From 84d6533cb8112f23a34d3de76435a10f4620f4b8 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Mon, 23 Oct 2017 13:43:03 +0000
Subject: [PATCH] Fixed OpenCV usage in the yolo_console_dll.cpp
---
src/image.c | 1662 +++++++++++++++++++++++++++++++++++++++++-----------------
1 files changed, 1,161 insertions(+), 501 deletions(-)
diff --git a/src/image.c b/src/image.c
index 53cf281..75364e1 100644
--- a/src/image.c
+++ b/src/image.c
@@ -1,6 +1,24 @@
#include "image.h"
#include "utils.h"
+#include "blas.h"
+#include "cuda.h"
#include <stdio.h>
+#include <math.h>
+
+#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/version.hpp"
+#ifndef CV_VERSION_EPOCH
+#include "opencv2/videoio/videoio_c.h"
+#endif
+#endif
+
int windows = 0;
@@ -13,13 +31,86 @@
int j = ceil(ratio);
ratio -= i;
float r = (1-ratio) * colors[i][c] + ratio*colors[j][c];
- printf("%f\n", r);
+ //printf("%f\n", r);
return r;
}
+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;
+}
+
+void draw_label(image a, int r, int c, image label, const float *rgb)
+{
+ int w = label.w;
+ int h = label.h;
+ if (r - h >= 0) r = r - h;
+
+ int i, j, k;
+ for(j = 0; j < h && j + r < a.h; ++j){
+ for(i = 0; i < w && i + c < a.w; ++i){
+ for(k = 0; k < label.c; ++k){
+ float val = get_pixel(label, i, j, k);
+ set_pixel(a, i+c, j+r, k, rgb[k] * val);
+ }
+ }
+ }
+}
+
void draw_box(image a, int x1, int y1, int x2, int y2, float r, float g, float b)
{
- normalize_image(a);
+ //normalize_image(a);
int i;
if(x1 < 0) x1 = 0;
if(x1 >= a.w) x1 = a.w-1;
@@ -31,38 +122,218 @@
if(y2 < 0) y2 = 0;
if(y2 >= a.h) y2 = a.h-1;
- for(i = x1; i < x2; ++i){
- a.data[i + y1*a.w + 0*a.w*a.h] = b;
- a.data[i + y2*a.w + 0*a.w*a.h] = b;
+ for(i = x1; i <= x2; ++i){
+ a.data[i + y1*a.w + 0*a.w*a.h] = r;
+ a.data[i + y2*a.w + 0*a.w*a.h] = r;
a.data[i + y1*a.w + 1*a.w*a.h] = g;
a.data[i + y2*a.w + 1*a.w*a.h] = g;
- a.data[i + y1*a.w + 2*a.w*a.h] = r;
- a.data[i + y2*a.w + 2*a.w*a.h] = r;
+ a.data[i + y1*a.w + 2*a.w*a.h] = b;
+ a.data[i + y2*a.w + 2*a.w*a.h] = b;
}
- for(i = y1; i < y2; ++i){
- a.data[x1 + i*a.w + 0*a.w*a.h] = b;
- a.data[x2 + i*a.w + 0*a.w*a.h] = b;
+ for(i = y1; i <= y2; ++i){
+ a.data[x1 + i*a.w + 0*a.w*a.h] = r;
+ a.data[x2 + i*a.w + 0*a.w*a.h] = r;
a.data[x1 + i*a.w + 1*a.w*a.h] = g;
a.data[x2 + i*a.w + 1*a.w*a.h] = g;
- a.data[x1 + i*a.w + 2*a.w*a.h] = r;
- a.data[x2 + i*a.w + 2*a.w*a.h] = r;
+ a.data[x1 + i*a.w + 2*a.w*a.h] = b;
+ a.data[x2 + i*a.w + 2*a.w*a.h] = b;
}
}
-void jitter_image(image a, int h, int w, int dh, int dw)
+void draw_box_width(image a, int x1, int y1, int x2, int y2, int w, float r, float g, float b)
{
- int i,j,k;
- for(k = 0; k < a.c; ++k){
- for(i = 0; i < h; ++i){
- for(j = 0; j < w; ++j){
- int src = j + dw + (i+dh)*a.w + k*a.w*a.h;
- int dst = j + i*w + k*w*h;
- //printf("%d %d\n", src, dst);
- a.data[dst] = a.data[src];
+ int i;
+ for(i = 0; i < w; ++i){
+ draw_box(a, x1+i, y1+i, x2-i, y2-i, r, g, b);
+ }
+}
+
+void draw_bbox(image a, box bbox, int w, float r, float g, float b)
+{
+ int left = (bbox.x-bbox.w/2)*a.w;
+ int right = (bbox.x+bbox.w/2)*a.w;
+ int top = (bbox.y-bbox.h/2)*a.h;
+ int bot = (bbox.y+bbox.h/2)*a.h;
+
+ int i;
+ for(i = 0; i < w; ++i){
+ draw_box(a, left+i, top+i, right-i, bot-i, r, g, b);
+ }
+}
+
+image **load_alphabet()
+{
+ int i, j;
+ const int nsize = 8;
+ image **alphabets = 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;
+}
+
+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];
+ if(prob > thresh){
+
+ int width = im.h * .012;
+
+ if(0){
+ width = pow(prob, 1./2.)*10+1;
+ alphabet = 0;
+ }
+
+ printf("%s: %.0f%%\n", names[class], prob*100);
+ int offset = 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 = boxes[i];
+
+ int left = (b.x-b.w/2.)*im.w;
+ int right = (b.x+b.w/2.)*im.w;
+ int top = (b.y-b.h/2.)*im.h;
+ int bot = (b.y+b.h/2.)*im.h;
+
+ if(left < 0) left = 0;
+ if(right > im.w-1) right = im.w-1;
+ if(top < 0) top = 0;
+ if(bot > im.h-1) bot = im.h-1;
+
+ 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);
+ draw_label(im, top + width, left, label, rgb);
+ }
+ }
+ }
+}
+
+#ifdef OPENCV
+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 = max_index(probs[i], classes);
+ float prob = probs[i][class];
+ 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], prob * 100);
+ int offset = 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 = 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);
+
