From 0713fd9784bbd0c67eb82df6f6e2c072a53e09e8 Mon Sep 17 00:00:00 2001
From: Alexey <AlexeyAB@users.noreply.github.com>
Date: Thu, 31 May 2018 11:20:19 +0000
Subject: [PATCH] Merge pull request #936 from IlyaOvodov/Fix_GrayScale_PR
---
src/image.c | 1265 ++++++++++++++++++++++++++++++++++++++++++++++++++-------
1 files changed, 1,101 insertions(+), 164 deletions(-)
diff --git a/src/image.c b/src/image.c
index 60ccfb8..3ffd552 100644
--- a/src/image.c
+++ b/src/image.c
@@ -1,19 +1,28 @@
#include "image.h"
#include "utils.h"
#include "blas.h"
+#include "cuda.h"
#include <stdio.h>
#include <math.h>
-#ifdef OPENCV
-#include "opencv2/highgui/highgui_c.h"
-#include "opencv2/imgproc/imgproc_c.h"
-#endif
-
#define STB_IMAGE_IMPLEMENTATION
#include "stb_image.h"
#define STB_IMAGE_WRITE_IMPLEMENTATION
#include "stb_image_write.h"
+#ifdef OPENCV
+#include "opencv2/highgui/highgui_c.h"
+#include "opencv2/imgproc/imgproc_c.h"
+#include "opencv2/core/types_c.h"
+#include "opencv2/core/version.hpp"
+#ifndef CV_VERSION_EPOCH
+#include "opencv2/videoio/videoio_c.h"
+#include "opencv2/imgcodecs/imgcodecs_c.h"
+#include "http_stream.h"
+#endif
+#include "http_stream.h"
+#endif
+
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} };
@@ -29,24 +38,123 @@
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*.25);
+ free_image(label);
+ return b;
+}
+
void draw_label(image a, int r, int c, image label, const float *rgb)
{
- float ratio = (float) label.w / label.h;
+ int w = label.w;
int h = label.h;
- int w = ratio * h;
- image rl = resize_image(label, w, 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(rl, i, j, k);
+ float val = get_pixel(label, i, j, k);
set_pixel(a, i+c, j+r, k, rgb[k] * val);
}
}
}
- free_image(rl);
}
void draw_box(image a, int x1, int y1, int x2, int y2, float r, float g, float b)
@@ -106,21 +214,198 @@
}
}
-void draw_detections(image im, int num, float thresh, box *boxes, float **probs, char **names, image *labels, int classes)
+image **load_alphabet()
+{
+ int i, j;
+ const int nsize = 8;
+ image **alphabets = calloc(nsize, sizeof(image));
+ for(j = 0; j < nsize; ++j){
+ alphabets[j] = calloc(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)
+{
+ int selected_num = 0;
+ detection_with_class* result_arr = calloc(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) {
+ if (dets[i].prob[j] > best_class_prob ) {
+ 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)
+{
+ int selected_detections_num;
+ detection_with_class* selected_detections = get_actual_detections(dets, num, thresh, &selected_detections_num);
+
+ // 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",
+ (selected_detections[i].det.bbox.x - selected_detections[i].det.bbox.w / 2)*im.w,
+ (selected_detections[i].det.bbox.y - selected_detections[i].det.bbox.h / 2)*im.h,
+ selected_detections[i].det.bbox.w*im.w, 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%%\n", names[j], selected_detections[i].det.prob[j] * 100);
+ }
+ }
+ }
+
+ // 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 * .006;
+ 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);
+
+ draw_box_width(im, left, top, right, bot, width, red, green, blue);
+ 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*.03));
