From a392bbd0c957a00e3782c96e7ced84a29ff9dd88 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Tue, 15 Mar 2016 05:33:02 +0000
Subject: [PATCH] Play along w/ alphago
---
src/image.c | 1523 ++++++++++++++++++++++++++++++++++++---------------------
1 files changed, 952 insertions(+), 571 deletions(-)
diff --git a/src/image.c b/src/image.c
index 5c138d3..0d714fe 100644
--- a/src/image.c
+++ b/src/image.c
@@ -1,13 +1,199 @@
#include "image.h"
#include "utils.h"
+#include "blas.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"
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} };
+
+float get_color(int c, int x, int max)
+{
+ float ratio = ((float)x/max)*5;
+ int i = floor(ratio);
+ int j = ceil(ratio);
+ ratio -= i;
+ float r = (1-ratio) * colors[i][c] + ratio*colors[j][c];
+ //printf("%f\n", r);
+ return r;
+}
+
+void draw_label(image a, int r, int c, image label, const float *rgb)
+{
+ float ratio = (float) label.w / label.h;
+ int h = label.h;
+ int w = ratio * h;
+ image rl = resize_image(label, w, h);
+ if (r - h >= 0) r = r - h;
+
+ int i, j, k;
+ for(j = 0; j < h && j + r < a.h; ++j){
+ for(i = 0; i < w && i + c < a.w; ++i){
+ for(k = 0; k < label.c; ++k){
+ float val = get_pixel(rl, i, j, k);
+ set_pixel(a, i+c, j+r, k, rgb[k] * val);
+ }
+ }
+ }
+ free_image(rl);
+}
+
+void draw_box(image a, int x1, int y1, int x2, int y2, float r, float g, float b)
+{
+ //normalize_image(a);
+ int i;
+ if(x1 < 0) x1 = 0;
+ if(x1 >= a.w) x1 = a.w-1;
+ if(x2 < 0) x2 = 0;
+ if(x2 >= a.w) x2 = a.w-1;
+
+ if(y1 < 0) y1 = 0;
+ if(y1 >= a.h) y1 = a.h-1;
+ 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] = 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] = 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] = 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] = b;
+ a.data[x2 + i*a.w + 2*a.w*a.h] = b;
+ }
+}
+
+void draw_box_width(image a, int x1, int y1, int x2, int y2, int w, float r, float g, float b)
+{
+ 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);
+ }
+}
+
+void draw_detections(image im, int num, float thresh, box *boxes, float **probs, char **names, image *labels, 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 = pow(prob, 1./2.)*10+1;
+ printf("%s: %.2f\n", names[class], prob);
+ int offset = class*17 % classes;
+ float red = get_color(0,offset,classes);
+ float green = get_color(1,offset,classes);
+ float blue = get_color(2,offset,classes);
+ float rgb[3];
+ 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 (labels) draw_label(im, top + width, left, labels[class], rgb);
+ }
+ }
+}
+
+void transpose_image(image im)
+{
+ assert(im.w == im.h);
+ int n, m;
+ int c;
+ for(c = 0; c < im.c; ++c){
+ for(n = 0; n < im.w-1; ++n){
+ for(m = n + 1; m < im.w; ++m){
+ float swap = im.data[m + im.w*(n + im.h*c)];
+ im.data[m + im.w*(n + im.h*c)] = im.data[n + im.w*(m + im.h*c)];
+ im.data[n + im.w*(m + im.h*c)] = swap;
+ }
+ }
+ }
+}
+
+void rotate_image_cw(image im, int times)
+{
+ assert(im.w == im.h);
+ times = (times + 400) % 4;
+ int i, x, y, c;
+ int n = im.w;
+ for(i = 0; i < times; ++i){
+ for(c = 0; c < im.c; ++c){
+ for(x = 0; x < n/2; ++x){
+ for(y = 0; y < (n-1)/2 + 1; ++y){
+ float temp = im.data[y + im.w*(x + im.h*c)];
+ im.data[y + im.w*(x + im.h*c)] = im.data[n-1-x + im.w*(y + im.h*c)];
+ im.data[n-1-x + im.w*(y + im.h*c)] = im.data[n-1-y + im.w*(n-1-x + im.h*c)];
+ im.data[n-1-y + im.w*(n-1-x + im.h*c)] = im.data[x + im.w*(n-1-y + im.h*c)];
+ im.data[x + im.w*(n-1-y + im.h*c)] = temp;
+ }
+ }
+ }
+ }
+}
+
+void flip_image(image a)
+{
+ int i,j,k;
+ for(k = 0; k < a.c; ++k){
+ for(i = 0; i < a.h; ++i){
+ for(j = 0; j < a.w/2; ++j){
+ int index = j + a.w*(i + a.h*(k));
+ int flip = (a.w - j - 1) + a.w*(i + a.h*(k));
+ float swap = a.data[flip];
+ a.data[flip] = a.data[index];
+ a.data[index] = swap;
+ }
+ }
+ }
+}
+
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);
@@ -19,20 +205,14 @@
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);
}
}
}
@@ -42,20 +222,24 @@
{
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)