+ 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);
+ }
+ }
+}
+#endif
+
+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;
+ }
}
}
}
@@ -87,7 +358,7 @@
image image_distance(image a, image b)
{
int i,j;
- image dist = make_image(a.h, a.w, 1);
+ image dist = make_image(a.w, a.h, 1);
for(i = 0; i < a.c; ++i){
for(j = 0; j < a.h*a.w; ++j){
dist.data[j] += pow(a.data[i*a.h*a.w+j]-b.data[i*a.h*a.w+j],2);
@@ -99,20 +370,14 @@
return dist;
}
-void subtract_image(image a, image b)
+void embed_image(image source, image dest, int dx, int dy)
{
- int i;
- for(i = 0; i < a.h*a.w*a.c; ++i) a.data[i] -= b.data[i];
-}
-
-void embed_image(image source, image dest, int h, int w)
-{
- int i,j,k;
+ int x,y,k;
for(k = 0; k < source.c; ++k){
- for(i = 0; i < source.h; ++i){
- for(j = 0; j < source.w; ++j){
- float val = get_pixel(source, i,j,k);
- set_pixel(dest, h+i, w+j, k, val);
+ for(y = 0; y < source.h; ++y){
+ for(x = 0; x < source.w; ++x){
+ float val = get_pixel(source, x,y,k);
+ set_pixel(dest, dx+x, dy+y, k, val);
}
}
}
@@ -122,24 +387,48 @@
{
int h = source.h;
h = (h+border)*source.c - border;
- image dest = make_image(h, source.w, 1);
+ image dest = make_image(source.w, h, 1);
int i;
for(i = 0; i < source.c; ++i){
image layer = get_image_layer(source, i);
int h_offset = i*(source.h+border);
- embed_image(layer, dest, h_offset, 0);
+ embed_image(layer, dest, 0, h_offset);
free_image(layer);
}
return dest;
}
-void z_normalize_image(image p)
+void constrain_image(image im)
{
- normalize_array(p.data, p.h*p.w*p.c);
+ int i;
+ for(i = 0; i < im.w*im.h*im.c; ++i){
+ if(im.data[i] < 0) im.data[i] = 0;
+ if(im.data[i] > 1) im.data[i] = 1;
+ }
}
void normalize_image(image p)
{
+ int i;
+ float min = 9999999;
+ float max = -999999;
+
+ for(i = 0; i < p.h*p.w*p.c; ++i){
+ float v = p.data[i];
+ if(v < min) min = v;
+ if(v > max) max = v;
+ }
+ if(max - min < .000000001){
+ min = 0;
+ max = 1;
+ }
+ for(i = 0; i < p.c*p.w*p.h; ++i){
+ p.data[i] = (p.data[i] - min)/(max-min);
+ }
+}
+
+void normalize_image2(image p)
+{
float *min = calloc(p.c, sizeof(float));
float *max = calloc(p.c, sizeof(float));
int i,j;
@@ -167,24 +456,6 @@
free(max);
}
-float avg_image_layer(image m, int l)
-{
- int i;
- float sum = 0;
- for(i = 0; i < m.h*m.w; ++i){
- sum += m.data[l*m.h*m.w + i];
- }
- return sum/(m.h*m.w);
-}
-
-void threshold_image(image p, float t)
-{
- int i;
- for(i = 0; i < p.w*p.h*p.c; ++i){
- if(p.data[i] < t) p.data[i] = 0;
- }
-}
-
image copy_image(image p)
{
image copy = p;
@@ -193,12 +464,24 @@
return copy;
}
-
-void show_image(image p, char *name)
+void rgbgr_image(image im)
{
- int i,j,k;
+ int i;
+ for(i = 0; i < im.w*im.h; ++i){
+ float swap = im.data[i];
+ im.data[i] = im.data[i+im.w*im.h*2];
+ im.data[i+im.w*im.h*2] = swap;
+ }
+}
+
+#ifdef OPENCV
+void show_image_cv(image p, const char *name)
+{
+ int x,y,k;
image copy = copy_image(p);
- normalize_image(copy);
+ constrain_image(copy);
+ if(p.c == 3) rgbgr_image(copy);
+ //normalize_image(copy);
char buff[256];
//sprintf(buff, "%s (%d)", name, windows);
@@ -206,19 +489,19 @@
IplImage *disp = cvCreateImage(cvSize(p.w,p.h), IPL_DEPTH_8U, p.c);
int step = disp->widthStep;
- cvNamedWindow(buff, CV_WINDOW_AUTOSIZE);
+ cvNamedWindow(buff, CV_WINDOW_NORMAL);
//cvMoveWindow(buff, 100*(windows%10) + 200*(windows/10), 100*(windows%10));
++windows;
- for(i = 0; i < p.h; ++i){
- for(j = 0; j < p.w; ++j){
+ for(y = 0; y < p.h; ++y){
+ for(x = 0; x < p.w; ++x){
for(k= 0; k < p.c; ++k){
- disp->imageData[i*step + j*p.c + k] = (unsigned char)(get_pixel(copy,i,j,k)*255);
+ disp->imageData[y*step + x*p.c + k] = (unsigned char)(get_pixel(copy,x,y,k)*255);
}
}
}
free_image(copy);
- if(disp->height < 500 || disp->width < 500 || disp->height > 1000){
- int w = 500;
+ if(0){
+ int w = 448;
int h = w*p.h/p.w;
if(h > 1000){
h = 1000;
@@ -226,36 +509,185 @@
}
IplImage *buffer = disp;
disp = cvCreateImage(cvSize(w, h), buffer->depth, buffer->nChannels);
- cvResize(buffer, disp, CV_INTER_NN);
+ cvResize(buffer, disp, CV_INTER_LINEAR);
cvReleaseImage(&buffer);
}
cvShowImage(buff, disp);
+
cvReleaseImage(&disp);
}
-void save_image(image p, char *name)
+
+void show_image_cv_ipl(IplImage *disp, const char *name, const char *out_filename)
{
- int i,j,k;
- image copy = copy_image(p);
- normalize_image(copy);
+ 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);
- char buff[256];
- //sprintf(buff, "%s (%d)", name, windows);
- sprintf(buff, "%s.png", name);