+ 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 = max_index(probs[i], classes);
- float prob = probs[i][class];
+ int class_id = max_index(probs[i], classes);
+ float prob = probs[i][class_id];
if(prob > thresh){
- int width = pow(prob, 1./2.)*10+1;
- printf("%s: %.2f\n", names[class], prob);
- int offset = class*17 % classes;
- float red = get_color(0,offset,classes);
+
+ //// 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(2,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;
@@ -135,13 +420,313 @@
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 (labels) draw_label(im, top + width, left, labels[class], rgb);
+ if (alphabet) {
+ image label = get_label(alphabet, names[class_id], (im.h*.03)/10);
+ draw_label(im, top + width, left, label, rgb);
+ }
}
}
}
+#ifdef OPENCV
+
+void draw_detections_cv_v3(IplImage* show_img, detection *dets, int num, float thresh, char **names, image **alphabet, int classes, int ext_output)
+{
+ int i, j;
+ if (!show_img) return;
+ static int frame_id = 0;
+ frame_id++;
+
+ for (i = 0; i < num; ++i) {
+ char labelstr[4096] = { 0 };
+ int class_id = -1;
+ for (j = 0; j < classes; ++j) {
+ if (dets[i].prob[j] > thresh) {
+ if (class_id < 0) {
+ strcat(labelstr, names[j]);
+ class_id = j;
+ }
+ else {
+ strcat(labelstr, ", ");
+ strcat(labelstr, names[j]);
+ }
+ printf("%s: %.0f%% ", names[j], dets[i].prob[j] * 100);
+ }
+ }
+ if (class_id >= 0) {
+ int width = show_img->height * .006;
+
+ //if(0){
+ //width = pow(prob, 1./2.)*10+1;
+ //alphabet = 0;
+ //}
+
+ //printf("%d %s: %.0f%%\n", i, names[class_id], prob*100);
+ 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 = dets[i].bbox;
+ //printf("%f %f %f %f\n", b.x, b.y, b.w, b.h);
+
+ int left = (b.x - b.w / 2.)*show_img->width;
+ int right = (b.x + b.w / 2.)*show_img->width;
+ int top = (b.y - b.h / 2.)*show_img->height;
+ int bot = (b.y + b.h / 2.)*show_img->height;
+
+ if (left < 0) left = 0;
+ if (right > show_img->width - 1) right = show_img->width - 1;
+ if (top < 0) top = 0;
+ if (bot > show_img->height - 1) bot = show_img->height - 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);
+
+ float const font_size = show_img->height / 1000.F;
+ CvPoint pt1, pt2, pt_text, pt_text_bg1, pt_text_bg2;
+ pt1.x = left;
+ pt1.y = top;
+ pt2.x = right;
+ pt2.y = bot;
+ pt_text.x = left;
+ pt_text.y = top - 12;
+ pt_text_bg1.x = left;
+ pt_text_bg1.y = top - (10 + 25 * font_size);
+ pt_text_bg2.x = right;
+ pt_text_bg2.y = top;
+ CvScalar color;
+ color.val[0] = red * 256;
+ color.val[1] = green * 256;
+ color.val[2] = blue * 256;
+
+ // you should create directory: result_img
+ //static int copied_frame_id = -1;
+ //static IplImage* copy_img = NULL;
+ //if (copied_frame_id != frame_id) {
+ // copied_frame_id = frame_id;
+ // if(copy_img == NULL) copy_img = cvCreateImage(cvSize(show_img->width, show_img->height), show_img->depth, show_img->nChannels);
+ // cvCopy(show_img, copy_img, 0);
+ //}
+ //static int img_id = 0;
+ //img_id++;
+ //char image_name[1024];
+ //sprintf(image_name, "result_img/img_%d_%d_%d.jpg", frame_id, img_id, class_id);
+ //CvRect rect = cvRect(pt1.x, pt1.y, pt2.x - pt1.x, pt2.y - pt1.y);
+ //cvSetImageROI(copy_img, rect);
+ //cvSaveImage(image_name, copy_img, 0);
+ //cvResetImageROI(copy_img);
+
