From eadf8170a676cedc6ab4f1928567a1ed3cbee050 Mon Sep 17 00:00:00 2001
From: Scheaven <xuepengqiang>
Date: 星期二, 06 七月 2021 10:15:06 +0800
Subject: [PATCH] up cuda
---
lib/detecter_tools/darknet/image.c | 3389 +++++++++++++++++++++++++++++-----------------------------
1 files changed, 1,706 insertions(+), 1,683 deletions(-)
diff --git a/lib/detecter_tools/darknet/image.c b/lib/detecter_tools/darknet/image.c
index 360f551..07942c7 100644
--- a/lib/detecter_tools/darknet/image.c
+++ b/lib/detecter_tools/darknet/image.c
@@ -1,1683 +1,1706 @@
-#ifndef _GNU_SOURCE
-#define _GNU_SOURCE
-#endif
-#include "image.h"
-#include "utils.h"
-#include "blas.h"
-#include "dark_cuda.h"
-#include <stdio.h>
-#ifndef _USE_MATH_DEFINES
-#define _USE_MATH_DEFINES
-#endif
-#include <math.h>
-
-#ifndef STB_IMAGE_IMPLEMENTATION
-#define STB_IMAGE_IMPLEMENTATION
-#include "stb_image.h"
-#endif
-#ifndef STB_IMAGE_WRITE_IMPLEMENTATION
-#define STB_IMAGE_WRITE_IMPLEMENTATION
-#include "stb_image_write.h"
-#endif
-
-extern int check_mistakes;
-//int windows = 0;
-
-float colors[6][3] = { {1,0,1}, {0,0,1},{0,1,1},{0,1,0},{1,1,0},{1,0,0} };
-
-float get_color(int c, int x, int max)
-{
- float ratio = ((float)x/max)*5;
- int i = floor(ratio);
- int j = ceil(ratio);
- ratio -= i;
- float r = (1-ratio) * colors[i][c] + ratio*colors[j][c];
- //printf("%f\n", r);
- return r;
-}
-
-static float get_pixel(image m, int x, int y, int c)
-{
- assert(x < m.w && y < m.h && c < m.c);
- return m.data[c*m.h*m.w + y*m.w + x];
-}
-static float get_pixel_extend(image m, int x, int y, int c)
-{
- if (x < 0 || x >= m.w || y < 0 || y >= m.h) return 0;
- /*
- if(x < 0) x = 0;
- if(x >= m.w) x = m.w-1;
- if(y < 0) y = 0;
- if(y >= m.h) y = m.h-1;
- */
- if (c < 0 || c >= m.c) return 0;
- return get_pixel(m, x, y, c);
-}
-static void set_pixel(image m, int x, int y, int c, float val)
-{
- if (x < 0 || y < 0 || c < 0 || x >= m.w || y >= m.h || c >= m.c) return;
- assert(x < m.w && y < m.h && c < m.c);
- m.data[c*m.h*m.w + y*m.w + x] = val;
-}
-static void add_pixel(image m, int x, int y, int c, float val)
-{
- assert(x < m.w && y < m.h && c < m.c);
- m.data[c*m.h*m.w + y*m.w + x] += val;
-}
-
-void composite_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);
- float val2 = get_pixel_extend(dest, dx+x, dy+y, k);
- set_pixel(dest, dx+x, dy+y, k, val * val2);
- }
- }
- }
-}
-
-image border_image(image a, int border)
-{
- image b = make_image(a.w + 2*border, a.h + 2*border, a.c);
- int x,y,k;
- for(k = 0; k < b.c; ++k){
- for(y = 0; y < b.h; ++y){
- for(x = 0; x < b.w; ++x){
- float val = get_pixel_extend(a, x - border, y - border, k);
- if(x - border < 0 || x - border >= a.w || y - border < 0 || y - border >= a.h) val = 1;
- set_pixel(b, x, y, k, val);
- }
- }
- }
- return b;
-}
-
-image tile_images(image a, image b, int dx)
-{
- if(a.w == 0) return copy_image(b);
- 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);
- fill_cpu(c.w*c.h*c.c, 1, c.data, 1);
- embed_image(a, c, 0, 0);
- composite_image(b, c, a.w + dx, 0);
- return c;
-}
-
-image get_label(image **characters, char *string, int size)
-{
- if(size > 7) size = 7;
- image label = make_empty_image(0,0,0);
- while(*string){
- image l = characters[size][(int)*string];
- image n = tile_images(label, l, -size - 1 + (size+1)/2);
- free_image(label);
- label = n;
- ++string;
- }
- image b = border_image(label, label.h*.25);
- free_image(label);
- return b;
-}
-
-image get_label_v3(image **characters, char *string, int size)
-{
- size = size / 10;
- if (size > 7) size = 7;
- image label = make_empty_image(0, 0, 0);
- while (*string) {
- image l = characters[size][(int)*string];
- image n = tile_images(label, l, -size - 1 + (size + 1) / 2);
- free_image(label);
- label = n;
- ++string;
- }
- image b = border_image(label, label.h*.05);
- free_image(label);
- return b;
-}
-
-void draw_label(image a, int r, int c, image label, const float *rgb)
-{
- int w = label.w;
- int h = label.h;
- if (r - h >= 0) r = r - h;
-
- int i, j, k;
- for(j = 0; j < h && j + r < a.h; ++j){
- for(i = 0; i < w && i + c < a.w; ++i){
- for(k = 0; k < label.c; ++k){
- float val = get_pixel(label, i, j, k);
- set_pixel(a, i+c, j+r, k, rgb[k] * val);
- }
- }
- }
-}
-
-void draw_box_bw(image a, int x1, int y1, int x2, int y2, float brightness)
-{
- //normalize_image(a);
- int i;
- if (x1 < 0) x1 = 0;
- if (x1 >= a.w) x1 = a.w - 1;
- if (x2 < 0) x2 = 0;
- if (x2 >= a.w) x2 = a.w - 1;
-
- if (y1 < 0) y1 = 0;
- if (y1 >= a.h) y1 = a.h - 1;
- if (y2 < 0) y2 = 0;
- if (y2 >= a.h) y2 = a.h - 1;
-
- for (i = x1; i <= x2; ++i) {
- a.data[i + y1*a.w + 0 * a.w*a.h] = brightness;
- a.data[i + y2*a.w + 0 * a.w*a.h] = brightness;
- }
- for (i = y1; i <= y2; ++i) {
- a.data[x1 + i*a.w + 0 * a.w*a.h] = brightness;
- a.data[x2 + i*a.w + 0 * a.w*a.h] = brightness;
- }
-}
-
-void draw_box_width_bw(image a, int x1, int y1, int x2, int y2, int w, float brightness)
-{
- int i;
- for (i = 0; i < w; ++i) {
- float alternate_color = (w % 2) ? (brightness) : (1.0 - brightness);
- draw_box_bw(a, x1 + i, y1 + i, x2 - i, y2 - i, alternate_color);
- }
-}
-
-void draw_box(image a, int x1, int y1, int x2, int y2, float r, float g, float b)
-{
- //normalize_image(a);
- int i;
- if(x1 < 0) x1 = 0;
- if(x1 >= a.w) x1 = a.w-1;
- if(x2 < 0) x2 = 0;
- if(x2 >= a.w) x2 = a.w-1;
-
- if(y1 < 0) y1 = 0;
- if(y1 >= a.h) y1 = a.h-1;
- if(y2 < 0) y2 = 0;
- if(y2 >= a.h) y2 = a.h-1;
-
- for(i = x1; i <= x2; ++i){
- a.data[i + y1*a.w + 0*a.w*a.h] = r;
- a.data[i + y2*a.w + 0*a.w*a.h] = r;
-
- a.data[i + y1*a.w + 1*a.w*a.h] = g;
- a.data[i + y2*a.w + 1*a.w*a.h] = g;
-
- a.data[i + y1*a.w + 2*a.w*a.h] = b;
- a.data[i + y2*a.w + 2*a.w*a.h] = b;
- }
- for(i = y1; i <= y2; ++i){
- a.data[x1 + i*a.w + 0*a.w*a.h] = r;
- a.data[x2 + i*a.w + 0*a.w*a.h] = r;
-
- a.data[x1 + i*a.w + 1*a.w*a.h] = g;
- a.data[x2 + i*a.w + 1*a.w*a.h] = g;
-
- a.data[x1 + i*a.w + 2*a.w*a.h] = b;