+ if(out_filename)
+ {
+ 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(out_filename, CV_FOURCC('H', '2', '6', '4'), 25, size, 1);
+ output_video = cvCreateVideoWriter(out_filename, CV_FOURCC('D', 'I', 'V', 'X'), 25, size, 1);
+ //output_video = cvCreateVideoWriter(out_filename, CV_FOURCC('M', 'J', 'P', 'G'), 25, size, 1);
+ //output_video = cvCreateVideoWriter(out_filename, CV_FOURCC('M', 'P', '4', 'V'), 25, size, 1);
+ //output_video = cvCreateVideoWriter(out_filename, CV_FOURCC('M', 'P', '4', '2'), 25, size, 1);
+ //output_video = cvCreateVideoWriter(out_filename, CV_FOURCC('X', 'V', 'I', 'D'), 25, size, 1);
+ //output_video = cvCreateVideoWriter(out_filename, CV_FOURCC('W', 'M', 'V', '2'), 25, size, 1);
+ }
- IplImage *disp = cvCreateImage(cvSize(p.w,p.h), IPL_DEPTH_8U, p.c);
- int step = disp->widthStep;
- for(i = 0; i < p.h; ++i){
- for(j = 0; j < p.w; ++j){
- for(k= 0; k < p.c; ++k){
- disp->imageData[i*step + j*p.c + k] = (unsigned char)(get_pixel(copy,i,j,k)*255);
+ cvWriteFrame(output_video, disp); // comment this line to improve FPS !!!
+ printf("\n cvWriteFrame \n");
+ }
+
+ cvReleaseImage(&disp);
+}
+#endif
+
+void show_image(image p, const char *name)
+{
+#ifdef OPENCV
+ show_image_cv(p, name);
+#else
+ fprintf(stderr, "Not compiled with OpenCV, saving to %s.png instead\n", name);
+ save_image(p, name);
+#endif
+}
+
+#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.;
}
}
}
- free_image(copy);
+ 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 )
+ {
+ 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(0);
+ }
+ image out = ipl_to_image(src);
+ cvReleaseImage(&src);
+ 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_resize(CvCapture *cap, int w, int h, IplImage** in_img)
+{
+ IplImage* 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);
+ cvResize(src, *in_img, CV_INTER_LINEAR);
+ cvResize(src, new_img, CV_INTER_LINEAR);
+ image im = ipl_to_image(new_img);
+ cvReleaseImage(&new_img);
+ rgbgr_image(im);
+ return im;
+}
+
+void save_image_jpg(image p, const char *name)
+{
+ image copy = copy_image(p);
+ if(p.c == 3) rgbgr_image(copy);
+ int x,y,k;
+
+ char buff[256];
+ sprintf(buff, "%s.jpg", name);
+
+ IplImage *disp = cvCreateImage(cvSize(p.w,p.h), IPL_DEPTH_8U, p.c);
+ int step = disp->widthStep;
+ for(y = 0; y < p.h; ++y){
+ for(x = 0; x < p.w; ++x){
+ for(k= 0; k < p.c; ++k){
+ disp->imageData[y*step + x*p.c + k] = (unsigned char)(get_pixel(copy,x,y,k)*255);
+ }
+ }
+ }
cvSaveImage(buff, disp,0);
cvReleaseImage(&disp);
+ free_image(copy);
}
+#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)
{
@@ -276,7 +708,7 @@
free_image(c);
}
-image make_empty_image(int h, int w, int c)
+image make_empty_image(int w, int h, int c)
{
image out;
out.data = 0;
@@ -286,63 +718,68 @@
return out;
}
-image make_image(int h, int w, int c)
+image make_image(int w, int h, int c)
{
- image out = make_empty_image(h,w,c);
+ image out = make_empty_image(w,h,c);
out.data = calloc(h*w*c, sizeof(float));
return out;
}
-image float_to_image(int h, int w, int c, float *data)
+image make_random_image(int w, int h, int c)
{
- image out = make_empty_image(h,w,c);
+ image out = make_empty_image(w,h,c);
+ out.data = calloc(h*w*c, sizeof(float));
+ int i;
+ for(i = 0; i < w*h*c; ++i){
+ out.data[i] = (rand_normal() * .25) + .5;
+ }
+ return out;
+}
+
+image float_to_image(int w, int h, int c, float *data)
+{
+ image out = make_empty_image(w,h,c);
out.data = data;
return out;
}
-void zero_image(image m)
-{
- memset(m.data, 0, m.h*m.w*m.c*sizeof(float));
-}
-void zero_channel(image m, int c)
+image rotate_crop_image(image im, float rad, float s, int w, int h, float dx, float dy, float aspect)
{
- memset(&(m.data[c*m.h*m.w]), 0, m.h*m.w*sizeof(float));
-}
-
-void rotate_image(image m)
-{
- int i,j;
- for(j = 0; j < m.c; ++j){
- for(i = 0; i < m.h*m.w/2; ++i){
- float swap = m.data[j*m.h*m.w + i];
- m.data[j*m.h*m.w + i] = m.data[j*m.h*m.w + (m.h*m.w-1 - i)];
- m.data[j*m.h*m.w + (m.h*m.w-1 - i)] = swap;
- }
- }
-}
-
-image make_random_image(int h, int w, int c)
-{
- image out = make_image(h,w,c);
- int i;
- for(i = 0; i < h*w*c; ++i){
- out.data[i] = rand_normal();
- //out.data[i] = rand()%3;
- }
- return out;
-}
-
-void add_into_image(image src, image dest, int h, int w)
-{
- int i,j,k;
- for(k = 0; k < src.c; ++k){
- for(i = 0; i < src.h; ++i){
- for(j = 0; j < src.w; ++j){
- add_pixel(dest, h+i, w+j, k, get_pixel(src, i, j, k));
+ int x, y, c;