+ cvRectangle(show_img, pt1, pt2, color, width, 8, 0);
+ if (ext_output)
+ printf("\t(left_x: %4.0f top_y: %4.0f width: %4.0f height: %4.0f)\n",
+ (float)left, (float)top, b.w*show_img->width, b.h*show_img->height);
+ else
+ printf("\n");
+ cvRectangle(show_img, pt_text_bg1, pt_text_bg2, color, width, 8, 0);
+ cvRectangle(show_img, pt_text_bg1, pt_text_bg2, color, CV_FILLED, 8, 0); // filled
+ CvScalar black_color;
+ black_color.val[0] = 0;
+ CvFont font;
+ cvInitFont(&font, CV_FONT_HERSHEY_SIMPLEX, font_size, font_size, 0, font_size * 3, 8);
+ cvPutText(show_img, labelstr, pt_text, &font, black_color);
+ }
+ }
+}
+
+void draw_detections_cv(IplImage* show_img, 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) {
+
+ int width = show_img->height * .012;
+
+ if (0) {
+ width = pow(prob, 1. / 2.) * 10 + 1;
+ alphabet = 0;
+ }
+
+ printf("%s: %.0f%%\n", names[class_id], prob * 100);
+ 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.)*show_img->width;
+ int right = (b.x + b.w / 2.)*show_img->width;
+ int top = (b.y - b.h / 2.)*show_img->height;
+ int bot = (b.y + b.h / 2.)*show_img->height;
+
+ if (left < 0) left = 0;
+ if (right > show_img->width - 1) right = show_img->width - 1;
+ if (top < 0) top = 0;
+ if (bot > show_img->height - 1) bot = show_img->height - 1;
+
+ float const font_size = show_img->height / 1000.F;
+ CvPoint pt1, pt2, pt_text, pt_text_bg1, pt_text_bg2;
+ pt1.x = left;
+ pt1.y = top;
+ pt2.x = right;
+ pt2.y = bot;
+ pt_text.x = left;
+ pt_text.y = top - 12;
+ pt_text_bg1.x = left;
+ pt_text_bg1.y = top - (10+25*font_size);
+ pt_text_bg2.x = right;
+ pt_text_bg2.y = top;
+ CvScalar color;
+ color.val[0] = red * 256;
+ color.val[1] = green * 256;
+ color.val[2] = blue * 256;
+
+ cvRectangle(show_img, pt1, pt2, color, width, 8, 0);
+ //printf("left=%d, right=%d, top=%d, bottom=%d, obj_id=%d, obj=%s \n", left, right, top, bot, class_id, names[class_id]);
+ cvRectangle(show_img, pt_text_bg1, pt_text_bg2, color, width, 8, 0);
+ cvRectangle(show_img, pt_text_bg1, pt_text_bg2, color, CV_FILLED, 8, 0); // filled
+ CvScalar black_color;
+ black_color.val[0] = 0;
+ CvFont font;
+ cvInitFont(&font, CV_FONT_HERSHEY_SIMPLEX, font_size, font_size, 0, font_size * 3, 8);
+ cvPutText(show_img, names[class_id], pt_text, &font, black_color);
+ }
+ }
+}
+
+IplImage* draw_train_chart(float max_img_loss, int max_batches, int number_of_lines, int img_size)
+{
+ int img_offset = 50;
+ int draw_size = img_size - img_offset;
+ IplImage* img = cvCreateImage(cvSize(img_size, img_size), 8, 3);
+ cvSet(img, CV_RGB(255, 255, 255), 0);
+ CvPoint pt1, pt2, pt_text;
+ CvFont font;
+ cvInitFont(&font, CV_FONT_HERSHEY_COMPLEX_SMALL, 0.7, 0.7, 0, 1, CV_AA);
+ char char_buff[100];
+ int i;
+ // vertical lines
+ pt1.x = img_offset; pt2.x = img_size, pt_text.x = 10;
+ for (i = 1; i <= number_of_lines; ++i) {
+ pt1.y = pt2.y = (float)i * draw_size / number_of_lines;
+ cvLine(img, pt1, pt2, CV_RGB(224, 224, 224), 1, 8, 0);
+ if (i % 10 == 0) {
+ sprintf(char_buff, "%2.1f", max_img_loss*(number_of_lines - i) / number_of_lines);
+ pt_text.y = pt1.y + 5;
+ cvPutText(img, char_buff, pt_text, &font, CV_RGB(0, 0, 0));
+ cvLine(img, pt1, pt2, CV_RGB(128, 128, 128), 1, 8, 0);
+ }
+ }
+ // horizontal lines
+ pt1.y = draw_size; pt2.y = 0, pt_text.y = draw_size + 15;
