pixel(im, i, j, 0, h);
00859             set_pixel(im, i, j, 1, s);
00860             set_pixel(im, i, j, 2, v);
00861         }
00862     }
00863 }
00864 
00865 void hsv_to_rgb(image im)
00866 {
00867     assert(im.c == 3);
00868     int i, j;
00869     float r, g, b;
00870     float h, s, v;
00871     float f, p, q, t;
00872     for(j = 0; j < im.h; ++j){
00873         for(i = 0; i < im.w; ++i){
00874             h = 6 * get_pixel(im, i , j, 0);
00875             s = get_pixel(im, i , j, 1);
00876             v = get_pixel(im, i , j, 2);
00877             if (s == 0) {
00878                 r = g = b = v;
00879             } else {
00880                 int index = floor(h);
00881                 f = h - index;
00882                 p = v*(1-s);
00883                 q = v*(1-s*f);
00884                 t = v*(1-s*(1-f));
00885                 if(index == 0){
00886                     r = v; g = t; b = p;
00887                 } else if(index == 1){
00888                     r = q; g = v; b = p;
00889                 } else if(index == 2){
00890                     r = p; g = v; b = t;
00891                 } else if(index == 3){
00892                     r = p; g = q; b = v;
00893                 } else if(index == 4){
00894                     r = t; g = p; b = v;
00895                 } else {
00896                     r = v; g = p; b = q;
00897                 }
00898             }
00899             set_pixel(im, i, j, 0, r);
00900             set_pixel(im, i, j, 1, g);
00901             set_pixel(im, i, j, 2, b);
00902         }
00903     }
00904 }
00905 
00906 image grayscale_image(image im)
00907 {
00908     assert(im.c == 3);
00909     int i, j, k;
00910     image gray = make_image(im.w, im.h, 1);
00911     float scale[] = {0.587, 0.299, 0.114};
00912     for(k = 0; k < im.c; ++k){
00913         for(j = 0; j < im.h; ++j){
00914             for(i = 0; i < im.w; ++i){
00915                 gray.data[i+im.w*j] += scale[k]*get_pixel(im, i, j, k);
00916             }
00917         }
00918     }
00919     return gray;
00920 }
00921 
00922 image threshold_image(image im, float thresh)
00923 {
00924     int i;
00925     image t = make_image(im.w, im.h, im.c);
00926     for(i = 0; i < im.w*im.h*im.c; ++i){
00927         t.data[i] = im.data[i]>thresh ? 1 : 0;
00928     }
00929     return t;
00930 }
00931 
00932 image blend_image(image fore, image back, float alpha)
00933 {
00934     assert(fore.w == back.w && fore.h == back.h && fore.c == back.c);
00935     image blend = make_image(fore.w, fore.h, fore.c);
00936     int i, j, k;
00937     for(k = 0; k < fore.c; ++k){
00938         for(j = 0; j < fore.h; ++j){
00939             for(i = 0; i < fore.w; ++i){
00940                 float val = alpha * get_pixel(fore, i, j, k) + 
00941                     (1 - alpha)* get_pixel(back, i, j, k);
00942                 set_pixel(blend, i, j, k, val);
00943             }
00944         }
00945     }
00946     return blend;
00947 }
00948 
00949 void scale_image_channel(image im, int c, float v)
00950 {
00951     int i, j;
00952     for(j = 0; j < im.h; ++j){
00953         for(i = 0; i < im.w; ++i){
00954             float pix = get_pixel(im, i, j, c);
00955             pix = pix*v;
00956             set_pixel(im, i, j, c, pix);
00957         }
00958     }
00959 }
00960 
00961 void translate_image_channel(image im, int c, float v)
00962 {
00963     int i, j;
00964     for(j = 0; j < im.h; ++j){
00965         for(i = 0; i < im.w; ++i){
00966             float pix = get_pixel(im, i, j, c);
00967             pix = pix+v;
00968             set_pixel(im, i, j, c, pix);
00969         }
00970     }
00971 }
00972 
00973 image binarize_image(image im)
00974 {
00975     image c = copy_image(im);
00976     int i;
00977     for(i = 0; i < im.w * im.h * im.c; ++i){
00978         if(c.data[i] > .5) c.data[i] = 1;
00979         else c.data[i] = 0;
00980     }
00981     return c;