- a.data[x2 + i*a.w + 2*a.w*a.h] = b;
- }
-}
-
-void draw_box_width(image a, int x1, int y1, int x2, int y2, int w, float r, float g, float b)
-{
- int i;
- for(i = 0; i < w; ++i){
- draw_box(a, x1+i, y1+i, x2-i, y2-i, r, g, b);
- }
-}
-
-void draw_bbox(image a, box bbox, int w, float r, float g, float b)
-{
- int left = (bbox.x-bbox.w/2)*a.w;
- int right = (bbox.x+bbox.w/2)*a.w;
- int top = (bbox.y-bbox.h/2)*a.h;
- int bot = (bbox.y+bbox.h/2)*a.h;
-
- int i;
- for(i = 0; i < w; ++i){
- draw_box(a, left+i, top+i, right-i, bot-i, r, g, b);
- }
-}
-
-image **load_alphabet()
-{
- int i, j;
- const int nsize = 8;
- image** alphabets = (image**)xcalloc(nsize, sizeof(image*));
- for(j = 0; j < nsize; ++j){
- alphabets[j] = (image*)xcalloc(128, sizeof(image));
- for(i = 32; i < 127; ++i){
- char buff[256];
- sprintf(buff, "data/labels/%d_%d.png", i, j);
- alphabets[j][i] = load_image_color(buff, 0, 0);
- }
- }
- return alphabets;
-}
-
-
-
-// Creates array of detections with prob > thresh and fills best_class for them
-detection_with_class* get_actual_detections(detection *dets, int dets_num, float thresh, int* selected_detections_num, char **names)
-{
- int selected_num = 0;
- detection_with_class* result_arr = (detection_with_class*)xcalloc(dets_num, sizeof(detection_with_class));
- int i;
- for (i = 0; i < dets_num; ++i) {
- int best_class = -1;
- float best_class_prob = thresh;
- int j;
- for (j = 0; j < dets[i].classes; ++j) {
- int show = strncmp(names[j], "dont_show", 9);
- if (dets[i].prob[j] > best_class_prob && show) {
- best_class = j;
- best_class_prob = dets[i].prob[j];
- }
- }
- if (best_class >= 0) {
- result_arr[selected_num].det = dets[i];
- result_arr[selected_num].best_class = best_class;
- ++selected_num;
- }
- }
- if (selected_detections_num)
- *selected_detections_num = selected_num;
- return result_arr;
-}
-
-// compare to sort detection** by bbox.x
-int compare_by_lefts(const void *a_ptr, const void *b_ptr) {
- const detection_with_class* a = (detection_with_class*)a_ptr;
- const detection_with_class* b = (detection_with_class*)b_ptr;
- const float delta = (a->det.bbox.x - a->det.bbox.w/2) - (b->det.bbox.x - b->det.bbox.w/2);
- return delta < 0 ? -1 : delta > 0 ? 1 : 0;
-}
-
-// compare to sort detection** by best_class probability
-int compare_by_probs(const void *a_ptr, const void *b_ptr) {
- const detection_with_class* a = (detection_with_class*)a_ptr;
- const detection_with_class* b = (detection_with_class*)b_ptr;
- float delta = a->det.prob[a->best_class] - b->det.prob[b->best_class];
- return delta < 0 ? -1 : delta > 0 ? 1 : 0;
-}
-
-void draw_detections_v3(image im, detection *dets, int num, float thresh, char **names, image **alphabet, int classes, int ext_output)
-{
- static int frame_id = 0;
- frame_id++;
-
- int selected_detections_num;
- detection_with_class* selected_detections = get_actual_detections(dets, num, thresh, &selected_detections_num, names);
-
- // text output
- qsort(selected_detections, selected_detections_num, sizeof(*selected_detections), compare_by_lefts);
- int i;
- for (i = 0; i < selected_detections_num; ++i) {
- const int best_class = selected_detections[i].best_class;
- printf("%s: %.0f%%", names[best_class], selected_detections[i].det.prob[best_class] * 100);
- if (ext_output)
- printf("\t(left_x: %4.0f top_y: %4.0f width: %4.0f height: %4.0f)\n",
- round((selected_detections[i].det.bbox.x - selected_detections[i].det.bbox.w / 2)*im.w),
- round((selected_detections[i].det.bbox.y - selected_detections[i].det.bbox.h / 2)*im.h),
- round(selected_detections[i].det.bbox.w*im.w), round(selected_detections[i].det.bbox.h*im.h));
- else
- printf("\n");
- int j;
- for (j = 0; j < classes; ++j) {
- if (selected_detections[i].det.prob[j] > thresh && j != best_class) {
- printf("%s: %.0f%%", names[j], selected_detections[i].det.prob[j] * 100);
-
- if (ext_output)
- printf("\t(left_x: %4.0f top_y: %4.0f width: %4.0f height: %4.0f)\n",
- round((selected_detections[i].det.bbox.x - selected_detections[i].det.bbox.w / 2)*im.w),
- round((selected_detections[i].det.bbox.y - selected_detections[i].det.bbox.h / 2)*im.h),
- round(selected_detections[i].det.bbox.w*im.w), round(selected_detections[i].det.bbox.h*im.h));
- else
- printf("\n");
- }
- }
- }
-
- // image output
- qsort(selected_detections, selected_detections_num, sizeof(*selected_detections), compare_by_probs);
- for (i = 0; i < selected_detections_num; ++i) {
- int width = im.h * .002;
- if (width < 1)
- width = 1;
-
- /*
- if(0){
- width = pow(prob, 1./2.)*10+1;
- alphabet = 0;
- }
- */
-
- //printf("%d %s: %.0f%%\n", i, names[selected_detections[i].best_class], prob*100);
- int offset = selected_detections[i].best_class * 123457 % classes;
- float red = get_color(2, offset, classes);
- float green = get_color(1, offset, classes);
- float blue = get_color(0, offset, classes);
- float rgb[3];
-
- //width = prob*20+2;
-
- rgb[0] = red;
- rgb[1] = green;
- rgb[2] = blue;
- box b = selected_detections[i].det.bbox;
- //printf("%f %f %f %f\n", b.x, b.y, b.w, b.h);
-
- int left = (b.x - b.w / 2.)*im.w;
- int right = (b.x + b.w / 2.)*im.w;
- int top = (b.y - b.h / 2.)*im.h;
- int bot = (b.y + b.h / 2.)*im.h;
-
- if (left < 0) left = 0;
- if (right > im.w - 1) right = im.w - 1;
- if (top < 0) top = 0;
- if (bot > im.h - 1) bot = im.h - 1;
-
- //int b_x_center = (left + right) / 2;
- //int b_y_center = (top + bot) / 2;
- //int b_width = right - left;
- //int b_height = bot - top;
- //sprintf(labelstr, "%d x %d - w: %d, h: %d", b_x_center, b_y_center, b_width, b_height);
-
- // you should create directory: result_img
- //static int copied_frame_id = -1;
- //static image copy_img;
- //if (copied_frame_id != frame_id) {
- // copied_frame_id = frame_id;
- // if (copy_img.data) free_image(copy_img);
- // copy_img = copy_image(im);
- //}
- //image cropped_im = crop_image(copy_img, left, top, right - left, bot - top);
