From fe4f01b1d8cce9762e47aaf42b6e17a3427a144b Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Tue, 20 Mar 2018 19:10:46 +0000
Subject: [PATCH] Fixed uses of WebCam for OpenCV 3.x
---
src/image.c | 198 +++++++++++++++++++++++++++++++++++++++----------
1 files changed, 158 insertions(+), 40 deletions(-)
diff --git a/src/image.c b/src/image.c
index 35bd8a0..84919eb 100644
--- a/src/image.c
+++ b/src/image.c
@@ -16,10 +16,12 @@
#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} };
@@ -186,10 +188,18 @@
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){
+ //// 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){
@@ -197,8 +207,7 @@
alphabet = 0;
}
- printf("%s: %.0f%%\n", names[class], prob*100);
- int offset = class*123457 % classes;
+ 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);
@@ -220,10 +229,15 @@
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], (im.h*.03)/10);
+ image label = get_label(alphabet, names[class_id], (im.h*.03)/10);
draw_label(im, top + width, left, label, rgb);
}
}
@@ -236,8 +250,8 @@
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 = show_img->height * .012;
@@ -247,8 +261,8 @@
alphabet = 0;
}
- printf("%s: %.0f%%\n", names[class], prob * 100);
- int offset = class * 123457 % classes;
+ 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);
@@ -289,18 +303,88 @@
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], pt_text, &font, black_color);
+ cvPutText(show_img, names[class_id], pt_text, &font, black_color);
}
}
}
-#endif
+
+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') cvSaveImage("chart.jpg", img, 0);
+}
+#endif // OPENCV
void transpose_image(image im)
{
@@ -528,28 +612,7 @@
//cvMoveWindow(buff, 100*(windows%10) + 200*(windows/10), 100*(windows%10));
++windows;
cvShowImage(buff, disp);
-
-
- {
- CvSize size;
- {
- size.width = disp->width, size.height = disp->height;
- }
-
- static CvVideoWriter* output_video = NULL; // cv::VideoWriter output_video;
- if (output_video == NULL)
- {
- const char* output_name = "test_dnn_out.avi";
- //output_video = cvCreateVideoWriter(output_name, CV_FOURCC('H', '2', '6', '4'), 25, size, 1);
- output_video = cvCreateVideoWriter(output_name, CV_FOURCC('D', 'I', 'V', 'X'), 25, size, 1);
- //output_video = cvCreateVideoWriter(output_name, CV_FOURCC('M', 'J', 'P', 'G'), 25, size, 1);
- }
-
- cvWriteFrame(output_video, disp); // comment this line to improve FPS !!!
- printf("\n cvWriteFrame \n");
- }
-
- cvReleaseImage(&disp);
+ //cvReleaseImage(&disp);
}
#endif
@@ -620,9 +683,12 @@
return im;
}
-image get_image_from_stream_resize(CvCapture *cap, int w, int h, IplImage** in_img)
+image get_image_from_stream_resize(CvCapture *cap, int w, int h, IplImage** in_img, int use_webcam)
{
- IplImage* src = cvQueryFrame(cap);
+ IplImage* src;
+ if (use_webcam) src = get_webcam_frame(cap);
+ else src = cvQueryFrame(cap);
+
if (!src) 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);
@@ -879,6 +945,51 @@
#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;
@@ -1153,7 +1264,7 @@
void random_distort_image(image im, float hue, float saturation, float exposure)
{
- float dhue = rand_uniform(-hue, hue);
+ float dhue = rand_uniform_strong(-hue, hue);
float dsat = rand_scale(saturation);
float dexp = rand_scale(exposure);
distort_image(im, dhue, dsat, dexp);
@@ -1305,9 +1416,16 @@
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)){
--
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