00982 }
00983 
00984 void saturate_image(image im, float sat)
00985 {
00986     rgb_to_hsv(im);
00987     scale_image_channel(im, 1, sat);
00988     hsv_to_rgb(im);
00989     constrain_image(im);
00990 }
00991 
00992 void hue_image(image im, float hue)
00993 {
00994     rgb_to_hsv(im);
00995     int i;
00996     for(i = 0; i < im.w*im.h; ++i){
00997         im.data[i] = im.data[i] + hue;
00998         if (im.data[i] > 1) im.data[i] -= 1;
00999         if (im.data[i] < 0) im.data[i] += 1;
01000     }
01001     hsv_to_rgb(im);
01002     constrain_image(im);
01003 }
01004 
01005 void exposure_image(image im, float sat)
01006 {
01007     rgb_to_hsv(im);
01008     scale_image_channel(im, 2, sat);
01009     hsv_to_rgb(im);
01010     constrain_image(im);
01011 }
01012 
01013 void distort_image(image im, float hue, float sat, float val)
01014 {
01015     rgb_to_hsv(im);
01016     scale_image_channel(im, 1, sat);
01017     scale_image_channel(im, 2, val);
01018     int i;
01019     for(i = 0; i < im.w*im.h; ++i){
01020         im.data[i] = im.data[i] + hue;
01021         if (im.data[i] > 1) im.data[i] -= 1;
01022         if (im.data[i] < 0) im.data[i] += 1;
01023     }
01024     hsv_to_rgb(im);
01025     constrain_image(im);
01026 }
01027 
01028 void random_distort_image(image im, float hue, float saturation, float exposure)
01029 {
01030     float dhue = rand_uniform(-hue, hue);
01031     float dsat = rand_scale(saturation);
01032     float dexp = rand_scale(exposure);
01033     distort_image(im, dhue, dsat, dexp);
01034 }
01035 
01036 void saturate_exposure_image(image im, float sat, float exposure)
01037 {
01038     rgb_to_hsv(im);
01039     scale_image_channel(im, 1, sat);
01040     scale_image_channel(im, 2, exposure);
01041     hsv_to_rgb(im);
01042     constrain_image(im);
01043 }
01044 
01045 float bilinear_interpolate(image im, float x, float y, int c)
01046 {
01047     int ix = (int) floorf(x);
01048     int iy = (int) floorf(y);
01049 
01050     float dx = x - ix;
01051     float dy = y - iy;
01052 
01053     float val = (1-dy) * (1-dx) * get_pixel_extend(im, ix, iy, c) + 
01054         dy     * (1-dx) * get_pixel_extend(im, ix, iy+1, c) + 
01055         (1-dy) *   dx   * get_pixel_extend(im, ix+1, iy, c) +
01056         dy     *   dx   * get_pixel_extend(im, ix+1, iy+1, c);
01057     return val;
01058 }
01059 
01060 image resize_image(image im, int w, int h)
01061 {
01062     image resized = make_image(w, h, im.c);   
01063     image part = make_image(w, im.h, im.c);
01064     int r, c, k;
01065     float w_scale = (float)(im.w - 1) / (w - 1);
01066     float h_scale = (float)(im.h - 1) / (h - 1);
01067     for(k = 0; k < im.c; ++k){
01068         for(r = 0; r < im.h; ++r){
01069             for(c = 0; c < w; ++c){
01070                 float val = 0;
01071                 if(c == w-1 || im.w == 1){
01072                     val = get_pixel(im, im.w-1, r, k);
01073                 } else {
01074                     float sx = c*w_scale;
01075                     int ix = (int) sx;
01076                     float dx = sx - ix;
01077                     val = (1 - dx) * get_pixel(im, ix, r, k) + dx * get_pixel(im, ix+1, r, k);
01078                 }
01079                 set_pixel(part, c, r, k, val);
01080             }
01081         }
01082     }
01083     for(k = 0; k < im.c; ++k){
01084         for(r = 0; r < h; ++r){
01085             float sy = r*h_scale;
01086             int iy = (int) sy;
01087             float dy = sy - iy;
01088             for(c = 0; c < w; ++c){
01089                 float val = (1-dy) * get_pixel(part, c, iy, k);
01090                 set_pixel(resized, c, r, k, val);
01091             }
01092             if(r == h-1 || im.h == 1) continue;
01093             for(c = 0; c < w; ++c){
01094                 float val = dy * get_pixel(part, c, iy+1, k);
01095                 add_pixel(resized, c, r, k, val);