- //static int img_id = 0;
- //img_id++;
- //char image_name[1024];
- //int best_class_id = selected_detections[i].best_class;
- //sprintf(image_name, "result_img/img_%d_%d_%d_%s.jpg", frame_id, img_id, best_class_id, names[best_class_id]);
- //save_image(cropped_im, image_name);
- //free_image(cropped_im);
-
- if (im.c == 1) {
- draw_box_width_bw(im, left, top, right, bot, width, 0.8); // 1 channel Black-White
- }
- else {
- draw_box_width(im, left, top, right, bot, width, red, green, blue); // 3 channels RGB
- }
- if (alphabet) {
- char labelstr[4096] = { 0 };
- strcat(labelstr, names[selected_detections[i].best_class]);
- int j;
- for (j = 0; j < classes; ++j) {
- if (selected_detections[i].det.prob[j] > thresh && j != selected_detections[i].best_class) {
- strcat(labelstr, ", ");
- strcat(labelstr, names[j]);
- }
- }
- image label = get_label_v3(alphabet, labelstr, (im.h*.02));
- draw_label(im, top + width, left, label, rgb);
- free_image(label);
- }
- if (selected_detections[i].det.mask) {
- image mask = float_to_image(14, 14, 1, selected_detections[i].det.mask);
- image resized_mask = resize_image(mask, b.w*im.w, b.h*im.h);
- image tmask = threshold_image(resized_mask, .5);
- embed_image(tmask, im, left, top);
- free_image(mask);
- free_image(resized_mask);
- free_image(tmask);
- }
- }
- free(selected_detections);
-}
-
-void draw_detections(image im, int num, float thresh, box *boxes, float **probs, char **names, image **alphabet, int classes)
-{
- int i;
-
- for(i = 0; i < num; ++i){
- int class_id = max_index(probs[i], classes);
- float prob = probs[i][class_id];
- if(prob > thresh){
-
- //// for comparison with OpenCV version of DNN Darknet Yolo v2
- //printf("\n %f, %f, %f, %f, ", boxes[i].x, boxes[i].y, boxes[i].w, boxes[i].h);
- // int k;
- //for (k = 0; k < classes; ++k) {
- // printf("%f, ", probs[i][k]);
- //}
- //printf("\n");
-
- int width = im.h * .012;
-
- if(0){
- width = pow(prob, 1./2.)*10+1;
- alphabet = 0;
- }
-
- int offset = class_id*123457 % classes;
- float red = get_color(2,offset,classes);
- float green = get_color(1,offset,classes);
- float blue = get_color(0,offset,classes);
- float rgb[3];
-
- //width = prob*20+2;
-
- rgb[0] = red;
- rgb[1] = green;
- rgb[2] = blue;
- box b = boxes[i];
-
- int left = (b.x-b.w/2.)*im.w;
- int right = (b.x+b.w/2.)*im.w;
- int top = (b.y-b.h/2.)*im.h;
- int bot = (b.y+b.h/2.)*im.h;
-
- if(left < 0) left = 0;
- if(right > im.w-1) right = im.w-1;
- if(top < 0) top = 0;
- if(bot > im.h-1) bot = im.h-1;
- printf("%s: %.0f%%", names[class_id], prob * 100);
-
- //printf(" - id: %d, x_center: %d, y_center: %d, width: %d, height: %d",
- // class_id, (right + left) / 2, (bot - top) / 2, right - left, bot - top);
-
- printf("\n");
- draw_box_width(im, left, top, right, bot, width, red, green, blue);
- if (alphabet) {
- image label = get_label(alphabet, names[class_id], (im.h*.03)/10);
- draw_label(im, top + width, left, label, rgb);
- }
- }
- }
-}
-
-void transpose_image(image im)
-{
- assert(im.w == im.h);
- int n, m;
- int c;
- for(c = 0; c < im.c; ++c){
- for(n = 0; n < im.w-1; ++n){
- for(m = n + 1; m < im.w; ++m){
- float swap = im.data[m + im.w*(n + im.h*c)];
- im.data[m + im.w*(n + im.h*c)] = im.data[n + im.w*(m + im.h*c)];
- im.data[n + im.w*(m + im.h*c)] = swap;
- }
- }
- }
-}
-
-void rotate_image_cw(image im, int times)
-{
- assert(im.w == im.h);
- times = (times + 400) % 4;
- int i, x, y, c;
- int n = im.w;
- for(i = 0; i < times; ++i){
- for(c = 0; c < im.c; ++c){
- for(x = 0; x < n/2; ++x){
- for(y = 0; y < (n-1)/2 + 1; ++y){
- float temp = im.data[y + im.w*(x + im.h*c)];
- im.data[y + im.w*(x + im.h*c)] = im.data[n-1-x + im.w*(y + im.h*c)];
- im.data[n-1-x + im.w*(y + im.h*c)] = im.data[n-1-y + im.w*(n-1-x + im.h*c)];
- im.data[n-1-y + im.w*(n-1-x + im.h*c)] = im.data[x + im.w*(n-1-y + im.h*c)];
- im.data[x + im.w*(n-1-y + im.h*c)] = temp;
- }
- }
- }
- }
-}
-
-void flip_image(image a)
-{
- int i,j,k;
- for(k = 0; k < a.c; ++k){
- for(i = 0; i < a.h; ++i){
- for(j = 0; j < a.w/2; ++j){
- int index = j + a.w*(i + a.h*(k));
- int flip = (a.w - j - 1) + a.w*(i + a.h*(k));
- 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 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 = (float*)xcalloc(p.c, sizeof(float));
- float* max = (float*)xcalloc(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_inplace(image src, image dst)
-{
- memcpy(dst.data, src.data, src.h*src.w*src.c * sizeof(float));
-}
-
-image copy_image(image p)
-{
- image copy = p;
- copy.data = (float*)xcalloc(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;
- }
-}
-
-void show_image(image p, const char *name)
-{
-#ifdef OPENCV
- show_image_cv(p, name);
-#else
- fprintf(stderr, "Not compiled with OpenCV, saving to %s.png instead\n", name);
- save_image(p, name);
-#endif // OPENCV
-}
-
-void save_image_png(image im, const char *name)
-{
- char buff[256];
- //sprintf(buff, "%s (%d)", name, windows);
- sprintf(buff, "%s.png", name);
- unsigned char* data = (unsigned char*)xcalloc(im.w * im.h * im.c, sizeof(unsigned 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 = stbi_write_png(buff, im.w, im.h, im.c, data, im.w*im.c);
- free(data);
- if(!success) fprintf(stderr, "Failed to write image %s\n", buff);
-}
-
-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 = (unsigned char*)xcalloc(im.w * im.h * im.c, sizeof(unsigned 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 save_image_jpg(image p, const char *name)
-{
- save_image_options(p, 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);
- free_image(layer);
- }
-}
-
-void show_image_collapsed(image p, char *name)
-{
- image c = collapse_image_layers(p, 1);
- show_image(c, name);
- 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 = (float*)xcalloc(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 = (float*)xcalloc(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_scaled(int w, int h, int c, float *data)