+ for (i = 0; i <= number_of_lines; ++i) {
+ pt1.x = pt2.x = img_offset + (float)i * draw_size / number_of_lines;
+ cvLine(img, pt1, pt2, CV_RGB(224, 224, 224), 1, 8, 0);
+ if (i % 10 == 0) {
+ sprintf(char_buff, "%d", max_batches * i / number_of_lines);
+ pt_text.x = pt1.x - 20;
+ cvPutText(img, char_buff, pt_text, &font, CV_RGB(0, 0, 0));
+ cvLine(img, pt1, pt2, CV_RGB(128, 128, 128), 1, 8, 0);
+ }
+ }
+ cvPutText(img, "Iteration number", cvPoint(draw_size / 2, img_size - 10), &font, CV_RGB(0, 0, 0));
+ cvPutText(img, "Press 's' to save: chart.jpg", cvPoint(5, img_size - 10), &font, CV_RGB(0, 0, 0));
+ printf(" If error occurs - run training with flag: -dont_show \n");
+ cvNamedWindow("average loss", CV_WINDOW_NORMAL);
+ cvMoveWindow("average loss", 0, 0);
+ cvResizeWindow("average loss", img_size, img_size);
+ cvShowImage("average loss", img);
+ cvWaitKey(20);
+ return img;
+}
+
+void draw_train_loss(IplImage* img, int img_size, float avg_loss, float max_img_loss, int current_batch, int max_batches)
+{
+ int img_offset = 50;
+ int draw_size = img_size - img_offset;
+ CvFont font;
+ cvInitFont(&font, CV_FONT_HERSHEY_COMPLEX_SMALL, 0.7, 0.7, 0, 1, CV_AA);
+ char char_buff[100];
+ CvPoint pt1, pt2;
+ pt1.x = img_offset + draw_size * (float)current_batch / max_batches;
+ pt1.y = draw_size * (1 - avg_loss / max_img_loss);
+ if (pt1.y < 0) pt1.y = 1;
+ cvCircle(img, pt1, 1, CV_RGB(0, 0, 255), CV_FILLED, 8, 0);
+
+ sprintf(char_buff, "current avg loss = %2.4f", avg_loss);
+ pt1.x = img_size / 2, pt1.y = 30;
+ pt2.x = pt1.x + 250, pt2.y = pt1.y + 20;
+ cvRectangle(img, pt1, pt2, CV_RGB(255, 255, 255), CV_FILLED, 8, 0);
+ pt1.y += 15;
+ cvPutText(img, char_buff, pt1, &font, CV_RGB(0, 0, 0));
+ cvShowImage("average loss", img);
+ int k = cvWaitKey(20);
+ if (k == 's' || current_batch == (max_batches-1)) cvSaveImage("chart.jpg", img, 0);
+}
+#endif // OPENCV
+
+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)
{
@@ -213,6 +798,26 @@
void normalize_image(image p)
{
+ int i;
+ float min = 9999999;
+ float max = -999999;
+
+ for(i = 0; i < p.h*p.w*p.c; ++i){
+ float v = p.data[i];
+ if(v < min) min = v;
+ if(v > max) max = v;
+ }
+ if(max - min < .000000001){
+ min = 0;
+ max = 1;
+ }
+ for(i = 0; i < p.c*p.w*p.h; ++i){
+ p.data[i] = (p.data[i] - min)/(max-min);
+ }
+}
+
+void normalize_image2(image p)
+{
float *min = calloc(p.c, sizeof(float));
float *max = calloc(p.c, sizeof(float));
int i,j;
@@ -285,7 +890,6 @@
}
free_image(copy);
if(0){
- //if(disp->height < 448 || disp->width < 448 || disp->height > 1000){
int w = 448;
int h = w*p.h/p.w;
if(h > 1000){
@@ -298,8 +902,23 @@
cvReleaseImage(&buffer);
}
cvShowImage(buff, disp);
+
cvReleaseImage(&disp);
}
+
+
+void show_image_cv_ipl(IplImage *disp, const char *name)
+{
+ if (disp == NULL) return;
+ char buff[256];
+ //sprintf(buff, "%s (%d)", name, windows);
+ sprintf(buff, "%s", name);
+ cvNamedWindow(buff, CV_WINDOW_NORMAL);
+ //cvMoveWindow(buff, 100*(windows%10) + 200*(windows/10), 100*(windows%10));
+ ++windows;
+ cvShowImage(buff, disp);
+ //cvReleaseImage(&disp);
+}
#endif
void show_image(image p, const char *name)
@@ -312,28 +931,122 @@
#endif
}
-void save_image(image im, const char *name)
+#ifdef OPENCV
+
+image ipl_to_image(IplImage* src)
{
