| | |
| | | #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} }; |
| | |
| | | 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); |
| | |
| | | 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 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; |
| | | width = 8; |
| | | 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; |
| | | } |
| | | } |
| | | } |
| | | } |
| | | } |
| | | |
| | |
| | | return copy; |
| | | } |
| | | |
| | | void show_image(image p, char *name) |
| | | void rgbgr_image(image im) |
| | | { |
| | | 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); |
| | | constrain_image(copy); |
| | | if(p.c == 3) rgbgr_image(copy); |
| | | //normalize_image(copy); |
| | | |
| | | char buff[256]; |
| | |
| | | |
| | | 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(y = 0; y < p.h; ++y){ |
| | |
| | | } |
| | | } |
| | | free_image(copy); |
| | | if(disp->height < 500 || disp->width < 500 || disp->height > 1000){ |
| | | int w = 500; |
| | | 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; |
| | |
| | | } |
| | | 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); |
| | | } |
| | | } |
| | | #endif |
| | | |
| | | void save_image(image p, char *name) |
| | | { |
| | | int x,y,k; |
| | | image copy = copy_image(p); |
| | | //normalize_image(copy); |
| | | 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 |
| | | } |
| | | |
| | | 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(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); |
| | | 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); |
| | | } |
| | | free_image(copy); |
| | | cvSaveImage(buff, disp,0); |
| | | cvReleaseImage(&disp); |
| | | } |
| | | |
| | | 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); |
| | | #ifdef OPENCV |
| | | 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; |
| | | } |
| | | } |
| | | #endif |
| | | |
| | | void show_image_collapsed(image p, char *name) |
| | | { |
| | | image c = collapse_image_layers(p, 1); |
| | | show_image(c, name); |
| | | free_image(c); |
| | | } |
| | | #ifdef OPENCV |
| | | void save_image_jpg(image p, char *name) |
| | | { |
| | | image copy = copy_image(p); |
| | | rgbgr_image(copy); |
| | | int x,y,k; |
| | | |
| | | 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; |
| | | } |
| | | char buff[256]; |
| | | sprintf(buff, "%s.jpg", name); |
| | | |
| | | 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 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 = billinear_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 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 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); |
| | | 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); |
| | | } |
| | | set_pixel(cropped, i, j, k, val); |
| | | } |
| | | } |
| | | cvSaveImage(buff, disp,0); |
| | | cvReleaseImage(&disp); |
| | | free_image(copy); |
| | | } |
| | | return cropped; |
| | | #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 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; |
| | | 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 cropped; |
| | | } |
| | | |
| | | int best_3d_shift_r(image a, image b, int min, int max) |
| | | { |
| | | 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); |
| | | } |
| | | |
| | | int best_3d_shift(image a, image b, int min, int max) |
| | | { |
| | | 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; |
| | | } |
| | | printf("%d %f\n", i, d); |
| | | free_image(c); |
| | | } |
| | | return best; |
| | | } |
| | | |
| | | void composite_3d(char *f1, char *f2, char *out) |
| | | { |
| | | 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); |
| | | |
| | | 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){ |
| | | image swap = a; |
| | | a = b; |
| | | b = swap; |
| | | shift = -shift; |
| | | printf("swapped, %d\n", shift); |
| | | } |
| | | else{ |
| | | printf("%d\n", shift); |
| | | } |
| | | |
| | | image c = crop_image(b, 0, 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 |
| | | } |
| | | |
| | | 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 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); |
| | | |
| | | if(resized.data != im.data) free_image(resized); |
| | | return crop; |
| | | } |
| | | |
| | | float three_way_max(float a, float b, float c) |
| | |
| | | float h, s, v; |
| | | for(j = 0; j < im.h; ++j){ |
| | | for(i = 0; i < im.w; ++i){ |
| | | r = get_pixel(im, i , j, 2); |
| | | r = get_pixel(im, i , j, 0); |
| | | g = get_pixel(im, i , j, 1); |
