From 5a47c46b39475fc3581b9819f488b977ea1beca3 Mon Sep 17 00:00:00 2001
From: Edmond Yoo <hj3yoo@uwaterloo.ca>
Date: Sun, 16 Sep 2018 03:11:04 +0000
Subject: [PATCH] Moving files from MTGCardDetector
---
src/image.c | 1073 ++++++++++++++++++++++++++++++++---------------------------
1 files changed, 582 insertions(+), 491 deletions(-)
diff --git a/src/image.c b/src/image.c
index 7545e7d..7cf3dc0 100644
--- a/src/image.c
+++ b/src/image.c
@@ -40,31 +40,31 @@
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];
+ 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);
+ 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;
+ 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;
+ 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)
@@ -102,7 +102,7 @@
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);
+ embed_image(a, c, 0, 0);
composite_image(b, c, a.w + dx, 0);
return c;
}
@@ -125,19 +125,19 @@
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;
+ 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)
@@ -235,143 +235,143 @@
// 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;
+ 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;
+ 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
+// 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;
+ 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);
+ 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);
- }
- }
- }
+ // 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;
+ // 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;
- }
- */
+ /*
+ 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];
+ //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;
+ //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);
+ 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;
+ 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;
+ 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);
+ //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);
+ 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)
@@ -383,13 +383,13 @@
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");
+ //// 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;
@@ -420,12 +420,12 @@
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("%s: %.0f%%", names[class_id], prob * 100);
- printf("\n");
+ //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);
@@ -439,257 +439,265 @@
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++;
+ 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;
+ 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;
- //}
+ //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];
+ //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;
+ //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);
+ rgb[0] = red;
+ rgb[1] = green;
+ rgb[2] = blue;
+ box b = dets[i].bbox;
+ b.w = (b.w < 1) ? b.w : 1;
+ b.h = (b.h < 1) ? b.h : 1;
+ b.x = (b.x < 1) ? b.x : 1;
+ b.y = (b.y < 1) ? b.y : 1;
+ //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;
+ 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;
+ 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);
+ //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;
+ 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);
+ // 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);
- }
- }
+ 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);
+ }
+ }
+ if (ext_output) {
+ fflush(stdout);
+ }
}
void draw_detections_cv(IplImage* show_img, int num, float thresh, box *boxes, float **probs, char **names, image **alphabet, int classes)
{
- int i;
+ 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 (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;
+ int width = show_img->height * .012;
- if (0) {
- width = pow(prob, 1. / 2.) * 10 + 1;
- alphabet = 0;
- }
+ 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];
+ 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;
+ //width = prob*20+2;
- rgb[0] = red;
- rgb[1] = green;
- rgb[2] = blue;
- box b = boxes[i];
+ 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;
+ 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;
+ 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;
+ 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);
- }
- }
+ 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;
+ 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);
+ 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);
+ 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
+#endif // OPENCV
void transpose_image(image im)
{
@@ -878,7 +886,7 @@
IplImage *disp = cvCreateImage(cvSize(p.w,p.h), IPL_DEPTH_8U, p.c);
int step = disp->widthStep;
- cvNamedWindow(buff, CV_WINDOW_NORMAL);
+ cvNamedWindow(buff, CV_WINDOW_NORMAL);
//cvMoveWindow(buff, 100*(windows%10) + 200*(windows/10), 100*(windows%10));
++windows;
for(y = 0; y < p.h; ++y){
@@ -909,15 +917,15 @@
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);
+ 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
@@ -957,7 +965,7 @@
{
IplImage* src = 0;
int flag = -1;
- if (channels == 0) flag = -1;
+ if (channels == 0) flag = 1;
else if (channels == 1) flag = 0;
else if (channels == 3) flag = 1;