- char buff[256];
- //sprintf(buff, "%s (%d)", name, windows);
- sprintf(buff, "%s.png", name);
- unsigned char *data = calloc(im.w*im.h*im.c, sizeof(char));
- int i,k;
- for(k = 0; k < im.c; ++k){
- for(i = 0; i < im.w*im.h; ++i){
- data[i*im.c+k] = (unsigned char) (255*im.data[i + k*im.w*im.h]);
+ unsigned char *data = (unsigned char *)src->imageData;
+ int h = src->height;
+ int w = src->width;
+ int c = src->nChannels;
+ int step = src->widthStep;
+ image out = make_image(w, h, c);
+ int i, j, k, count=0;;
+
+ for(k= 0; k < c; ++k){
+ for(i = 0; i < h; ++i){
+ for(j = 0; j < w; ++j){
+ out.data[count++] = data[i*step + j*c + k]/255.;
+ }
}
}
- 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);
+ return out;
}
-#ifdef OPENCV
-void save_image_jpg(image p, char *name)
+image load_image_cv(char *filename, int channels)
+{
+ IplImage* src = 0;
+ int flag = -1;
+ if (channels == 0) flag = 1;
+ else if (channels == 1) flag = 0;
+ else if (channels == 3) flag = 1;
+ else {
+ fprintf(stderr, "OpenCV can't force load with %d channels\n", channels);
+ }
+
+ if( (src = cvLoadImage(filename, flag)) == 0 )
+ {
+ fprintf(stderr, "Cannot load image \"%s\"\n", filename);
+ char buff[256];
+ sprintf(buff, "echo %s >> bad.list", filename);
+ system(buff);
+ return make_image(10,10,3);
+ //exit(EXIT_FAILURE);
+ }
+ image out = ipl_to_image(src);
+ cvReleaseImage(&src);
+ if (out.c > 1)
+ rgbgr_image(out);
+ return out;
+}
+
+image get_image_from_stream(CvCapture *cap)
+{
+ IplImage* src = cvQueryFrame(cap);
+ if (!src) return make_empty_image(0,0,0);
+ image im = ipl_to_image(src);
+ rgbgr_image(im);
+ return im;
+}
+
+image get_image_from_stream_cpp(CvCapture *cap)
+{
+ //IplImage* src = cvQueryFrame(cap);
+ IplImage* src;
+ static int once = 1;
+ if (once) {
+ once = 0;
+ do {
+ src = get_webcam_frame(cap);
+ if (!src) return make_empty_image(0, 0, 0);
+ } while (src->width < 1 || src->height < 1 || src->nChannels < 1);
+ printf("Video stream: %d x %d \n", src->width, src->height);
+ }
+ else
+ src = get_webcam_frame(cap);
+
+ if (!src) return make_empty_image(0, 0, 0);
+ image im = ipl_to_image(src);
+ rgbgr_image(im);
+ return im;
+}
+
+image get_image_from_stream_resize(CvCapture *cap, int w, int h, int c, IplImage** in_img, int cpp_video_capture)
+{
+ c = c ? c : 3;
+ IplImage* src;
+ if (cpp_video_capture) {
+ static int once = 1;
+ if (once) {
+ once = 0;
+ do {
+ src = get_webcam_frame(cap);
+ if (!src) return make_empty_image(0, 0, 0);
+ } while (src->width < 1 || src->height < 1 || src->nChannels < 1);
+ printf("Video stream: %d x %d \n", src->width, src->height);
+ } else
+ src = get_webcam_frame(cap);
+ }
+ else src = cvQueryFrame(cap);
+
+ if (!src) return make_empty_image(0, 0, 0);
+ if (src->width < 1 || src->height < 1 || src->nChannels < 1) return make_empty_image(0, 0, 0);
+ IplImage* new_img = cvCreateImage(cvSize(w, h), IPL_DEPTH_8U, c);
+ *in_img = cvCreateImage(cvSize(src->width, src->height), IPL_DEPTH_8U, c);
+ cvResize(src, *in_img, CV_INTER_LINEAR);
+ cvResize(src, new_img, CV_INTER_LINEAR);
+ image im = ipl_to_image(new_img);
+ cvReleaseImage(&new_img);
+ if (cpp_video_capture) cvReleaseImage(&src);
+ if (c>1)
+ rgbgr_image(im);
+ return im;
+}
+
+void save_image_jpg(image p, const char *name)