01096             }
01097         }
01098     }
01099 
01100     free_image(part);
01101     return resized;
01102 }
01103 
01104 
01105 void test_resize(char *filename)
01106 {
01107     image im = load_image(filename, 0,0, 3);
01108     float mag = mag_array(im.data, im.w*im.h*im.c);
01109     printf("L2 Norm: %f\n", mag);
01110     image gray = grayscale_image(im);
01111 
01112     image c1 = copy_image(im);
01113     image c2 = copy_image(im);
01114     image c3 = copy_image(im);
01115     image c4 = copy_image(im);
01116     distort_image(c1, .1, 1.5, 1.5);
01117     distort_image(c2, -.1, .66666, .66666);
01118     distort_image(c3, .1, 1.5, .66666);
01119     distort_image(c4, .1, .66666, 1.5);
01120 
01121 
01122     show_image(im,   "Original");
01123     show_image(gray, "Gray");
01124     show_image(c1, "C1");
01125     show_image(c2, "C2");
01126     show_image(c3, "C3");
01127     show_image(c4, "C4");
01128 #ifdef OPENCV
01129     while(1){
01130         image aug = random_augment_image(im, 0, .75, 320, 448, 320);
01131         show_image(aug, "aug");
01132         free_image(aug);
01133 
01134 
01135         float exposure = 1.15;
01136         float saturation = 1.15;
01137         float hue = .05;
01138 
01139         image c = copy_image(im);
01140 
01141         float dexp = rand_scale(exposure);
01142         float dsat = rand_scale(saturation);
01143         float dhue = rand_uniform(-hue, hue);
01144 
01145         distort_image(c, dhue, dsat, dexp);
01146         show_image(c, "rand");
01147         printf("%f %f %f\n", dhue, dsat, dexp);
01148         free_image(c);
01149         cvWaitKey(0);
01150     }
01151 #endif
01152 }
01153 
01154 
01155 image load_image_stb(char *filename, int channels)
01156 {
01157     int w, h, c;
01158     unsigned char *data = stbi_load(filename, &w, &h, &c, channels);
01159     if (!data) {
01160         fprintf(stderr, "Cannot load image \"%s\"\nSTB Reason: %s\n", filename, stbi_failure_reason());
01161         exit(0);
01162     }
01163     if(channels) c = channels;
01164     int i,j,k;
01165     image im = make_image(w, h, c);
01166     for(k = 0; k < c; ++k){
01167         for(j = 0; j < h; ++j){
01168             for(i = 0; i < w; ++i){
01169                 int dst_index = i + w*j + w*h*k;
01170                 int src_index = k + c*i + c*w*j;
01171                 im.data[dst_index] = (float)data[src_index]/255.;
01172             }
01173         }
01174     }
01175     free(data);
01176     return im;
01177 }
01178 
01179 image load_image(char *filename, int w, int h, int c)
01180 {
01181 #ifdef OPENCV
01182     image out = load_image_cv(filename, c);
01183 #else
01184     image out = load_image_stb(filename, c);
01185 #endif
01186 
01187     if((h && w) && (h != out.h || w != out.w)){
01188         image resized = resize_image(out, w, h);
01189         free_image(out);
01190         out = resized;
01191     }
01192     return out;
01193 }
01194 
01195 image load_image_color(char *filename, int w, int h)
01196 {
01197     return load_image(filename, w, h, 3);
01198 }
01199 
01200 image get_image_layer(image m, int l)
01201 {
01202     image out = make_image(m.w, m.h, 1);
01203     int i;
01204     for(i = 0; i < m.h*m.w; ++i){
01205         out.data[i] = m.data[i+l*m.h*m.w];
01206     }
01207     return out;
01208 }
01209 
01210 float get_pixel(image m, int x, int y, int c)
01211 {
01212     assert(x < m.w && y < m.h && c < m.c);
01213     return m.data[c*m.h*m.w + y*m.w + x];
01214 }
01215 float get_pixel_extend(image m, int x, int y, int c)
01216 {
01217     if(x < 0) x = 0;
01218     if(x >= m.w) x = m.w-1;
01219     if(y < 0) y = 0;
01220     if(y >= m.h) y = m.h-1;
01221     if(c < 0 || c >= m.c) return 0;
01222     return get_pixel(m, x, y, c);
01223 }
01224 void set_pixel(image m, int x, int y, int c, float val)
01225 {
01226     if (x < 0 || y < 0 || c < 0 || x >= m.w || y >= m.h || c >= m.c) return;