+ float cx = im.w/2.;
+ float cy = im.h/2.;
+ image rot = make_image(w, h, im.c);
+ for(c = 0; c < im.c; ++c){
+ for(y = 0; y < h; ++y){
+ for(x = 0; x < w; ++x){
+ float rx = cos(rad)*((x - w/2.)/s*aspect + dx/s*aspect) - sin(rad)*((y - h/2.)/s + dy/s) + cx;
+ float ry = sin(rad)*((x - w/2.)/s*aspect + dx/s*aspect) + cos(rad)*((y - h/2.)/s + dy/s) + cy;
+ float val = bilinear_interpolate(im, rx, ry, c);
+ set_pixel(rot, x, y, c, val);
}
}
}
+ return rot;
+}
+
+image rotate_image(image im, float rad)
+{
+ int x, y, c;
+ float cx = im.w/2.;
+ float cy = im.h/2.;
+ image rot = make_image(im.w, im.h, im.c);
+ for(c = 0; c < im.c; ++c){
+ for(y = 0; y < im.h; ++y){
+ for(x = 0; x < im.w; ++x){
+ float rx = cos(rad)*(x-cx) - sin(rad)*(y-cy) + cx;
+ float ry = sin(rad)*(x-cx) + cos(rad)*(y-cy) + cy;
+ float val = bilinear_interpolate(im, rx, ry, c);
+ set_pixel(rot, x, y, c, val);
+ }
+ }
+ }
+ return rot;
}
void translate_image(image m, float s)
@@ -357,385 +794,625 @@
for(i = 0; i < m.h*m.w*m.c; ++i) m.data[i] *= s;
}
-image make_random_kernel(int size, int c, float scale)
+image crop_image(image im, int dx, int dy, int w, int h)
{
- int pad;
- if((pad=(size%2==0))) ++size;
- image out = make_random_image(size,size,c);
- scale_image(out, scale);
- int i,k;
- if(pad){
- for(k = 0; k < out.c; ++k){
- for(i = 0; i < size; ++i) {
- set_pixel(out, i, 0, k, 0);
- set_pixel(out, 0, i, k, 0);
+ image cropped = make_image(w, h, im.c);
+ int i, j, k;
+ for(k = 0; k < im.c; ++k){
+ for(j = 0; j < h; ++j){
+ for(i = 0; i < w; ++i){
+ int r = j + dy;
+ int c = i + dx;
+ float val = 0;
+ r = constrain_int(r, 0, im.h-1);
+ c = constrain_int(c, 0, im.w-1);
+ if (r >= 0 && r < im.h && c >= 0 && c < im.w) {
+ val = get_pixel(im, c, r, k);
+ }
+ set_pixel(cropped, i, j, k, val);
}
}
}
- return out;
+ return cropped;
}
-// Returns a new image that is a cropped version (rectangular cut-out)
-// of the original image.
-IplImage* cropImage(const IplImage *img, const CvRect region)
+int best_3d_shift_r(image a, image b, int min, int max)
{
- IplImage *imageCropped;
- CvSize size;
-
- if (img->width <= 0 || img->height <= 0
- || region.width <= 0 || region.height <= 0) {
- //cerr << "ERROR in cropImage(): invalid dimensions." << endl;
- exit(1);
- }
-
- if (img->depth != IPL_DEPTH_8U) {
- //cerr << "ERROR in cropImage(): image depth is not 8." << endl;
- exit(1);
- }
-
- // Set the desired region of interest.
- cvSetImageROI((IplImage*)img, region);
- // Copy region of interest into a new iplImage and return it.
- size.width = region.width;
- size.height = region.height;
- imageCropped = cvCreateImage(size, IPL_DEPTH_8U, img->nChannels);
- cvCopy(img, imageCropped,NULL); // Copy just the region.
-
- return imageCropped;
+ 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);
}
-// Creates a new image copy that is of a desired size. The aspect ratio will
-// be kept constant if 'keepAspectRatio' is true, by cropping undesired parts
-// so that only pixels of the original image are shown, instead of adding
-// extra blank space.
-// Remember to free the new image later.
-IplImage* resizeImage(const IplImage *origImg, int newHeight, int newWidth,
- int keepAspectRatio)
+int best_3d_shift(image a, image b, int min, int max)
{
- IplImage *outImg = 0;
- int origWidth = 0;
- int origHeight = 0;
- if (origImg) {
- origWidth = origImg->width;
- origHeight = origImg->height;
- }
- if (newWidth <= 0 || newHeight <= 0 || origImg == 0
- || origWidth <= 0 || origHeight <= 0) {
- //cerr << "ERROR: Bad desired image size of " << newWidth
- // << "x" << newHeight << " in resizeImage().\n";
- exit(1);
- }
-
- if (keepAspectRatio) {
- // Resize the image without changing its aspect ratio,
- // by cropping off the edges and enlarging the middle section.
- CvRect r;
- // input aspect ratio
- float origAspect = (origWidth / (float)origHeight);
- // output aspect ratio
- float newAspect = (newWidth / (float)newHeight);
- // crop width to be origHeight * newAspect
- if (origAspect > newAspect) {
- int tw = (origHeight * newWidth) / newHeight;
- r = cvRect((origWidth - tw)/2, 0, tw, origHeight);
+ 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;
}
- else { // crop height to be origWidth / newAspect
- int th = (origWidth * newHeight) / newWidth;
- r = cvRect(0, (origHeight - th)/2, origWidth, th);
- }
- IplImage *croppedImg = cropImage(origImg, r);
-
- // Call this function again, with the new aspect ratio image.