-{
- image out = make_image(w, h, c);
- int abs_max = 0;
- int i = 0;
- for (i = 0; i < w*h*c; ++i) {
- if (fabs(data[i]) > abs_max) abs_max = fabs(data[i]);
- }
- for (i = 0; i < w*h*c; ++i) {
- out.data[i] = data[i] / abs_max;
- }
- 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;
-}
-
-
-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 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);
- if (r >= 0 && r < im.h && c >= 0 && c < im.w) {
- 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];
- }
-#ifdef OPENCV
- save_image_jpg(c, out);
-#else
- save_image(c, out);
-#endif
-}
-
-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 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;
-}
-
-image random_augment_image(image im, float angle, float aspect, int low, int high, int size)
-{
- 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) * 2.0 * M_PI / 360.;
-
- float dx = (im.w*scale/aspect - size) / 2.;
- float dy = (im.h*scale - size) / 2.;
- if(dx < 0) dx = 0;
- if(dy < 0) dy = 0;
- dx = rand_uniform(-dx, dx);
- dy = rand_uniform(-dy, dy);
-
- image crop = rotate_crop_image(im, rad, scale, size, size, dx, dy, 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) ;
-}
-
-// 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);
- }
- }
-}
-
-image grayscale_image(image im)
-{
- assert(im.c == 3);
- int i, j, k;
- image gray = make_image(im.w, im.h, 1);
- float scale[] = {0.587, 0.299, 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)
-{
- if (im.c >= 3)
- {
- 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);
- }
- else
- {
- scale_image_channel(im, 0, val);
- }
- constrain_image(im);
-}
-
-void random_distort_image(image im, float hue, float saturation, float exposure)
-{
- float dhue = rand_uniform_strong(-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);
-}
-
-float bilinear_interpolate(image im, float x, float y, int c)
-{
- int ix = (int) floorf(x);
- int iy = (int) floorf(y);
-
- float dx = x - ix;
- float dy = y - iy;
-
- float val = (1-dy) * (1-dx) * get_pixel_extend(im, ix, iy, c) +
- dy * (1-dx) * get_pixel_extend(im, ix, iy+1, c) +
- (1-dy) * dx * get_pixel_extend(im, ix+1, iy, c) +
- dy * dx * get_pixel_extend(im, ix+1, iy+1, c);
- return val;
-}
-
-void quantize_image(image im)
-{
- int size = im.c * im.w * im.h;
- int i;
- for (i = 0; i < size; ++i) im.data[i] = (int)(im.data[i] * 255) / 255. + (0.5/255);
-}
-
-void make_image_red(image im)
-{
- int r, c, k;
- for (r = 0; r < im.h; ++r) {
- for (c = 0; c < im.w; ++c) {
- float val = 0;
- for (k = 0; k < im.c; ++k) {
- val += get_pixel(im, c, r, k);
- set_pixel(im, c, r, k, 0);
- }
- for (k = 0; k < im.c; ++k) {
- //set_pixel(im, c, r, k, val);
- }
- set_pixel(im, c, r, 0, val);
- }
- }
-}
-
-image make_attention_image(int img_size, float *original_delta_cpu, float *original_input_cpu, int w, int h, int c)
-{
- image attention_img;
- attention_img.w = w;
- attention_img.h = h;
- attention_img.c = c;
- attention_img.data = original_delta_cpu;
- make_image_red(attention_img);
-
- int k;
- float min_val = 999999, mean_val = 0, max_val = -999999;
- for (k = 0; k < img_size; ++k) {
- if (original_delta_cpu[k] < min_val) min_val = original_delta_cpu[k];
- if (original_delta_cpu[k] > max_val) max_val = original_delta_cpu[k];
- mean_val += original_delta_cpu[k];
- }
- mean_val = mean_val / img_size;
- float range = max_val - min_val;
-
- for (k = 0; k < img_size; ++k) {
- float val = original_delta_cpu[k];
- val = fabs(mean_val - val) / range;
- original_delta_cpu[k] = val * 4;
- }
-
- image resized = resize_image(attention_img, w / 4, h / 4);
- attention_img = resize_image(resized, w, h);
- free_image(resized);
- for (k = 0; k < img_size; ++k) attention_img.data[k] += original_input_cpu[k];
-
- //normalize_image(attention_img);
- //show_image(attention_img, "delta");
- return attention_img;
-}
-
-image resize_image(image im, int w, int h)
-{
- if (im.w == w && im.h == h) return copy_image(im);
-
- 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");
- show_image(gray, "Gray");
- show_image(c1, "C1");
- show_image(c2, "C2");
- show_image(c3, "C3");
- show_image(c4, "C4");
-
-#ifdef OPENCV
- while(1){
- image aug = random_augment_image(im, 0, .75, 320, 448, 320);
- show_image(aug, "aug");
- 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");
- printf("%f %f %f\n", dhue, dsat, dexp);
- free_image(c);
- wait_until_press_key_cv();
- }
-#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) {
- char shrinked_filename[1024];
- if (strlen(filename) >= 1024) sprintf(shrinked_filename, "name is too long");
- else sprintf(shrinked_filename, "%s", filename);
- fprintf(stderr, "Cannot load image \"%s\"\nSTB Reason: %s\n", shrinked_filename, stbi_failure_reason());
- FILE* fw = fopen("bad.list", "a");
- fwrite(shrinked_filename, sizeof(char), strlen(shrinked_filename), fw);
- char *new_line = "\n";
- fwrite(new_line, sizeof(char), strlen(new_line), fw);
- fclose(fw);
- if (check_mistakes) {
- printf("\n Error in load_image_stb() \n");
- getchar();
- }
- return make_image(10, 10, 3);
- //exit(EXIT_FAILURE);
- }
- 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_stb_resize(char *filename, int w, int h, int c)
-{
- image out = load_image_stb(filename, c); // without OpenCV
-
- 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(char *filename, int w, int h, int c)
-{
-#ifdef OPENCV
- //image out = load_image_stb(filename, c);
- image out = load_image_cv(filename, c);
-#else
- image out = load_image_stb(filename, c); // without OpenCV
-#endif // OPENCV
-
- 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);
- 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);
- free_image(m);
-}
-
-void free_image(image m)
-{
- if(m.data){
- free(m.data);
- }
-}
-
-// Fast copy data from a contiguous byte array into the image.