| | | b = get_pixel(im, i , j, 0); |
| | | 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; |
| | |
| | | r = v; g = p; b = q; |
| | | } |
| | | } |
| | | set_pixel(im, i, j, 2, r); |
| | | set_pixel(im, i, j, 0, r); |
| | | set_pixel(im, i, j, 1, g); |
| | | set_pixel(im, i, j, 0, b); |
| | | set_pixel(im, i, j, 2, b); |
| | | } |
| | | } |
| | | } |
| | |
| | | { |
| | | assert(im.c == 3); |
| | | int i, j, k; |
| | | image gray = make_image(im.w, im.h, im.c); |
| | | float scale[] = {0.114, 0.587, 0.299}; |
| | | 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){ |
| | |
| | | } |
| | | } |
| | | } |
| | | memcpy(gray.data + im.w*im.h*1, gray.data, sizeof(float)*im.w*im.h); |
| | | memcpy(gray.data + im.w*im.h*2, gray.data, sizeof(float)*im.w*im.h); |
| | | 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 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); |
| | |
| | | } |
| | | |
| | | /* |
| | | 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 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; |
| | | } |
| | | */ |
| | | image brightness_image(image im, float b) |
| | | { |
| | | image bright = make_image(im.w, im.h, im.c); |
| | | return bright; |
| | | } |
| | | */ |
| | | |
| | | float billinear_interpolate(image im, float x, float y, int c) |
| | | float bilinear_interpolate(image im, float x, float y, int c) |
| | | { |
| | | int ix = (int) floorf(x); |
| | | int iy = (int) floorf(y); |
| | |
| | | return val; |
| | | } |
| | | |
| | | // #wikipedia |
| | | 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 < h; ++r){ |
| | | for(r = 0; r < im.h; ++r){ |
| | | for(c = 0; c < w; ++c){ |
| | | float sx = c*w_scale; |
| | | float sy = r*h_scale; |
| | | float val = billinear_interpolate(im, sx, sy, k); |
| | | set_pixel(resized, c, r, k, val); |
| | | 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); |
| | | image small = resize_image(im, 65, 63); |
| | | image big = resize_image(im, 513, 512); |
| | | image crop = crop_image(im, 50, 10, 100, 100); |
| | | image crop2 = crop_image(im, -30, -50, 291, 400); |
| | | image rot = rotate_image(big, .02); |
| | | image rot2 = rotate_image(big, 3.14159265/2.); |
| | | image test = rotate_image(im, .6); |
| | | 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); |
| | | exposure_image(sat2, 2); |
| | | |
| | | image sat5 = copy_image(im); |
| | | saturate_image(sat5, 2); |
| | | exposure_image(sat5, .5); |
| | | saturate_image(sat5, .5); |
| | | |
| | | image exp2 = copy_image(im); |
| | | saturate_image(exp2, .5); |
| | | exposure_image(exp2, 2); |
| | | |
| | | image exp5 = copy_image(im); |
| | | saturate_image(exp5, .5); |
| | | exposure_image(exp5, .5); |
| | | |
| | | show_image(im, "original"); |
| | | show_image(gray, "gray"); |
| | | show_image(sat2, "sat2"); |
| | | show_image(sat5, "sat5"); |
| | | show_image(exp2, "exp2"); |
| | | show_image(exp5, "exp5"); |
| | | /* |
| | | show_image(small, "smaller"); |
| | | show_image(big, "bigger"); |
| | | show_image(crop, "crop"); |
| | | show_image(crop2, "crop2"); |
| | | show_image(rot, "rot"); |
| | | show_image(rot2, "rot2"); |
| | | show_image(test, "test"); |
| | | */ |
| | | image bin = binarize_image(im); |
| | | |
| | | #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(bin, "Binary"); |
| | | 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) |
| | | { |
| | | IplImage* src = 0; |
| | | if( (src = cvLoadImage(filename, 1)) == 0 ) |
| | | { |
| | | printf("Cannot load file image %s\n", filename); |
| | | exit(0); |
| | | } |
| | | image out = ipl_to_image(src); |
| | | if((h && w) && (h != out.h || w != out.w)){ |
| | | image resized = resize_image(out, w, h); |
| | | free_image(out); |
| | | out = resized; |
| | | } |
| | | cvReleaseImage(&src); |
| | | return out; |
| | | } |
| | | |
| | | image load_image(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); |
| | | } |
| | | image out = ipl_to_image(src); |
| | | if((h && w) && (h != out.h || w != out.w)){ |
| | | image resized = resize_image(out, w, h); |
| | | free_image(out); |
| | | out = resized; |
| | | } |
| | | cvReleaseImage(&src); |
| | | return out; |
| | | return load_image(filename, w, h, 3); |
| | | } |
| | | |
| | | image get_image_layer(image m, int l) |
| | |
| | | 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) |
| | | { |
| | |
| | | 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); |
| | | save_image(m, window); |
| | | show_image(m, window); |
| | | /* |
| | | 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); |
| | | } |
| | | |