From ae9fb2abbd8e2b7e079b56bf1cf39754d7c091ac Mon Sep 17 00:00:00 2001
From: Nadeen Udantha <udanthan@gmail.com>
Date: Fri, 18 May 2018 08:49:19 +0000
Subject: [PATCH] ojbects -> objects
---
src/image.c | 135 +++++++++++++++++++++++++++++++++++---------
1 files changed, 107 insertions(+), 28 deletions(-)
diff --git a/src/image.c b/src/image.c
index a02e900..317b246 100644
--- a/src/image.c
+++ b/src/image.c
@@ -13,6 +13,7 @@
#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"
@@ -229,27 +230,80 @@
return alphabets;
}
-void draw_detections_v3(image im, detection *dets, int num, float thresh, char **names, image **alphabet, int classes)
-{
- int i, j;
- 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%%\n", names[j], dets[i].prob[j] * 100);
+
+// 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 (class_id >= 0) {
+ 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: %.0f \ttop: %.0f \tw: %0.f \th: %0.f)\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;
@@ -261,8 +315,8 @@
}
*/
- //printf("%d %s: %.0f%%\n", i, names[class_id], prob*100);
- int offset = class_id * 123457 % classes;
+ //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);
@@ -273,7 +327,7 @@
rgb[0] = red;
rgb[1] = green;
rgb[2] = blue;
- box b = dets[i].bbox;
+ 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;
@@ -294,12 +348,21 @@
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 (dets[i].mask) {
- image mask = float_to_image(14, 14, 1, dets[i].mask);
+ 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);
@@ -307,8 +370,8 @@
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)
@@ -887,7 +950,7 @@
sprintf(buff, "echo %s >> bad.list", filename);
system(buff);
return make_image(10,10,3);
- //exit(0);
+ //exit(EXIT_FAILURE);
}
image out = ipl_to_image(src);
cvReleaseImage(&src);
@@ -904,19 +967,31 @@
return im;
}
-image get_image_from_stream_resize(CvCapture *cap, int w, int h, IplImage** in_img, int use_webcam)
+image get_image_from_stream_resize(CvCapture *cap, int w, int h, IplImage** in_img, int cpp_video_capture)
{
IplImage* src;
- if (use_webcam) src = get_webcam_frame(cap);
+ 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);
+ } 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, 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;
}
@@ -1616,7 +1691,11 @@
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;
--
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