{
image copy = copy_image(p);
- rgbgr_image(copy);
+ if(p.c == 3) rgbgr_image(copy);
int x,y,k;
char buff[256];
@@ -354,6 +1067,33 @@
}
#endif
+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 = calloc(im.w*im.h*im.c, sizeof(char));
+ int i,k;
+ for(k = 0; k < im.c; ++k){
+ for(i = 0; i < im.w*im.h; ++i){
+ data[i*im.c+k] = (unsigned char) (255*im.data[i + k*im.w*im.h]);
+ }
+ }
+ int success = 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(image im, const char *name)
+{
+#ifdef OPENCV
+ save_image_jpg(im, name);
+#else
+ save_image_png(im, name);
+#endif
+}
+
+
void show_image_layers(image p, char *name)
{
int i;
@@ -408,6 +1148,26 @@
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;
@@ -449,6 +1209,8 @@
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);
}
@@ -459,6 +1221,179 @@
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) * TWO_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) ;
@@ -487,7 +1422,7 @@
v = max;
if(max == 0){
s = 0;
- h = -1;
+ h = 0;
}else{
s = delta/max;
if(r == max){
@@ -498,6 +1433,7 @@
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);
@@ -515,7 +1451,7 @@
float f, p, q, t;
for(j = 0; j < im.h; ++j){
for(i = 0; i < im.w; ++i){
- h = get_pixel(im, i , j, 0);
+ 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) {
@@ -602,6 +1538,29 @@
}
}
+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);
@@ -610,6 +1569,19 @@
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);
@@ -618,6 +1590,36 @@
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);
@@ -627,23 +1629,6 @@
constrain_image(im);
}
-/*
- image saturate_image(image im, float sat)
- {
- image gray = grayscale_image(im);
- image blend = blend_image(im, gray, sat);
- free_image(gray);
- constrain_image(blend);
- return blend;
- }
-
- image brightness_image(image im, float b)
- {
- image bright = make_image(im.w, im.h, im.c);
- return bright;
- }
- */
-
float bilinear_interpolate(image im, float x, float y, int c)
{
int ix = (int) floorf(x);
@@ -703,7 +1688,6 @@
return resized;
}
-#include "cuda.h"
void test_resize(char *filename)
{
@@ -712,93 +1696,48 @@
printf("L2 Norm: %f\n", mag);
image gray = grayscale_image(im);
- image sat2 = copy_image(im);
- saturate_image(sat2, 2);
+ 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);
- image sat5 = copy_image(im);
- saturate_image(sat5, .5);
- image exp2 = copy_image(im);
- exposure_image(exp2, 2);
-
- image exp5 = copy_image(im);
- exposure_image(exp5, .5);
-
- #ifdef GPU
- image r = resize_image(im, im.w, im.h);
- image black = make_image(im.w*2 + 3, im.h*2 + 3, 9);
- image black2 = make_image(im.w, im.h, 3);
-
- float *r_gpu = cuda_make_array(r.data, r.w*r.h*r.c);
- float *black_gpu = cuda_make_array(black.data, black.w*black.h*black.c);
- float *black2_gpu = cuda_make_array(black2.data, black2.w*black2.h*black2.c);
- shortcut_gpu(3, r.w, r.h, 1, r_gpu, black.w, black.h, 3, black_gpu);
- //flip_image(r);
- //shortcut_gpu(3, r.w, r.h, 1, r.data, black.w, black.h, 3, black.data);
-
- shortcut_gpu(3, black.w, black.h, 3, black_gpu, black2.w, black2.h, 1, black2_gpu);
- cuda_pull_array(black_gpu, black.data, black.w*black.h*black.c);
- cuda_pull_array(black2_gpu, black2.data, black2.w*black2.h*black2.c);
- show_image_layers(black, "Black");