- // Will do a scaled image resize with the correct aspect ratio.
- outImg = resizeImage(croppedImg, newHeight, newWidth, 0);
- cvReleaseImage( &croppedImg );
+ printf("%d %f\n", i, d);
+ free_image(c);
}
- else {
-
- // Scale the image to the new dimensions,
- // even if the aspect ratio will be changed.
- outImg = cvCreateImage(cvSize(newWidth, newHeight),
- origImg->depth, origImg->nChannels);
- if (newWidth > origImg->width && newHeight > origImg->height) {
- // Make the image larger
- cvResetImageROI((IplImage*)origImg);
- // CV_INTER_LINEAR: good at enlarging.
- // CV_INTER_CUBIC: good at enlarging.
- cvResize(origImg, outImg, CV_INTER_LINEAR);
- }
- else {
- // Make the image smaller
- cvResetImageROI((IplImage*)origImg);
- // CV_INTER_AREA: good at shrinking (decimation) only.
- cvResize(origImg, outImg, CV_INTER_AREA);
- }
-
- }
- return outImg;
+ return best;
}
-image ipl_to_image(IplImage* src)
+void composite_3d(char *f1, char *f2, char *out, int delta)
{
- 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(h,w,c);
- int i, j, k, count=0;;
+ 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);
- 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];
+ 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) ;
+}
+
+float three_way_min(float a, float b, float c)
+{
+ return (a < b) ? ( (a < c) ? a : c) : ( (b < c) ? b : c) ;
+}
+
+// http://www.cs.rit.edu/~ncs/color/t_convert.html
+void rgb_to_hsv(image im)
+{
+ assert(im.c == 3);
+ int i, j;
+ float r, g, b;
+ float h, s, v;
+ for(j = 0; j < im.h; ++j){
+ for(i = 0; i < im.w; ++i){
+ r = get_pixel(im, i , j, 0);
+ g = get_pixel(im, i , j, 1);
+ b = get_pixel(im, i , j, 2);
+ float max = three_way_max(r,g,b);
+ float min = three_way_min(r,g,b);
+ float delta = max - min;
+ v = max;
+ if(max == 0){
+ s = 0;
+ h = 0;
+ }else{
+ s = delta/max;
+ if(r == max){
+ h = (g - b) / delta;
+ } else if (g == max) {
+ h = 2 + (b - r) / delta;
+ } else {
+ h = 4 + (r - g) / delta;
+ }
+ if (h < 0) h += 6;
+ h = h/6.;
+ }
+ set_pixel(im, i, j, 0, h);
+ set_pixel(im, i, j, 1, s);
+ set_pixel(im, i, j, 2, v);
+ }
+ }
+}
+
+void hsv_to_rgb(image im)
+{
+ assert(im.c == 3);
+ int i, j;
+ float r, g, b;
+ float h, s, v;
+ float f, p, q, t;
+ for(j = 0; j < im.h; ++j){
+ for(i = 0; i < im.w; ++i){
+ h = 6 * get_pixel(im, i , j, 0);
+ s = get_pixel(im, i , j, 1);
+ v = get_pixel(im, i , j, 2);
+ if (s == 0) {
+ r = g = b = v;
+ } else {
+ int index = floor(h);
+ f = h - index;
+ p = v*(1-s);
+ q = v*(1-s*f);
+ t = v*(1-s*(1-f));
+ if(index == 0){
+ r = v; g = t; b = p;
+ } else if(index == 1){
+ r = q; g = v; b = p;
+ } else if(index == 2){
+ r = p; g = v; b = t;
+ } else if(index == 3){
+ r = p; g = q; b = v;
+ } else if(index == 4){
+ r = t; g = p; b = v;
+ } else {
+ r = v; g = p; b = q;
+ }
+ }
+ set_pixel(im, i, j, 0, r);
+ set_pixel(im, i, j, 1, g);
+ set_pixel(im, i, j, 2, b);
+ }
+ }
+}
+
+image grayscale_image(image im)
+{
+ assert(im.c == 3);
+ int i, j, k;
+ image gray = make_image(im.w, im.h, 1);
+ float scale[] = {0.587, 0.299, 0.114};
+ for(k = 0; k < im.c; ++k){
+ for(j = 0; j < im.h; ++j){
+ for(i = 0; i < im.w; ++i){
+ gray.data[i+im.w*j] += scale[k]*get_pixel(im, i, j, k);
}
}
}
+ return gray;
+}
+
+image threshold_image(image im, float thresh)
+{
+ int i;
+ image t = make_image(im.w, im.h, im.c);
+ for(i = 0; i < im.w*im.h*im.c; ++i){
+ t.data[i] = im.data[i]>thresh ? 1 : 0;
+ }
+ return t;
+}
+
+image blend_image(image fore, image back, float alpha)
+{
+ assert(fore.w == back.w && fore.h == back.h && fore.c == back.c);
+ image blend = make_image(fore.w, fore.h, fore.c);
+ int i, j, k;
+ for(k = 0; k < fore.c; ++k){
+ for(j = 0; j < fore.h; ++j){
+ for(i = 0; i < fore.w; ++i){
+ float val = alpha * get_pixel(fore, i, j, k) +
+ (1 - alpha)* get_pixel(back, i, j, k);
+ set_pixel(blend, i, j, k, val);
+ }
+ }
+ }
+ return blend;
+}
+
+void scale_image_channel(image im, int c, float v)
+{
+ int i, j;
+ for(j = 0; j < im.h; ++j){
+ for(i = 0; i < im.w; ++i){
+ float pix = get_pixel(im, i, j, c);
+ pix = pix*v;
+ set_pixel(im, i, j, c, pix);
+ }
+ }
+}
+
+void translate_image_channel(image im, int c, float v)
+{
+ int i, j;
+ for(j = 0; j < im.h; ++j){
+ for(i = 0; i < im.w; ++i){
+ float pix = get_pixel(im, i, j, c);
+ pix = pix+v;
+ set_pixel(im, i, j, c, pix);
+ }
+ }
+}
+
+image binarize_image(image im)
+{
+ image c = copy_image(im);
+ int i;
+ for(i = 0; i < im.w * im.h * im.c; ++i){