else {
@@ -966,16 +974,22 @@
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);
+ 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\"\n", shrinked_filename);
+ 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);
return make_image(10,10,3);
//exit(EXIT_FAILURE);
}
image out = ipl_to_image(src);
cvReleaseImage(&src);
- rgbgr_image(out);
+ if (out.c > 1)
+ rgbgr_image(out);
return out;
}
@@ -990,54 +1004,119 @@
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);
+ //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;
+ 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, IplImage** in_img, int cpp_video_capture)
-{
- 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);
+int wait_for_stream(CvCapture *cap, IplImage* src, int dont_close) {
+ if (!src) {
+ if (dont_close) src = cvCreateImage(cvSize(416, 416), IPL_DEPTH_8U, 3);
+ else return 0;
+ }
+ if (src->width < 1 || src->height < 1 || src->nChannels < 1) {
+ if (dont_close) {
+ cvReleaseImage(&src);
+ int z = 0;
+ for (z = 0; z < 20; ++z) {
+ get_webcam_frame(cap);
+ cvReleaseImage(&src);
+ }
+ src = cvCreateImage(cvSize(416, 416), IPL_DEPTH_8U, 3);
+ }
+ else return 0;
+ }
+ return 1;
+}
- 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, 3);
- *in_img = cvCreateImage(cvSize(src->width, src->height), IPL_DEPTH_8U, 3);
- 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);
- 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, int dont_close)
+{
+ 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 (cpp_video_capture)
+ if(!wait_for_stream(cap, src, dont_close)) 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;
+}
+
+image get_image_from_stream_letterbox(CvCapture *cap, int w, int h, int c, IplImage** in_img, int cpp_video_capture, int dont_close)
+{
+ 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 (cpp_video_capture)
+ if (!wait_for_stream(cap, src, dont_close)) return make_empty_image(0, 0, 0);
+ *in_img = cvCreateImage(cvSize(src->width, src->height), IPL_DEPTH_8U, c);
+ cvResize(src, *in_img, CV_INTER_LINEAR);
+ image tmp = ipl_to_image(src);
+ image im = letterbox_image(tmp, w, h);
+ free_image(tmp);
+ if (cpp_video_capture) cvReleaseImage(&src);
+ if (c>1) rgbgr_image(im);
+ return im;
+}
+
+int get_stream_fps(CvCapture *cap, int cpp_video_capture)
+{
+ int fps = 25;
+ if (cpp_video_capture) {
+ fps = get_stream_fps_cpp(cap);
+ }
+ else {
+ fps = cvGetCaptureProperty(cap, CV_CAP_PROP_FPS);
+ }
+ return fps;
}
void save_image_jpg(image p, const char *name)
@@ -1287,47 +1366,47 @@
void fill_image(image m, float s)
{
- int i;
- for (i = 0; i < m.h*m.w*m.c; ++i) m.data[i] = 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);
+ 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;
+ 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)
@@ -1514,7 +1593,7 @@
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) +
+ float val = alpha * get_pixel(fore, i, j, k) +
(1 - alpha)* get_pixel(back, i, j, k);
set_pixel(blend, i, j, k, val);
}
@@ -1589,16 +1668,23 @@
void distort_image(image im, float hue, float sat, float val)
{
- rgb_to_hsv(im);
- scale_image_channel(im, 1, sat);
- scale_image_channel(im, 2, val);
- int i;
- for(i = 0; i < im.w*im.h; ++i){
- im.data[i] = im.data[i] + hue;
- if (im.data[i] > 1) im.data[i] -= 1;
- if (im.data[i] < 0) im.data[i] += 1;
+ 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);
}
- hsv_to_rgb(im);
+ else
+ {
+ scale_image_channel(im, 0, val);
+ }
constrain_image(im);
}
@@ -1627,8 +1713,8 @@
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) +
+ 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;
@@ -1636,7 +1722,7 @@
image resize_image(image im, int w, int h)
{
- image resized = make_image(w, h, im.c);
+ 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);
@@ -1734,11 +1820,16 @@
int w, h, c;
unsigned char *data = stbi_load(filename, &w, &h, &c, channels);
if (!data) {
- fprintf(stderr, "Cannot load image \"%s\"\nSTB Reason: %s\n", filename, stbi_failure_reason());
- char buff[256];
- sprintf(buff, "echo %s >> bad.list", filename);
- system(buff);
- return make_image(10, 10, 3);
+ 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);
+ return make_image(10, 10, 3);
//exit(EXIT_FAILURE);
}
if(channels) c = channels;
@@ -1762,14 +1853,14 @@
#ifdef OPENCV
#ifndef CV_VERSION_EPOCH
- //image out = load_image_stb(filename, c); // OpenCV 3.x
- image out = load_image_cv(filename, c);
+ //image out = load_image_stb(filename, c); // OpenCV 3.x
+ image out = load_image_cv(filename, c);
#else
- image out = load_image_cv(filename, c); // OpenCV 2.4.x
+ image out = load_image_cv(filename, c); // OpenCV 2.4.x
#endif
#else
- image out = load_image_stb(filename, c); // without OpenCV
+ image out = load_image_stb(filename, c); // without OpenCV
#endif
if((h && w) && (h != out.h || w != out.w)){
@@ -1845,7 +1936,7 @@
free_image(copy);
}
return filters;
-}
+}
image collapse_images_horz(image *ims, int n)
{
@@ -1881,7 +1972,7 @@
free_image(copy);
}
return filters;
-}
+}
void show_image_normalized(image im, const char *name)
{
--
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