@@ -87,24 +271,6 @@
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;
@@ -113,12 +279,24 @@
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);
@@ -126,19 +304,20 @@
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 = 1500;
+ if(0){
+ //if(disp->height < 448 || disp->width < 448 || disp->height > 1000){
+ int w = 448;
int h = w*p.h/p.w;
if(h > 1000){
h = 1000;
@@ -146,550 +325,752 @@
}
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)
-{
- int i,j,k;
- image copy = copy_image(p);
- normalize_image(copy);
-
- char buff[256];
- //sprintf(buff, "%s (%d)", name, windows);
- sprintf(buff, "%s.png", name);
-
- 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);
- }
- }
}
- free_image(copy);
- cvSaveImage(buff, disp,0);
- cvReleaseImage(&disp);
-}
+#endif
-void show_image_layers(image p, char *name)
-{
- int i;
- char buff[256];
- for(i = 0; i < p.c; ++i){
- sprintf(buff, "%s - Layer %d", name, i);
- image layer = get_image_layer(p, i);
- show_image(layer, buff);
- free_image(layer);
- }
-}
-
-void show_image_collapsed(image p, char *name)
-{
- image c = collapse_image_layers(p, 1);
- show_image(c, name);
- free_image(c);
-}
-
-image make_empty_image(int h, int w, int c)
-{
- image out;
- out.h = h;
- out.w = w;
- out.c = c;
- return out;
-}
-
-image make_image(int h, int w, int c)
-{
- image out = make_empty_image(h,w,c);
- out.data = calloc(h*w*c, sizeof(float));
- return out;
-}
-
-image float_to_image(int h, int w, int c, float *data)
-{
- image out = make_empty_image(h,w,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)
-{
- 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));
- }
- }
- }
-}
-
-void add_scalar_image(image m, float s)
-{
- int i;
- for(i = 0; i < m.h*m.w*m.c; ++i) m.data[i] += s;
-}
-
-void scale_image(image m, float s)
-{
- int i;
- 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)
-{
- 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);
- }
- }
- }
- return out;
-}
-
-// Returns a new image that is a cropped version (rectangular cut-out)
-// of the original image.
-IplImage* cropImage(const IplImage *img, const CvRect region)
-{
- 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;
-}
-
-// 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)
-{
- 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);
- }
- 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 );
-
- }
- 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;
-}
-
-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(h,w,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];
- }
- }
- }
- return out;
-}
-
-image load_image(char *filename, int h, int w)
-{
- IplImage* src = 0;
- if( (src = cvLoadImage(filename,-1)) == 0 )
+ void show_image(image p, const char *name)
{
- printf("Cannot load file image %s\n", filename);
- exit(0);
+#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
}
- if(h && w ){
- IplImage *resized = resizeImage(src, h, w, 1);
- cvReleaseImage(&src);
- src = resized;
- }
- image out = ipl_to_image(src);
- cvReleaseImage(&src);
- return out;
-}
-image get_image_layer(image m, int l)
-{
- image out = make_image(m.h, m.w, 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);
+ void save_image(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);
}
- 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];
-}
-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;
- 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;
-}
-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;
+#ifdef OPENCV
+ image get_image_from_stream(CvCapture *cap)
+ {
+ IplImage* src = cvQueryFrame(cap);
+ image im = ipl_to_image(src);
+ rgbgr_image(im);
+ return im;
}
- 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);
+#endif
+
+#ifdef OPENCV
+ void save_image_jpg(image p, char *name)
+ {
+ image copy = copy_image(p);
+ 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);
}
}
- 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);
- }
- }
-}
-
-void print_image(image m)
-{
- int i;
- for(i =0 ; i < m.h*m.w*m.c; ++i) printf("%lf, ", m.data[i]);