+ if(c.data[i] > .5) c.data[i] = 1;
+ else c.data[i] = 0;
+ }
+ return c;
+}
+
+void saturate_image(image im, float sat)
+{
+ rgb_to_hsv(im);
+ scale_image_channel(im, 1, sat);
+ hsv_to_rgb(im);
+ constrain_image(im);
+}
+
+void hue_image(image im, float hue)
+{
+ rgb_to_hsv(im);
+ int i;
+ for(i = 0; i < im.w*im.h; ++i){
+ im.data[i] = im.data[i] + hue;
+ if (im.data[i] > 1) im.data[i] -= 1;
+ if (im.data[i] < 0) im.data[i] += 1;
+ }
+ hsv_to_rgb(im);
+ constrain_image(im);
+}
+
+void exposure_image(image im, float sat)
+{
+ rgb_to_hsv(im);
+ scale_image_channel(im, 2, sat);
+ hsv_to_rgb(im);
+ constrain_image(im);
+}
+
+void distort_image(image im, float hue, float sat, float val)
+{
+ 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);
+ constrain_image(im);
+}
+
+void random_distort_image(image im, float hue, float saturation, float exposure)
+{
+ float dhue = rand_uniform_strong(-hue, hue);
+ float dsat = rand_scale(saturation);
+ float dexp = rand_scale(exposure);
+ distort_image(im, dhue, dsat, dexp);
+}
+
+void saturate_exposure_image(image im, float sat, float exposure)
+{
+ rgb_to_hsv(im);
+ scale_image_channel(im, 1, sat);
+ scale_image_channel(im, 2, exposure);
+ hsv_to_rgb(im);
+ constrain_image(im);
+}
+
+float bilinear_interpolate(image im, float x, float y, int c)
+{
+ int ix = (int) floorf(x);
+ int iy = (int) floorf(y);
+
+ float dx = x - ix;
+ float dy = y - iy;
+
+ float val = (1-dy) * (1-dx) * get_pixel_extend(im, ix, iy, c) +
+ dy * (1-dx) * get_pixel_extend(im, ix, iy+1, c) +
+ (1-dy) * dx * get_pixel_extend(im, ix+1, iy, c) +
+ dy * dx * get_pixel_extend(im, ix+1, iy+1, c);
+ return val;
+}
+
+image resize_image(image im, int w, int h)
+{
+ image resized = make_image(w, h, im.c);
+ image part = make_image(w, im.h, im.c);
+ int r, c, k;
+ float w_scale = (float)(im.w - 1) / (w - 1);
+ float h_scale = (float)(im.h - 1) / (h - 1);
+ for(k = 0; k < im.c; ++k){
+ for(r = 0; r < im.h; ++r){
+ for(c = 0; c < w; ++c){
+ float val = 0;
+ if(c == w-1 || im.w == 1){
+ val = get_pixel(im, im.w-1, r, k);
+ } else {
+ float sx = c*w_scale;
+ int ix = (int) sx;
+ float dx = sx - ix;
+ val = (1 - dx) * get_pixel(im, ix, r, k) + dx * get_pixel(im, ix+1, r, k);
+ }
+ set_pixel(part, c, r, k, val);
+ }
+ }
+ }
+ for(k = 0; k < im.c; ++k){
+ for(r = 0; r < h; ++r){
+ float sy = r*h_scale;
+ int iy = (int) sy;
+ float dy = sy - iy;
+ for(c = 0; c < w; ++c){
+ float val = (1-dy) * get_pixel(part, c, iy, k);
+ set_pixel(resized, c, r, k, val);
+ }
+ if(r == h-1 || im.h == 1) continue;
+ for(c = 0; c < w; ++c){
+ float val = dy * get_pixel(part, c, iy+1, k);
+ add_pixel(resized, c, r, k, val);
+ }
+ }
+ }
+
+ free_image(part);
+ return resized;
+}
+
+
+void test_resize(char *filename)
+{
+ image im = load_image(filename, 0,0, 3);
+ float mag = mag_array(im.data, im.w*im.h*im.c);
+ printf("L2 Norm: %f\n", mag);
+ image gray = grayscale_image(im);
+
+ image c1 = copy_image(im);
+ image c2 = copy_image(im);
+ image c3 = copy_image(im);
+ image c4 = copy_image(im);
+ distort_image(c1, .1, 1.5, 1.5);
+ distort_image(c2, -.1, .66666, .66666);
+ distort_image(c3, .1, 1.5, .66666);
+ distort_image(c4, .1, .66666, 1.5);
+
+
+ show_image(im, "Original");
+ show_image(gray, "Gray");
+ show_image(c1, "C1");
+ show_image(c2, "C2");
+ show_image(c3, "C3");
+ show_image(c4, "C4");
+#ifdef OPENCV
+ while(1){
+ image aug = random_augment_image(im, 0, .75, 320, 448, 320);
+ show_image(aug, "aug");
+ free_image(aug);
+
+
+ float exposure = 1.15;
+ float saturation = 1.15;
+ float hue = .05;
+
+ image c = copy_image(im);
+
+ float dexp = rand_scale(exposure);
+ float dsat = rand_scale(saturation);
+ float dhue = rand_uniform(-hue, hue);
+
+ distort_image(c, dhue, dsat, dexp);
+ show_image(c, "rand");
+ printf("%f %f %f\n", dhue, dsat, dexp);
+ free_image(c);
+ cvWaitKey(0);
+ }
+#endif
+}
+
+
+image load_image_stb(char *filename, int channels)
+{
+ int w, h, c;
+ unsigned char *data = stbi_load(filename, &w, &h, &c, channels);
+ if (!data) {
+ fprintf(stderr, "Cannot load image \"%s\"\nSTB Reason: %s\n", filename, stbi_failure_reason());
+ exit(0);
+ }
+ if(channels) c = channels;
+ int i,j,k;
+ image im = make_image(w, h, c);
+ for(k = 0; k < c; ++k){
+ for(j = 0; j < h; ++j){
+ for(i = 0; i < w; ++i){
+ int dst_index = i + w*j + w*h*k;
+ int src_index = k + c*i + c*w*j;
+ im.data[dst_index] = (float)data[src_index]/255.;
+ }
+ }
+ }
+ free(data);
+ return im;
+}
+