-LIB_API void copy_image_from_bytes(image im, char *pdata)
-{
- unsigned char *data = (unsigned char*)pdata;
- int i, k, j;
- int w = im.w;
- int h = im.h;
- int c = im.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.;
- }
- }
- }
-}
+#ifndef _GNU_SOURCE
+#define _GNU_SOURCE
+#endif
+#include "image.h"
+#include "utils.h"
+#include "blas.h"
+#include "dark_cuda.h"
+#include <stdio.h>
+#ifndef _USE_MATH_DEFINES
+#define _USE_MATH_DEFINES
+#endif
+#include <math.h>
+
+#ifndef STB_IMAGE_IMPLEMENTATION
+#define STB_IMAGE_IMPLEMENTATION
+#include "stb_image.h"
+#endif
+#ifndef STB_IMAGE_WRITE_IMPLEMENTATION
+#define STB_IMAGE_WRITE_IMPLEMENTATION
+#include "stb_image_write.h"
+#endif
+
+extern int check_mistakes;
+//int windows = 0;
+
+float colors[6][3] = { {1,0,1}, {0,0,1},{0,1,1},{0,1,0},{1,1,0},{1,0,0} };
+
+float get_color(int c, int x, int max)
+{
+ float ratio = ((float)x/max)*5;
+ int i = floor(ratio);
+ int j = ceil(ratio);
+ ratio -= i;
+ float r = (1-ratio) * colors[i][c] + ratio*colors[j][c];
+ //printf("%f\n", r);
+ return r;
+}
+
+static float get_pixel(image m, int x, int y, int c)
+{
+ assert(x < m.w && y < m.h && c < m.c);
+ return m.data[c*m.h*m.w + y*m.w + x];
+}
+static float get_pixel_extend(image m, int x, int y, int c)
+{
+ if (x < 0 || x >= m.w || y < 0 || y >= m.h) return 0;
+ /*
+ if(x < 0) x = 0;
+ if(x >= m.w) x = m.w-1;
+ if(y < 0) y = 0;
+ if(y >= m.h) y = m.h-1;
+ */
+ if (c < 0 || c >= m.c) return 0;
+ return get_pixel(m, x, y, c);
+}
+static void set_pixel(image m, int x, int y, int c, float val)
+{
+ if (x < 0 || y < 0 || c < 0 || x >= m.w || y >= m.h || c >= m.c) return;
+ assert(x < m.w && y < m.h && c < m.c);
+ m.data[c*m.h*m.w + y*m.w + x] = val;
+}
+static void add_pixel(image m, int x, int y, int c, float val)
+{
+ assert(x < m.w && y < m.h && c < m.c);
+ m.data[c*m.h*m.w + y*m.w + x] += val;
+}
+
+void composite_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);
+ float val2 = get_pixel_extend(dest, dx+x, dy+y, k);
+ set_pixel(dest, dx+x, dy+y, k, val * val2);
+ }
+ }
+ }
+}
+
+image border_image(image a, int border)
+{
+ image b = make_image(a.w + 2*border, a.h + 2*border, a.c);
+ int x,y,k;
+ for(k = 0; k < b.c; ++k){
+ for(y = 0; y < b.h; ++y){
+ for(x = 0; x < b.w; ++x){
+ float val = get_pixel_extend(a, x - border, y - border, k);
+ if(x - border < 0 || x - border >= a.w || y - border < 0 || y - border >= a.h) val = 1;
+ set_pixel(b, x, y, k, val);
+ }
+ }
+ }
+ return b;
+}
+
+image tile_images(image a, image b, int dx)
+{
+ if(a.w == 0) return copy_image(b);
+ 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);
+ fill_cpu(c.w*c.h*c.c, 1, c.data, 1);
+ embed_image(a, c, 0, 0);
+ composite_image(b, c, a.w + dx, 0);
+ return c;
+}
+
+image get_label(image **characters, char *string, int size)
+{
+ if(size > 7) size = 7;
+ image label = make_empty_image(0,0,0);
+ while(*string){
+ image l = characters[size][(int)*string];
+ image n = tile_images(label, l, -size - 1 + (size+1)/2);
+ free_image(label);
+ label = n;
+ ++string;
+ }
+ image b = border_image(label, label.h*.25);
+ free_image(label);
+ return b;
+}
+
+image get_label_v3(image **characters, char *string, int size)
+{
+ size = size / 10;
+ if (size > 7) size = 7;
+ image label = make_empty_image(0, 0, 0);
+ while (*string) {
+ image l = characters[size][(int)*string];
+ image n = tile_images(label, l, -size - 1 + (size + 1) / 2);
+ free_image(label);
+ label = n;
+ ++string;
+ }
+ image b = border_image(label, label.h*.05);
+ free_image(label);
+ return b;
+}
+
+void draw_label(image a, int r, int c, image label, const float *rgb)
+{
+ int w = label.w;
+ int h = label.h;
+ if (r - h >= 0) r = r - h;
+
+ int i, j, k;
+ for(j = 0; j < h && j + r < a.h; ++j){
+ for(i = 0; i < w && i + c < a.w; ++i){
+ for(k = 0; k < label.c; ++k){
+ float val = get_pixel(label, i, j, k);
+ set_pixel(a, i+c, j+r, k, rgb[k] * val);
+ }
+ }
+ }
+}
+
+void draw_weighted_label(image a, int r, int c, image label, const float *rgb, const float alpha)
+{
+ int w = label.w;
+ int h = label.h;
+ if (r - h >= 0) r = r - h;
+
+ int i, j, k;
+ for (j = 0; j < h && j + r < a.h; ++j) {
+ for (i = 0; i < w && i + c < a.w; ++i) {
+ for (k = 0; k < label.c; ++k) {
+ float val1 = get_pixel(label, i, j, k);
+ float val2 = get_pixel(a, i + c, j + r, k);
+ float val_dst = val1 * rgb[k] * alpha + val2 * (1 - alpha);
+ set_pixel(a, i + c, j + r, k, val_dst);
+ }
+ }
+ }
+}
+
+void draw_box_bw(image a, int x1, int y1, int x2, int y2, float brightness)
+{
+ //normalize_image(a);
+ int i;
+ if (x1 < 0) x1 = 0;
+ if (x1 >= a.w) x1 = a.w - 1;
+ if (x2 < 0) x2 = 0;
+ if (x2 >= a.w) x2 = a.w - 1;
+
+ if (y1 < 0) y1 = 0;
+ if (y1 >= a.h) y1 = a.h - 1;
+ if (y2 < 0) y2 = 0;
+ if (y2 >= a.h) y2 = a.h - 1;
+
+ for (i = x1; i <= x2; ++i) {
+ a.data[i + y1*a.w + 0 * a.w*a.h] = brightness;
+ a.data[i + y2*a.w + 0 * a.w*a.h] = brightness;
+ }
+ for (i = y1; i <= y2; ++i) {
+ a.data[x1 + i*a.w + 0 * a.w*a.h] = brightness;
+ a.data[x2 + i*a.w + 0 * a.w*a.h] = brightness;
+ }
+}
+
+void draw_box_width_bw(image a, int x1, int y1, int x2, int y2, int w, float brightness)
+{
+ int i;
+ for (i = 0; i < w; ++i) {
+ float alternate_color = (w % 2) ? (brightness) : (1.0 - brightness);
+ draw_box_bw(a, x1 + i, y1 + i, x2 - i, y2 - i, alternate_color);
+ }
+}
+
+void draw_box(image a, int x1, int y1, int x2, int y2, float r, float g, float b)
+{
+ //normalize_image(a);
+ int i;
+ if(x1 < 0) x1 = 0;
+ if(x1 >= a.w) x1 = a.w-1;
+ if(x2 < 0) x2 = 0;
+ if(x2 >= a.w) x2 = a.w-1;
+
+ if(y1 < 0) y1 = 0;
+ if(y1 >= a.h) y1 = a.h-1;
+ if(y2 < 0) y2 = 0;
+ if(y2 >= a.h) y2 = a.h-1;
+
+ for(i = x1; i <= x2; ++i){
+ a.data[i + y1*a.w + 0*a.w*a.h] = r;
+ a.data[i + y2*a.w + 0*a.w*a.h] = r;
+
+ a.data[i + y1*a.w + 1*a.w*a.h] = g;
+ a.data[i + y2*a.w + 1*a.w*a.h] = g;
+
+ a.data[i + y1*a.w + 2*a.w*a.h] = b;
+ a.data[i + y2*a.w + 2*a.w*a.h] = b;
+ }
+ for(i = y1; i <= y2; ++i){
+ a.data[x1 + i*a.w + 0*a.w*a.h] = r;
+ a.data[x2 + i*a.w + 0*a.w*a.h] = r;
+
+ a.data[x1 + i*a.w + 1*a.w*a.h] = g;
+ a.data[x2 + i*a.w + 1*a.w*a.h] = g;
