| | |
| | | #include "image.h" |
| | | #include "utils.h" |
| | | #include "blas.h" |
| | | #include <stdio.h> |
| | | #include <math.h> |
| | | |
| | | #ifdef OPENCV |
| | | #include "opencv2/highgui/highgui_c.h" |
| | | #include "opencv2/imgproc/imgproc_c.h" |
| | | #endif |
| | | |
| | | #define STB_IMAGE_IMPLEMENTATION |
| | | #include "stb_image.h" |
| | | #define STB_IMAGE_WRITE_IMPLEMENTATION |
| | |
| | | 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_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 flip_image(image a) |
| | | { |
| | | int i,j,k; |
| | |
| | | } |
| | | |
| | | #ifdef OPENCV |
| | | void show_image_cv(image p, char *name) |
| | | void show_image_cv(image p, const char *name) |
| | | { |
| | | int x,y,k; |
| | | image copy = copy_image(p); |
| | | rgbgr_image(copy); |
| | | 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 < 448 || disp->width < 448 || disp->height > 1000){ |
| | | 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){ |
| | |
| | | } |
| | | #endif |
| | | |
| | | void show_image(image p, char *name) |
| | | void show_image(image p, const char *name) |
| | | { |
| | | #ifdef OPENCV |
| | | #ifdef OPENCV |
| | | show_image_cv(p, name); |
| | | #else |
| | | #else |
| | | fprintf(stderr, "Not compiled with OpenCV, saving to %s.png instead\n", name); |
| | | save_image(p, name); |
| | | #endif |
| | | #endif |
| | | } |
| | | |
| | | void save_image(image im, char *name) |
| | | void save_image(image im, const char *name) |
| | | { |
| | | char buff[256]; |
| | | //sprintf(buff, "%s (%d)", name, windows); |
| | |
| | | } |
| | | } |
| | | 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_cv(image p, char *name) |
| | | #ifdef OPENCV |
| | | void save_image_jpg(image p, char *name) |
| | | { |
| | | int x,y,k; |
| | | image copy = copy_image(p); |
| | | //normalize_image(copy); |
| | | rgbgr_image(copy); |
| | | int x,y,k; |
| | | |
| | | char buff[256]; |
| | | //sprintf(buff, "%s (%d)", name, windows); |
| | | sprintf(buff, "%s.png", name); |
| | | sprintf(buff, "%s.jpg", name); |
| | | |
| | | IplImage *disp = cvCreateImage(cvSize(p.w,p.h), IPL_DEPTH_8U, p.c); |
| | | int step = disp->widthStep; |
| | |
| | | } |
| | | } |
| | | } |
| | | free_image(copy); |
| | | cvSaveImage(buff, disp,0); |
| | | cvReleaseImage(&disp); |
| | | free_image(copy); |
| | | } |
| | | */ |
| | | #endif |
| | | |
| | | void show_image_layers(image p, char *name) |
| | | { |
| | |
| | | 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); |
| | | float val = bilinear_interpolate(im, rx, ry, c); |
| | | set_pixel(rot, x, y, c, val); |
| | | } |
| | | } |
| | |
| | | { |
| | | assert(im.c == 3); |
| | | int i, j, k; |
| | | image gray = make_image(im.w, im.h, im.c); |
| | | 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){ |
| | |
| | | } |
| | | } |
| | | } |
| | | 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); |
| | |
| | | } |
| | | */ |
| | | |
| | | 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; |
| | | } |
| | | |
| | |
| | | image exp5 = copy_image(im); |
| | | exposure_image(exp5, .5); |
| | | |
| | | image r = resize_image(im, im.w/2, im.h/2); |
| | | |
| | | image black = make_image(im.w, im.h, im.c); |
| | | shortcut_cpu(black.data, im.w, im.h, im.c, 1, 2, r.data, 1, r.c); |
| | | |
| | | show_image(im, "Original"); |
| | | show_image(gray, "Gray"); |
| | | show_image(black, "Black"); |
| | | show_image(sat2, "Saturation-2"); |
| | | show_image(sat5, "Saturation-.5"); |
| | | show_image(exp2, "Exposure-2"); |
| | | show_image(exp5, "Exposure-.5"); |
| | | #ifdef OPENCV |
| | | #ifdef OPENCV |
| | | cvWaitKey(0); |
| | | #endif |
| | | #endif |
| | | } |
| | | |
| | | #ifdef OPENCV |
| | |
| | | else { |
| | | fprintf(stderr, "OpenCV can't force load with %d channels\n", channels); |
| | | } |
| | | |
| | | |
| | | if( (src = cvLoadImage(filename, flag)) == 0 ) |
| | | { |
| | | printf("Cannot load file image %s\n", filename); |
| | | printf("Cannot load image \"%s\"\n", filename); |
| | | exit(0); |
| | | } |
| | | image out = ipl_to_image(src); |
| | |
| | | int w, h, c; |
| | | unsigned char *data = stbi_load(filename, &w, &h, &c, channels); |
| | | if (!data) { |
| | | fprintf(stderr, "Cannot load file image %s\nSTB Reason: %s\n", filename, stbi_failure_reason()); |
| | | fprintf(stderr, "Cannot load image \"%s\"\nSTB Reason: %s\n", filename, stbi_failure_reason()); |
| | | exit(0); |
| | | } |
| | | if(channels) c = channels; |
| | |
| | | |
| | | image load_image(char *filename, int w, int h, int c) |
| | | { |
| | | #ifdef OPENCV |
| | | #ifdef OPENCV |
| | | image out = load_image_cv(filename, c); |
| | | #else |
| | | #else |
| | | image out = load_image_stb(filename, c); |
| | | #endif |
| | | #endif |
| | | |
| | | if((h && w) && (h != out.h || w != out.w)){ |
| | | image resized = resize_image(out, w, h); |
| | |
| | | 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) |
| | | { |
| | |
| | | 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); |
| | | } |
| | | |