01227     assert(x < m.w && y < m.h && c < m.c);
01228     m.data[c*m.h*m.w + y*m.w + x] = val;
01229 }
01230 void add_pixel(image m, int x, int y, int c, float val)
01231 {
01232     assert(x < m.w && y < m.h && c < m.c);
01233     m.data[c*m.h*m.w + y*m.w + x] += val;
01234 }
01235 
01236 void print_image(image m)
01237 {
01238     int i, j, k;
01239     for(i =0 ; i < m.c; ++i){
01240         for(j =0 ; j < m.h; ++j){
01241             for(k = 0; k < m.w; ++k){
01242                 printf("%.2lf, ", m.data[i*m.h*m.w + j*m.w + k]);
01243                 if(k > 30) break;
01244             }
01245             printf("\n");
01246             if(j > 30) break;
01247         }
01248         printf("\n");
01249     }
01250     printf("\n");
01251 }
01252 
01253 image collapse_images_vert(image *ims, int n)
01254 {
01255     int color = 1;
01256     int border = 1;
01257     int h,w,c;
01258     w = ims[0].w;
01259     h = (ims[0].h + border) * n - border;
01260     c = ims[0].c;
01261     if(c != 3 || !color){
01262         w = (w+border)*c - border;
01263         c = 1;
01264     }
01265 
01266     image filters = make_image(w, h, c);
01267     int i,j;
01268     for(i = 0; i < n; ++i){
01269         int h_offset = i*(ims[0].h+border);
01270         image copy = copy_image(ims[i]);
01271         //normalize_image(copy);
01272         if(c == 3 && color){
01273             embed_image(copy, filters, 0, h_offset);
01274         }
01275         else{
01276             for(j = 0; j < copy.c; ++j){
01277                 int w_offset = j*(ims[0].w+border);
01278                 image layer = get_image_layer(copy, j);
01279                 embed_image(layer, filters, w_offset, h_offset);
01280                 free_image(layer);
01281             }
01282         }
01283         free_image(copy);
01284     }
01285     return filters;
01286 } 
01287 
01288 image collapse_images_horz(image *ims, int n)
01289 {
01290     int color = 1;
01291     int border = 1;
01292     int h,w,c;
01293     int size = ims[0].h;
01294     h = size;
01295     w = (ims[0].w + border) * n - border;
01296     c = ims[0].c;
01297     if(c != 3 || !color){
01298         h = (h+border)*c - border;
01299         c = 1;
01300     }
01301 
01302     image filters = make_image(w, h, c);
01303     int i,j;
01304     for(i = 0; i < n; ++i){
01305         int w_offset = i*(size+border);
01306         image copy = copy_image(ims[i]);
01307         //normalize_image(copy);
01308         if(c == 3 && color){
01309             embed_image(copy, filters, w_offset, 0);
01310         }
01311         else{
01312             for(j = 0; j < copy.c; ++j){
01313                 int h_offset = j*(size+border);
01314                 image layer = get_image_layer(copy, j);
01315                 embed_image(layer, filters, w_offset, h_offset);
01316                 free_image(layer);
01317             }
01318         }
01319         free_image(copy);
01320     }
01321     return filters;
01322 } 
01323 
01324 void show_image_normalized(image im, const char *name)
01325 {
01326     image c = copy_image(im);
01327     normalize_image(c);
01328     show_image(c, name);
01329     free_image(c);
01330 }
01331 
01332 void show_images(image *ims, int n, char *window)
01333 {
01334     image m = collapse_images_vert(ims, n);
01335     /*
01336        int w = 448;
01337        int h = ((float)m.h/m.w) * 448;
01338        if(h > 896){
01339        h = 896;
01340        w = ((float)m.w/m.h) * 896;
01341        }
01342        image sized = resize_image(m, w, h);
01343      */
01344     normalize_image(m);
01345     save_image(m, window);
01346     show_image(m, window);
01347     free_image(m);
01348 }
01349 
01350 void free_image(image m)
01351 {
01352     if(m.data){
01353         free(m.data);
01354     }
01355 }


rail_object_detector
Author(s):
autogenerated on Sat Jun 8 2019 20:26:30