+
+ a.data[x1 + i*a.w + 2*a.w*a.h] = b;
+ a.data[x2 + i*a.w + 2*a.w*a.h] = b;
+ }
+}
+
+void draw_box_width(image a, int x1, int y1, int x2, int y2, int w, float r, float g, float b)
+{
+ int i;
+ for(i = 0; i < w; ++i){
+ draw_box(a, x1+i, y1+i, x2-i, y2-i, r, g, b);
+ }
+}
+
+void draw_bbox(image a, box bbox, int w, float r, float g, float b)
+{
+ int left = (bbox.x-bbox.w/2)*a.w;
+ int right = (bbox.x+bbox.w/2)*a.w;
+ int top = (bbox.y-bbox.h/2)*a.h;
+ int bot = (bbox.y+bbox.h/2)*a.h;
+
+ int i;
+ for(i = 0; i < w; ++i){
+ draw_box(a, left+i, top+i, right-i, bot-i, r, g, b);
+ }
+}
+
+image **load_alphabet()
+{
+ int i, j;
+ const int nsize = 8;
+ image** alphabets = (image**)xcalloc(nsize, sizeof(image*));
+ for(j = 0; j < nsize; ++j){
+ alphabets[j] = (image*)xcalloc(128, sizeof(image));
+ for(i = 32; i < 127; ++i){
+ char buff[256];
+ sprintf(buff, "data/labels/%d_%d.png", i, j);
+ alphabets[j][i] = load_image_color(buff, 0, 0);
+ }
+ }
+ return alphabets;
+}
+
+
+
+// Creates array of detections with prob > thresh and fills best_class for them
+detection_with_class* get_actual_detections(detection *dets, int dets_num, float thresh, int* selected_detections_num, char **names)
+{
+ int selected_num = 0;
+ detection_with_class* result_arr = (detection_with_class*)xcalloc(dets_num, sizeof(detection_with_class));
+ int i;
+ for (i = 0; i < dets_num; ++i) {
+ int best_class = -1;
+ float best_class_prob = thresh;
+ int j;
+ for (j = 0; j < dets[i].classes; ++j) {
+ int show = strncmp(names[j], "dont_show", 9);
+ if (dets[i].prob[j] > best_class_prob && show) {
+ best_class = j;
+ best_class_prob = dets[i].prob[j];
+ }
+ }
+ if (best_class >= 0) {
+ result_arr[selected_num].det = dets[i];
+ result_arr[selected_num].best_class = best_class;
+ ++selected_num;
+ }
+ }
+ if (selected_detections_num)
+ *selected_detections_num = selected_num;
+ return result_arr;
+}
+
+// compare to sort detection** by bbox.x
+int compare_by_lefts(const void *a_ptr, const void *b_ptr) {
+ const detection_with_class* a = (detection_with_class*)a_ptr;
+ const detection_with_class* b = (detection_with_class*)b_ptr;
+ const float delta = (a->det.bbox.x - a->det.bbox.w/2) - (b->det.bbox.x - b->det.bbox.w/2);
+ return delta < 0 ? -1 : delta > 0 ? 1 : 0;
+}
+
+// compare to sort detection** by best_class probability
+int compare_by_probs(const void *a_ptr, const void *b_ptr) {
+ const detection_with_class* a = (detection_with_class*)a_ptr;
+ const detection_with_class* b = (detection_with_class*)b_ptr;
+ float delta = a->det.prob[a->best_class] - b->det.prob[b->best_class];
+ return delta < 0 ? -1 : delta > 0 ? 1 : 0;
+}
+
+void draw_detections_v3(image im, detection *dets, int num, float thresh, char **names, image **alphabet, int classes, int ext_output)
+{
+ static int frame_id = 0;
+ frame_id++;
+
+ int selected_detections_num;
+ detection_with_class* selected_detections = get_actual_detections(dets, num, thresh, &selected_detections_num, names);
+
+ // text output
+ qsort(selected_detections, selected_detections_num, sizeof(*selected_detections), compare_by_lefts);
+ int i;
+ for (i = 0; i < selected_detections_num; ++i) {
+ const int best_class = selected_detections[i].best_class;
+ printf("%s: %.0f%%", names[best_class], selected_detections[i].det.prob[best_class] * 100);
+ if (ext_output)
+ printf("\t(left_x: %4.0f top_y: %4.0f width: %4.0f height: %4.0f)\n",
+ round((selected_detections[i].det.bbox.x - selected_detections[i].det.bbox.w / 2)*im.w),
+ round((selected_detections[i].det.bbox.y - selected_detections[i].det.bbox.h / 2)*im.h),
+ round(selected_detections[i].det.bbox.w*im.w), round(selected_detections[i].det.bbox.h*im.h));
+ else
+ printf("\n");
+ int j;
+ for (j = 0; j < classes; ++j) {
+ if (selected_detections[i].det.prob[j] > thresh && j != best_class) {
+ printf("%s: %.0f%%", names[j], selected_detections[i].det.prob[j] * 100);
+
+ if (ext_output)
+ printf("\t(left_x: %4.0f top_y: %4.0f width: %4.0f height: %4.0f)\n",
+ round((selected_detections[i].det.bbox.x - selected_detections[i].det.bbox.w / 2)*im.w),
+ round((selected_detections[i].det.bbox.y - selected_detections[i].det.bbox.h / 2)*im.h),
+ round(selected_detections[i].det.bbox.w*im.w), round(selected_detections[i].det.bbox.h*im.h));
+ else
+ printf("\n");
+ }
+ }
+ }
+
+ // image output
+ qsort(selected_detections, selected_detections_num, sizeof(*selected_detections), compare_by_probs);
+ for (i = 0; i < selected_detections_num; ++i) {
+ int width = im.h * .002;
+ if (width < 1)
+ width = 1;
+
+ /*
+ if(0){
+ width = pow(prob, 1./2.)*10+1;
+ alphabet = 0;
+ }
+ */
+
+ //printf("%d %s: %.0f%%\n", i, names[selected_detections[i].best_class], prob*100);
+ int offset = selected_detections[i].best_class * 123457 % classes;
+ float red = get_color(2, offset, classes);
+ float green = get_color(1, offset, classes);
+ float blue = get_color(0, offset, classes);
+ float rgb[3];
+
+ //width = prob*20+2;
+
+ rgb[0] = red;
+ rgb[1] = green;
+ rgb[2] = blue;
+ box b = selected_detections[i].det.bbox;
+ //printf("%f %f %f %f\n", b.x, b.y, b.w, b.h);
+
+ int left = (b.x - b.w / 2.)*im.w;
+ int right = (b.x + b.w / 2.)*im.w;
+ int top = (b.y - b.h / 2.)*im.h;
+ int bot = (b.y + b.h / 2.)*im.h;
+
+ if (left < 0) left = 0;
+ if (right > im.w - 1) right = im.w - 1;
+ if (top < 0) top = 0;
+ if (bot > im.h - 1) bot = im.h - 1;
+
+ //int b_x_center = (left + right) / 2;
+ //int b_y_center = (top + bot) / 2;
+ //int b_width = right - left;
+ //int b_height = bot - top;
+ //sprintf(labelstr, "%d x %d - w: %d, h: %d", b_x_center, b_y_center, b_width, b_height);
+
+ // you should create directory: result_img
+ //static int copied_frame_id = -1;
+ //static image copy_img;
+ //if (copied_frame_id != frame_id) {
+ // copied_frame_id = frame_id;
+ // if (copy_img.data) free_image(copy_img);
+ // copy_img = copy_image(im);
+ //}
+ //image cropped_im = crop_image(copy_img, left, top, right - left, bot - top);
+ //static int img_id = 0;
+ //img_id++;
+ //char image_name[1024];
+ //int best_class_id = selected_detections[i].best_class;