+image load_image(char *filename, int w, int h, int c)
+{
+#ifdef OPENCV
+
+#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_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)){
+ image resized = resize_image(out, w, h);
+ free_image(out);
+ out = resized;
+ }
return out;
}
-image load_image_color(char *filename, int h, int w)
+image load_image_color(char *filename, int w, int h)
{
- IplImage* src = 0;
- if( (src = cvLoadImage(filename, 1)) == 0 )
- {
- printf("Cannot load file image %s\n", filename);
- exit(0);
- }
- if(h && w && (src->height != h || src->width != w)){
- //printf("Resized!\n");
- IplImage *resized = resizeImage(src, h, w, 0);
- cvReleaseImage(&src);
- src = resized;
- }
- image out = ipl_to_image(src);
- cvReleaseImage(&src);
- return out;
-}
-
-image load_image(char *filename, int h, int w)
-{
- IplImage* src = 0;
- if( (src = cvLoadImage(filename,-1)) == 0 )
- {
- printf("Cannot load file image %s\n", filename);
- exit(0);
- }
- if(h && w ){
- IplImage *resized = resizeImage(src, h, w, 0);
- cvReleaseImage(&src);
- src = resized;
- }
- image out = ipl_to_image(src);
- cvReleaseImage(&src);
- return out;
+ return load_image(filename, w, h, 3);
}
image get_image_layer(image m, int l)
{
- image out = make_image(m.h, m.w, 1);
+ image out = make_image(m.w, m.h, 1);
int i;
for(i = 0; i < m.h*m.w; ++i){
out.data[i] = m.data[i+l*m.h*m.w];
}
return out;
}
-image get_sub_image(image m, int h, int w, int dh, int dw)
-{
- image out = make_image(dh, dw, m.c);
- int i,j,k;
- for(k = 0; k < out.c; ++k){
- for(i = 0; i < dh; ++i){
- for(j = 0; j < dw; ++j){
- float val = get_pixel(m, h+i, w+j, k);
- set_pixel(out, i, j, k, val);
- }
- }
- }
- return out;
-}
float get_pixel(image m, int x, int y, int c)
{
- assert(x < m.h && y < m.w && c < m.c);
- return m.data[c*m.h*m.w + x*m.w + y];
+ 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.h || y < 0 || y >= m.w || c < 0 || c >= m.c) 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);
}
void set_pixel(image m, int x, int y, int c, float val)
{
- assert(x < m.h && y < m.w && c < m.c);
- m.data[c*m.h*m.w + x*m.w + y] = 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;
}
-void set_pixel_extend(image m, int x, int y, int c, float val)
-{
- if(x < 0 || x >= m.h || y < 0 || y >= m.w || c < 0 || c >= m.c) return;
- set_pixel(m, x, y, c, val);
-}
-
void add_pixel(image m, int x, int y, int c, float val)
{
- assert(x < m.h && y < m.w && c < m.c);
- m.data[c*m.h*m.w + x*m.w + y] += val;
-}
-
-void add_pixel_extend(image m, int x, int y, int c, float val)
-{
- if(x < 0 || x >= m.h || y < 0 || y >= m.w || c < 0 || c >= m.c) return;
- add_pixel(m, x, y, c, val);
-}
-
-void two_d_convolve(image m, int mc, image kernel, int kc, int stride, image out, int oc, int edge)
-{
- int x,y,i,j;
- int xstart, xend, ystart, yend;
- if(edge){
- xstart = ystart = 0;
- xend = m.h;
- yend = m.w;
- }else{
- xstart = kernel.h/2;
- ystart = kernel.w/2;
- xend = m.h-kernel.h/2;
- yend = m.w - kernel.w/2;
- }
- for(x = xstart; x < xend; x += stride){
- for(y = ystart; y < yend; y += stride){
- float sum = 0;
- for(i = 0; i < kernel.h; ++i){
- for(j = 0; j < kernel.w; ++j){
- sum += get_pixel(kernel, i, j, kc)*get_pixel_extend(m, x+i-kernel.h/2, y+j-kernel.w/2, mc);
- }
- }
- add_pixel(out, (x-xstart)/stride, (y-ystart)/stride, oc, sum);
- }
- }
-}
-
-float single_convolve(image m, image kernel, int x, int y)
-{
- float sum = 0;
- int i, j, k;
- for(i = 0; i < kernel.h; ++i){
- for(j = 0; j < kernel.w; ++j){
- for(k = 0; k < kernel.c; ++k){
- sum += get_pixel(kernel, i, j, k)*get_pixel_extend(m, x+i-kernel.h/2, y+j-kernel.w/2, k);
- }
- }
- }
- return sum;
-}
-
-void convolve(image m, image kernel, int stride, int channel, image out, int edge)
-{
- assert(m.c == kernel.c);
- int i;
- zero_channel(out, channel);
- for(i = 0; i < m.c; ++i){
- two_d_convolve(m, i, kernel, i, stride, out, channel, edge);
- }
- /*
- int j;
- for(i = 0; i < m.h; i += stride){
- for(j = 0; j < m.w; j += stride){
- float val = single_convolve(m, kernel, i, j);
- set_pixel(out, i/stride, j/stride, channel, val);
- }
- }
- */
-}
-
-void upsample_image(image m, int stride, image out)
-{
- int i,j,k;
- zero_image(out);
- for(k = 0; k < m.c; ++k){
- for(i = 0; i < m.h; ++i){
- for(j = 0; j< m.w; ++j){
- float val = get_pixel(m, i, j, k);
- set_pixel(out, i*stride, j*stride, k, val);
- }
- }
- }
-}
-
-void single_update(image m, image update, int x, int y, float error)