- printf("\n");
-}
-
-image collapse_images(image *ims, int n)
-{
- int color = 1;
- int border = 1;
- int h,w,c;
- int size = ims[0].h;
- h = size;
- w = (size + border) * n - border;
- c = ims[0].c;
- if(c != 3 || !color){
- h = (h+border)*c - border;
- c = 1;
- }
-
- image filters = make_image(h,w,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);
- }
- 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);
- free_image(layer);
- }
- }
+ cvSaveImage(buff, disp,0);
+ cvReleaseImage(&disp);
free_image(copy);
}
- return filters;
-}
+#endif
-void show_images(image *ims, int n, char *window)
-{
- image m = collapse_images(ims, n);
- show_image(m, window);
- free_image(m);
-}
+ void show_image_layers(image p, char *name)
+ {
+ int i;
+ char buff[256];
+ for(i = 0; i < p.c; ++i){
+ sprintf(buff, "%s - Layer %d", name, i);
+ image layer = get_image_layer(p, i);
+ show_image(layer, buff);
+ free_image(layer);
+ }
+ }
-void free_image(image m)
-{
- free(m.data);
-}
+ void show_image_collapsed(image p, char *name)
+ {
+ image c = collapse_image_layers(p, 1);
+ show_image(c, name);
+ free_image(c);
+ }
+
+ image make_empty_image(int w, int h, int c)
+ {
+ image out;
+ out.data = 0;
+ out.h = h;
+ out.w = w;
+ out.c = c;
+ return out;
+ }
+
+ image make_image(int w, int h, int c)
+ {
+ image out = make_empty_image(w,h,c);
+ out.data = calloc(h*w*c, sizeof(float));
+ return out;
+ }
+
+ image make_random_image(int w, int h, int 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;
+ }
+
+ 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)
+ {
+ int i;
+ for(i = 0; i < m.h*m.w*m.c; ++i) m.data[i] += s;
+ }
+
+ void scale_image(image m, float s)
+ {
+ int i;
+ for(i = 0; i < m.h*m.w*m.c; ++i) m.data[i] *= s;
+ }
+
+ image crop_image(image im, int dx, int dy, int w, int h)
+ {
+ 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;
+ 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 cropped;
+ }
+
+ 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;
+ }
+ image resized = resize_image(im, w, h);
+ return resized;
+ }
+
+ image random_crop_image(image im, int low, int high, int size)
+ {
+ int r = rand_int(low, high);
+ image resized = resize_min(im, r);
+ int dx = rand_int(0, resized.w - size);
+ int dy = rand_int(0, resized.h - size);
+ image crop = crop_image(resized, dx, dy, size, size);
+
+ /*
+ show_image(im, "orig");
+ show_image(crop, "cropped");
+ cvWaitKey(0);
+ */
+
+ free_image(resized);
+ 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 = -1;
+ }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;
+ }
+ 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 = 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 saturate_image(image im, float sat)
+ {
+ rgb_to_hsv(im);
+ scale_image_channel(im, 1, sat);
+ 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 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);
+ }
+
+ /*
+ image saturate_image(image im, float sat)
+ {
+ image gray = grayscale_image(im);
+ image blend = blend_image(im, gray, sat);
+ free_image(gray);
+ constrain_image(blend);
+ return blend;
+ }
+
+ image brightness_image(image im, float b)
+ {
+ image bright = make_image(im.w, im.h, im.c);
+ return bright;
+ }
+ */
+
+ float bilinear_interpolate(image im, float x, float y, int c)
+ {
+ int ix = (int) floorf(x);
+ 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;
+ }
+
+#include "cuda.h"
+
+ 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 sat2 = copy_image(im);
+ saturate_image(sat2, 2);
+
+ image sat5 = copy_image(im);
+ saturate_image(sat5, .5);
+
+ image exp2 = copy_image(im);
+ exposure_image(exp2, 2);
+
+ image exp5 = copy_image(im);
+ exposure_image(exp5, .5);
+
+#ifdef GPU
+ image r = resize_image(im, im.w, im.h);
+ image black = make_image(im.w*2 + 3, im.h*2 + 3, 9);
+ image black2 = make_image(im.w, im.h, 3);
+
+ float *r_gpu = cuda_make_array(r.data, r.w*r.h*r.c);
+ float *black_gpu = cuda_make_array(black.data, black.w*black.h*black.c);
+ float *black2_gpu = cuda_make_array(black2.data, black2.w*black2.h*black2.c);