+ //sprintf(image_name, "result_img/img_%d_%d_%d_%s.jpg", frame_id, img_id, best_class_id, names[best_class_id]);
+ //save_image(cropped_im, image_name);
+ //free_image(cropped_im);
+
+ if (im.c == 1) {
+ draw_box_width_bw(im, left, top, right, bot, width, 0.8); // 1 channel Black-White
+ }
+ else {
+ draw_box_width(im, left, top, right, bot, width, red, green, blue); // 3 channels RGB
+ }
+ if (alphabet) {
+ char labelstr[4096] = { 0 };
+ strcat(labelstr, names[selected_detections[i].best_class]);
+ char prob_str[10];
+ sprintf(prob_str, ": %.2f", selected_detections[i].det.prob[selected_detections[i].best_class]);
+ strcat(labelstr, prob_str);
+ int j;
+ for (j = 0; j < classes; ++j) {
+ if (selected_detections[i].det.prob[j] > thresh && j != selected_detections[i].best_class) {
+ strcat(labelstr, ", ");
+ strcat(labelstr, names[j]);
+ }
+ }
+ image label = get_label_v3(alphabet, labelstr, (im.h*.02));
+ //draw_label(im, top + width, left, label, rgb);
+ draw_weighted_label(im, top + width, left, label, rgb, 0.7);
+ free_image(label);
+ }
+ if (selected_detections[i].det.mask) {
+ image mask = float_to_image(14, 14, 1, selected_detections[i].det.mask);
+ image resized_mask = resize_image(mask, b.w*im.w, b.h*im.h);
+ image tmask = threshold_image(resized_mask, .5);
+ embed_image(tmask, im, left, top);
+ free_image(mask);
+ free_image(resized_mask);
+ free_image(tmask);
+ }
+ }
+ free(selected_detections);
+}
+
+void draw_detections(image im, int num, float thresh, box *boxes, float **probs, char **names, image **alphabet, int classes)
+{
+ int i;
+
+ for(i = 0; i < num; ++i){
+ int class_id = max_index(probs[i], classes);
+ float prob = probs[i][class_id];
+ if(prob > thresh){
+
+ //// for comparison with OpenCV version of DNN Darknet Yolo v2
+ //printf("\n %f, %f, %f, %f, ", boxes[i].x, boxes[i].y, boxes[i].w, boxes[i].h);
+ // int k;
+ //for (k = 0; k < classes; ++k) {
+ // printf("%f, ", probs[i][k]);
+ //}
+ //printf("\n");
+
+ int width = im.h * .012;
+
+ if(0){
+ width = pow(prob, 1./2.)*10+1;
+ alphabet = 0;
+ }
+
+ int offset = class_id*123457 % classes;
+ float red = get_color(2,offset,classes);
+ float green = get_color(1,offset,classes);
+ float blue = get_color(0,offset,classes);
+ float rgb[3];
+
+ //width = prob*20+2;
+
+ rgb[0] = red;
+ rgb[1] = green;
+ rgb[2] = blue;
+ box b = boxes[i];
+
+ int left = (b.x-b.w/2.)*im.w;
+ int right = (b.x+b.w/2.)*im.w;
+ int top = (b.y-b.h/2.)*im.h;
+ int bot = (b.y+b.h/2.)*im.h;
+
+ if(left < 0) left = 0;
+ if(right > im.w-1) right = im.w-1;
+ if(top < 0) top = 0;
+ if(bot > im.h-1) bot = im.h-1;
+ printf("%s: %.0f%%", names[class_id], prob * 100);
+
+ //printf(" - id: %d, x_center: %d, y_center: %d, width: %d, height: %d",
+ // class_id, (right + left) / 2, (bot - top) / 2, right - left, bot - top);
+
+ printf("\n");
+ draw_box_width(im, left, top, right, bot, width, red, green, blue);
+ if (alphabet) {
+ image label = get_label(alphabet, names[class_id], (im.h*.03)/10);
+ draw_label(im, top + width, left, label, rgb);
+ }
+ }
+ }
+}
+
+void transpose_image(image im)
+{
+ assert(im.w == im.h);
+ int n, m;
+ int c;
+ for(c = 0; c < im.c; ++c){
+ for(n = 0; n < im.w-1; ++n){
+ for(m = n + 1; m < im.w; ++m){
+ float swap = im.data[m + im.w*(n + im.h*c)];
+ im.data[m + im.w*(n + im.h*c)] = im.data[n + im.w*(m + im.h*c)];
+ im.data[n + im.w*(m + im.h*c)] = swap;
+ }
+ }
+ }
+}
+
+void rotate_image_cw(image im, int times)
+{
+ assert(im.w == im.h);
+ times = (times + 400) % 4;
+ int i, x, y, c;
+ int n = im.w;
+ for(i = 0; i < times; ++i){
+ for(c = 0; c < im.c; ++c){
+ for(x = 0; x < n/2; ++x){
+ for(y = 0; y < (n-1)/2 + 1; ++y){
+ float temp = im.data[y + im.w*(x + im.h*c)];
+ im.data[y + im.w*(x + im.h*c)] = im.data[n-1-x + im.w*(y + im.h*c)];
+ im.data[n-1-x + im.w*(y + im.h*c)] = im.data[n-1-y + im.w*(n-1-x + im.h*c)];
+ im.data[n-1-y + im.w*(n-1-x + im.h*c)] = im.data[x + im.w*(n-1-y + im.h*c)];
+ im.data[x + im.w*(n-1-y + im.h*c)] = temp;
+ }
+ }
+ }
+ }
+}
+
+void flip_image(image a)
+{
+ int i,j,k;
+ for(k = 0; k < a.c; ++k){
+ for(i = 0; i < a.h; ++i){
+ for(j = 0; j < a.w/2; ++j){
+ int index = j + a.w*(i + a.h*(k));
+ int flip = (a.w - j - 1) + a.w*(i + a.h*(k));
+ 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 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 = (float*)xcalloc(p.c, sizeof(float));
+ float* max = (float*)xcalloc(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_inplace(image src, image dst)
+{
+ memcpy(dst.data, src.data, src.h*src.w*src.c * sizeof(float));
+}
+
+image copy_image(image p)
+{
+ image copy = p;
+ copy.data = (float*)xcalloc(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;
+ }
+}
+
+void show_image(image p, const char *name)
+{
+#ifdef OPENCV
+ show_image_cv(p, name);
+#else
+ fprintf(stderr, "Not compiled with OpenCV, saving to %s.png instead\n", name);
+ save_image(p, name);
+#endif // OPENCV
+}
+
+void save_image_png(image im, const char *name)
+{
+ char buff[256];
+ //sprintf(buff, "%s (%d)", name, windows);
+ sprintf(buff, "%s.png", name);
+ unsigned char* data = (unsigned char*)xcalloc(im.w * im.h * im.c, sizeof(unsigned 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 = stbi_write_png(buff, im.w, im.h, im.c, data, im.w*im.c);
+ free(data);
+ if(!success) fprintf(stderr, "Failed to write image %s\n", buff);
+}
+
+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 = (unsigned char*)xcalloc(im.w * im.h * im.c, sizeof(unsigned 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 save_image_jpg(image p, const char *name)
+{
+ save_image_options(p, 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);
+ free_image(layer);
+ }
+}
+
+void show_image_collapsed(image p, char *name)
+{
+ image c = collapse_image_layers(p, 1);
+ show_image(c, name);
+ 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 = (float*)xcalloc(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 = (float*)xcalloc(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_scaled(int w, int h, int c, float *data)
+{
+ image out = make_image(w, h, c);
+ int abs_max = 0;