- show_image(black2, "Recreate");
- #endif
-
- show_image(im, "Original");
+ show_image(im, "Original");
show_image(gray, "Gray");
- show_image(sat2, "Saturation-2");
- show_image(sat5, "Saturation-.5");
- show_image(exp2, "Exposure-2");
- show_image(exp5, "Exposure-.5");
+ show_image(c1, "C1");
+ show_image(c2, "C2");
+ show_image(c3, "C3");
+ show_image(c4, "C4");
#ifdef OPENCV
- cvWaitKey(0);
+ 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);
+ cvWaitKey(0);
+ }
#endif
}
-#ifdef OPENCV
-image ipl_to_image(IplImage* src)
-{
- unsigned char *data = (unsigned char *)src->imageData;
- int h = src->height;
- int w = src->width;
- int c = src->nChannels;
- int step = src->widthStep;
- image out = make_image(w, h, c);
- int i, j, k, count=0;;
-
- for(k= 0; k < c; ++k){
- for(i = 0; i < h; ++i){
- for(j = 0; j < w; ++j){
- out.data[count++] = data[i*step + j*c + k]/255.;
- }
- }
- }
- return out;
-}
-
-image load_image_cv(char *filename, int channels)
-{
- IplImage* src = 0;
- int flag = -1;
- if (channels == 0) flag = -1;
- else if (channels == 1) flag = 0;
- else if (channels == 3) flag = 1;
- else {
- fprintf(stderr, "OpenCV can't force load with %d channels\n", channels);
- }
-
- if( (src = cvLoadImage(filename, flag)) == 0 )
- {
- printf("Cannot load image \"%s\"\n", filename);
- exit(0);
- }
- image out = ipl_to_image(src);
- cvReleaseImage(&src);
- rgbgr_image(out);
- return out;
-}
-
-#endif
-
image load_image_stb(char *filename, int channels)
{
@@ -806,7 +1745,11 @@
unsigned char *data = stbi_load(filename, &w, &h, &c, channels);
if (!data) {
fprintf(stderr, "Cannot load image \"%s\"\nSTB Reason: %s\n", filename, stbi_failure_reason());
- exit(0);
+ char buff[256];
+ sprintf(buff, "echo %s >> bad.list", filename);
+ system(buff);
+ return make_image(10, 10, 3);
+ //exit(EXIT_FAILURE);
}
if(channels) c = channels;
int i,j,k;
@@ -827,9 +1770,16 @@
image load_image(char *filename, int w, int h, int c)
{
#ifdef OPENCV
- image out = load_image_cv(filename, c);
+
+#ifndef CV_VERSION_EPOCH
+ //image out = load_image_stb(filename, c); // OpenCV 3.x
+ image out = load_image_cv(filename, c);
#else
- image out = load_image_stb(filename, c);
+ image out = load_image_cv(filename, c); // OpenCV 2.4.x
+#endif
+
+#else
+ image out = load_image_stb(filename, c); // without OpenCV
#endif
if((h && w) && (h != out.h || w != out.w)){
@@ -855,27 +1805,6 @@
return out;
}
-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];
-}
-float get_pixel_extend(image m, int x, int y, int c)
-{
- if(x < 0 || x >= m.w || y < 0 || y >= m.h || c < 0 || c >= m.c) return 0;
- return get_pixel(m, x, y, c);
-}
-void set_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 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 print_image(image m)
{
int i, j, k;
@@ -964,6 +1893,14 @@
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);
@@ -977,14 +1914,14 @@
image sized = resize_image(m, w, h);
*/
normalize_image(m);
- image sized = resize_image(m, m.w, m.h);
- save_image(sized, window);
- show_image(sized, window);
- free_image(sized);
+ save_image(m, window);
+ show_image(m, window);
free_image(m);
}
void free_image(image m)
{
- free(m.data);
+ if(m.data){
+ free(m.data);
+ }
}
--
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