-{
- int i, j, k;
- for(i = 0; i < update.h; ++i){
- for(j = 0; j < update.w; ++j){
- for(k = 0; k < update.c; ++k){
- float val = get_pixel_extend(m, x+i-update.h/2, y+j-update.w/2, k);
- add_pixel(update, i, j, k, val*error);
- }
- }
- }
-}
-
-void kernel_update(image m, image update, int stride, int channel, image out, int edge)
-{
- assert(m.c == update.c);
- zero_image(update);
- int i, j, istart, jstart, iend, jend;
- if(edge){
- istart = jstart = 0;
- iend = m.h;
- jend = m.w;
- }else{
- istart = update.h/2;
- jstart = update.w/2;
- iend = m.h-update.h/2;
- jend = m.w - update.w/2;
- }
- for(i = istart; i < iend; i += stride){
- for(j = jstart; j < jend; j += stride){
- float error = get_pixel(out, (i-istart)/stride, (j-jstart)/stride, channel);
- single_update(m, update, i, j, error);
- }
- }
- /*
- for(i = 0; i < update.h*update.w*update.c; ++i){
- update.data[i] /= (m.h/stride)*(m.w/stride);
- }
- */
-}
-
-void single_back_convolve(image m, image kernel, int x, int y, float val)
-{
- int i, j, k;
- for(i = 0; i < kernel.h; ++i){
- for(j = 0; j < kernel.w; ++j){
- for(k = 0; k < kernel.c; ++k){
- float pval = get_pixel(kernel, i, j, k) * val;
- add_pixel_extend(m, x+i-kernel.h/2, y+j-kernel.w/2, k, pval);
- }
- }
- }
-}
-
-void back_convolve(image m, image kernel, int stride, int channel, image out, int edge)
-{
- assert(m.c == kernel.c);
- int i, j, istart, jstart, iend, jend;
- if(edge){
- istart = jstart = 0;
- iend = m.h;
- jend = m.w;
- }else{
- istart = kernel.h/2;
- jstart = kernel.w/2;
- iend = m.h-kernel.h/2;
- jend = m.w - kernel.w/2;
- }
- for(i = istart; i < iend; i += stride){
- for(j = jstart; j < jend; j += stride){
- float val = get_pixel(out, (i-istart)/stride, (j-jstart)/stride, channel);
- single_back_convolve(m, kernel, i, j, 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)
@@ -768,20 +1445,20 @@
c = 1;
}
- image filters = make_image(h,w,c);
+ image filters = make_image(w, h, c);
int i,j;
for(i = 0; i < n; ++i){
int h_offset = i*(ims[0].h+border);
image copy = copy_image(ims[i]);
//normalize_image(copy);
if(c == 3 && color){
- embed_image(copy, filters, h_offset, 0);
+ embed_image(copy, filters, 0, h_offset);
}
else{
for(j = 0; j < copy.c; ++j){
int w_offset = j*(ims[0].w+border);
image layer = get_image_layer(copy, j);
- embed_image(layer, filters, h_offset, w_offset);
+ embed_image(layer, filters, w_offset, h_offset);
free_image(layer);
}
}
@@ -804,20 +1481,20 @@
c = 1;
}
- image filters = make_image(h,w,c);
+ image filters = make_image(w, h, c);
int i,j;
for(i = 0; i < n; ++i){
int w_offset = i*(size+border);
image copy = copy_image(ims[i]);
//normalize_image(copy);
if(c == 3 && color){
- embed_image(copy, filters, 0, w_offset);
+ embed_image(copy, filters, w_offset, 0);
}
else{
for(j = 0; j < copy.c; ++j){
int h_offset = j*(size+border);
image layer = get_image_layer(copy, j);
- embed_image(layer, filters, h_offset, w_offset);
+ embed_image(layer, filters, w_offset, h_offset);
free_image(layer);
}
}
@@ -826,52 +1503,35 @@
return filters;
}
+void show_image_normalized(image im, const char *name)
+{
+ image c = copy_image(im);
+ normalize_image(c);
+ show_image(c, name);
+ free_image(c);
+}
+
void show_images(image *ims, int n, char *window)
{
image m = collapse_images_vert(ims, n);
+ /*
+ int w = 448;
+ int h = ((float)m.h/m.w) * 448;
+ if(h > 896){
+ h = 896;
+ w = ((float)m.w/m.h) * 896;
+ }
+ image sized = resize_image(m, w, h);
+ */
+ normalize_image(m);
save_image(m, window);
show_image(m, window);
free_image(m);
}
-image grid_images(image **ims, int h, int w)
-{
- int i;
- image *rows = calloc(h, sizeof(image));
- for(i = 0; i < h; ++i){
- rows[i] = collapse_images_horz(ims[i], w);
- }
- image out = collapse_images_vert(rows, h);
- for(i = 0; i < h; ++i){
- free_image(rows[i]);
- }
- free(rows);
- return out;
-}
-
-void test_grid()
-{
- int i,j;
- int num = 3;
- int topk = 3;
- image **vizs = calloc(num, sizeof(image*));
- for(i = 0; i < num; ++i){
- vizs[i] = calloc(topk, sizeof(image));
- for(j = 0; j < topk; ++j) vizs[i][j] = make_image(3,3,3);
- }
- image grid = grid_images(vizs, num, topk);
- save_image(grid, "Test Grid");
- free_image(grid);
-}
-
-void show_images_grid(image **ims, int h, int w, char *window)
-{
- image out = grid_images(ims, h, w);
- show_image(out, window);
- free_image(out);
-}
-
void free_image(image m)
{
- free(m.data);
+ if(m.data){
+ free(m.data);
+ }
}
--
Gitblit v1.10.0