+ int i = 0;
+ for (i = 0; i < w*h*c; ++i) {
+ if (fabs(data[i]) > abs_max) abs_max = fabs(data[i]);
+ }
+ for (i = 0; i < w*h*c; ++i) {
+ out.data[i] = data[i] / abs_max;
+ }
+ 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;
+}
+
+
+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 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);
+ if (r >= 0 && r < im.h && c >= 0 && c < im.w) {
+ 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];
+ }
+#ifdef OPENCV
+ save_image_jpg(c, out);
+#else
+ save_image(c, out);
+#endif
+}
+
+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 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;
+}
+
+image random_augment_image(image im, float angle, float aspect, int low, int high, int size)
+{
+ 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) * 2.0 * M_PI / 360.;
+
+ float dx = (im.w*scale/aspect - size) / 2.;
+ float dy = (im.h*scale - size) / 2.;
+ if(dx < 0) dx = 0;
+ if(dy < 0) dy = 0;
+ dx = rand_uniform(-dx, dx);
+ dy = rand_uniform(-dy, dy);
+
+ image crop = rotate_crop_image(im, rad, scale, size, size, dx, dy, 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) ;
+}
+
+// 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);
+ }
+ }
+}
+
+image grayscale_image(image im)
+{
+ assert(im.c == 3);
+ int i, j, k;
+ image gray = make_image(im.w, im.h, 1);
+ float scale[] = {0.587, 0.299, 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)
+{
+ if (im.c >= 3)
+ {
+ 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);
+ }
+ else
+ {
+ scale_image_channel(im, 0, val);
+ }
+ constrain_image(im);
+}
+
+void random_distort_image(image im, float hue, float saturation, float exposure)
+{
+ float dhue = rand_uniform_strong(-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);
+}
+
+float bilinear_interpolate(image im, float x, float y, int c)
+{
+ int ix = (int) floorf(x);
+ int iy = (int) floorf(y);
+
+ float dx = x - ix;
+ float dy = y - iy;
+
+ float val = (1-dy) * (1-dx) * get_pixel_extend(im, ix, iy, c) +
+ dy * (1-dx) * get_pixel_extend(im, ix, iy+1, c) +
+ (1-dy) * dx * get_pixel_extend(im, ix+1, iy, c) +
+ dy * dx * get_pixel_extend(im, ix+1, iy+1, c);
+ return val;
+}
+
+void quantize_image(image im)
+{
+ int size = im.c * im.w * im.h;
+ int i;
+ for (i = 0; i < size; ++i) im.data[i] = (int)(im.data[i] * 255) / 255. + (0.5/255);
+}
+
+void make_image_red(image im)
+{
+ int r, c, k;
+ for (r = 0; r < im.h; ++r) {
+ for (c = 0; c < im.w; ++c) {
+ float val = 0;
+ for (k = 0; k < im.c; ++k) {
+ val += get_pixel(im, c, r, k);
+ set_pixel(im, c, r, k, 0);
+ }
+ for (k = 0; k < im.c; ++k) {
+ //set_pixel(im, c, r, k, val);
+ }
+ set_pixel(im, c, r, 0, val);
+ }
+ }
+}
+
+image make_attention_image(int img_size, float *original_delta_cpu, float *original_input_cpu, int w, int h, int c)
+{
+ image attention_img;
+ attention_img.w = w;
+ attention_img.h = h;
+ attention_img.c = c;
+ attention_img.data = original_delta_cpu;
+ make_image_red(attention_img);
+
+ int k;
+ float min_val = 999999, mean_val = 0, max_val = -999999;
+ for (k = 0; k < img_size; ++k) {
+ if (original_delta_cpu[k] < min_val) min_val = original_delta_cpu[k];
+ if (original_delta_cpu[k] > max_val) max_val = original_delta_cpu[k];
+ mean_val += original_delta_cpu[k];
+ }
+ mean_val = mean_val / img_size;
+ float range = max_val - min_val;
+
+ for (k = 0; k < img_size; ++k) {
+ float val = original_delta_cpu[k];
+ val = fabs(mean_val - val) / range;
+ original_delta_cpu[k] = val * 4;
+ }
+
+ image resized = resize_image(attention_img, w / 4, h / 4);
+ attention_img = resize_image(resized, w, h);
+ free_image(resized);
+ for (k = 0; k < img_size; ++k) attention_img.data[k] += original_input_cpu[k];
+
+ //normalize_image(attention_img);
+ //show_image(attention_img, "delta");
+ return attention_img;
+}
+
+image resize_image(image im, int w, int h)
+{
+ if (im.w == w && im.h == h) return copy_image(im);
+
+ 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");
+ show_image(gray, "Gray");
+ show_image(c1, "C1");
+ show_image(c2, "C2");
+ show_image(c3, "C3");
+ show_image(c4, "C4");
+
+#ifdef OPENCV
+ while(1){
+ image aug = random_augment_image(im, 0, .75, 320, 448, 320);
+ show_image(aug, "aug");
+ 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");
+ printf("%f %f %f\n", dhue, dsat, dexp);
+ free_image(c);
+ wait_until_press_key_cv();
+ }
+#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) {
+ char shrinked_filename[1024];
+ if (strlen(filename) >= 1024) sprintf(shrinked_filename, "name is too long");
+ else sprintf(shrinked_filename, "%s", filename);
+ fprintf(stderr, "Cannot load image \"%s\"\nSTB Reason: %s\n", shrinked_filename, stbi_failure_reason());
+ FILE* fw = fopen("bad.list", "a");
+ fwrite(shrinked_filename, sizeof(char), strlen(shrinked_filename), fw);
+ char *new_line = "\n";
+ fwrite(new_line, sizeof(char), strlen(new_line), fw);
+ fclose(fw);
+ if (check_mistakes) {
+ printf("\n Error in load_image_stb() \n");
+ getchar();
+ }
+ return make_image(10, 10, 3);
+ //exit(EXIT_FAILURE);
+ }
+ 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_stb_resize(char *filename, int w, int h, int c)
+{
+ image out = load_image_stb(filename, c); // without OpenCV
+
+ 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(char *filename, int w, int h, int c)
+{
+#ifdef OPENCV
+ //image out = load_image_stb(filename, c);
+ image out = load_image_cv(filename, c);
+#else
+ image out = load_image_stb(filename, c); // without OpenCV
+#endif // OPENCV
+
+ 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);
+ 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);
+ free_image(m);
+}
+
+void free_image(image m)
+{
+ if(m.data){
+ free(m.data);
+ }
+}
+
+// Fast copy data from a contiguous byte array into the image.
+LIB_API void copy_image_from_bytes(image im, char *pdata)
+{
+ unsigned char *data = (unsigned char*)pdata;
+ int i, k, j;
+ int w = im.w;
+ int h = im.h;
+ int c = im.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.;
+ }
+ }
+ }
+}
--
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