+ shortcut_gpu(3, r.w, r.h, 1, r_gpu, black.w, black.h, 3, black_gpu);
+ //flip_image(r);
+ //shortcut_gpu(3, r.w, r.h, 1, r.data, black.w, black.h, 3, black.data);
+
+ shortcut_gpu(3, black.w, black.h, 3, black_gpu, black2.w, black2.h, 1, black2_gpu);
+ cuda_pull_array(black_gpu, black.data, black.w*black.h*black.c);
+ cuda_pull_array(black2_gpu, black2.data, black2.w*black2.h*black2.c);
+ show_image_layers(black, "Black");
+ show_image(black2, "Recreate");
+#endif
+
+ show_image(im, "Original");
+ show_image(gray, "Gray");
+ show_image(sat2, "Saturation-2");
+ show_image(sat5, "Saturation-.5");
+ show_image(exp2, "Exposure-2");
+ show_image(exp5, "Exposure-.5");
+#ifdef OPENCV
+ cvWaitKey(0);
+#endif
+ }
+
+#ifdef OPENCV
+ image ipl_to_image(IplImage* src)
+ {
+ unsigned char *data = (unsigned char *)src->imageData;
+ int h = src->height;
+ int w = src->width;
+ int c = src->nChannels;
+ int step = src->widthStep;
+ image out = make_image(w, h, c);
+ int i, j, k, count=0;;
+
+ for(k= 0; k < c; ++k){
+ for(i = 0; i < h; ++i){
+ for(j = 0; j < w; ++j){
+ out.data[count++] = data[i*step + j*c + k]/255.;
+ }
+ }
+ }
+ return out;
+ }
+
+ image load_image_cv(char *filename, int channels)
+ {
+ IplImage* src = 0;
+ int flag = -1;
+ if (channels == 0) flag = -1;
+ else if (channels == 1) flag = 0;
+ else if (channels == 3) flag = 1;
+ else {
+ fprintf(stderr, "OpenCV can't force load with %d channels\n", channels);
+ }
+
+ if( (src = cvLoadImage(filename, flag)) == 0 )
+ {
+ 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;
+ }
+
+#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
+ image out = load_image_cv(filename, c);
+#else
+ image out = load_image_stb(filename, c);
+#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 w, int h)
+ {
+ return load_image(filename, w, h, 3);
+ }
+
+ image get_image_layer(image m, int l)
+ {
+ 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;
+ }
+
+ float get_pixel(image m, int x, int y, int c)
+ {
+ assert(x < m.w && y < m.h && c < m.c);
+ return m.data[c*m.h*m.w + y*m.w + x];
+ }
+ float get_pixel_extend(image m, int x, int y, int c)
+ {
+ if(x < 0 || x >= m.w || y < 0 || y >= m.h || c < 0 || c >= m.c) return 0;
+ return get_pixel(m, x, y, c);
+ }
+ void set_pixel(image m, int x, int y, int c, float val)
+ {
+ assert(x < m.w && y < m.h && c < m.c);
+ m.data[c*m.h*m.w + y*m.w + x] = val;
+ }
+ void add_pixel(image m, int x, int y, int c, float val)
+ {
+ assert(x < m.w && y < m.h && c < m.c);
+ m.data[c*m.h*m.w + y*m.w + x] += val;
+ }
+
+ void print_image(image m)
+ {
+ int i, j, k;
+ for(i =0 ; i < m.c; ++i){
+ for(j =0 ; j < m.h; ++j){
+ for(k = 0; k < m.w; ++k){
+ printf("%.2lf, ", m.data[i*m.h*m.w + j*m.w + k]);
+ if(k > 30) break;
+ }
+ printf("\n");
+ if(j > 30) break;
+ }
+ printf("\n");
+ }
+ printf("\n");
+ }
+
+ image collapse_images_vert(image *ims, int n)
+ {
+ int color = 1;
+ int border = 1;
+ int h,w,c;
+ w = ims[0].w;
+ h = (ims[0].h + border) * n - border;
+ c = ims[0].c;
+ if(c != 3 || !color){
+ w = (w+border)*c - border;
+ c = 1;
+ }
+
+ 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, 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, w_offset, h_offset);
+ free_image(layer);
+ }
+ }
+ free_image(copy);
+ }
+ return filters;
+ }
+
+ image collapse_images_horz(image *ims, int n)
+ {
+ int color = 1;
+ int border = 1;
+ int h,w,c;
+ int size = ims[0].h;
+ h = size;
+ w = (ims[0].w + border) * n - border;
+ c = ims[0].c;
+ if(c != 3 || !color){
+ h = (h+border)*c - border;
+ c = 1;
+ }
+
+ 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, 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, w_offset, h_offset);
+ free_image(layer);
+ }
+ }
+ free_image(copy);
+ }
+ 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);
+ image sized = resize_image(m, m.w, m.h);
+ save_image(sized, window);
+ show_image(sized, window);
+ free_image(sized);
+ free_image(m);
+ }
+
+ void free_image(image m)
+ {
+ free(m.data);
+ }
--
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