6 files modified
1 files added
| New file |
| | |
| | | [net] |
| | | batch=64 |
| | | subdivisions=1 |
| | | height=256 |
| | | width=256 |
| | | channels=3 |
| | | learning_rate=0.00001 |
| | | momentum=0.9 |
| | | decay=0.0005 |
| | | seen=0 |
| | | |
| | | [crop] |
| | | crop_height=256 |
| | | crop_width=256 |
| | | flip=0 |
| | | angle=0 |
| | | saturation=1 |
| | | exposure=1 |
| | | |
| | | [convolutional] |
| | | filters=32 |
| | | size=3 |
| | | stride=1 |
| | | pad=1 |
| | | activation=ramp |
| | | |
| | | [convolutional] |
| | | filters=32 |
| | | size=3 |
| | | stride=1 |
| | | pad=1 |
| | | activation=ramp |
| | | |
| | | [convolutional] |
| | | filters=32 |
| | | size=3 |
| | | stride=1 |
| | | pad=1 |
| | | activation=ramp |
| | | |
| | | [convolutional] |
| | | filters=1 |
| | | size=5 |
| | | stride=1 |
| | | pad=1 |
| | | activation=logistic |
| | | |
| | | [cost] |
| | | |
| | |
| | | X.cols = 0; |
| | | |
| | | for(i = 0; i < n; ++i){ |
| | | image im = load_image(paths[i], w, h, 1); |
| | | image im = load_image(paths[i], w, h, 3); |
| | | |
| | | image gray = grayscale_image(im); |
| | | free_image(im); |
| | | im = gray; |
| | | |
| | | X.vals[i] = im.data; |
| | | X.cols = im.h*im.w*im.c; |
| | | } |
| | |
| | | return thread; |
| | | } |
| | | |
| | | data load_data_writing(char **paths, int n, int m, int w, int h) |
| | | data load_data_writing(char **paths, int n, int m, int w, int h, int downsample) |
| | | { |
| | | if(m) paths = get_random_paths(paths, n, m); |
| | | char **replace_paths = find_replace_paths(paths, n, ".png", "-label.png"); |
| | | data d; |
| | | d.shallow = 0; |
| | | d.X = load_image_paths(paths, n, w, h); |
| | | d.y = load_image_paths_gray(replace_paths, n, w/8, h/8); |
| | | d.y = load_image_paths_gray(replace_paths, n, w/downsample, h/downsample); |
| | | if(m) free(paths); |
| | | int i; |
| | | for(i = 0; i < n; ++i) free(replace_paths[i]); |
| | |
| | | data load_cifar10_data(char *filename); |
| | | data load_all_cifar10(); |
| | | |
| | | data load_data_writing(char **paths, int n, int m, int w, int h); |
| | | data load_data_writing(char **paths, int n, int m, int w, int h, int downsample); |
| | | |
| | | list *get_paths(char *filename); |
| | | char **get_labels(char *filename); |
| | |
| | | } |
| | | cvShowImage(buff, disp); |
| | | cvReleaseImage(&disp); |
| | | } |
| | | } |
| | | #endif |
| | | |
| | | void show_image(image p, char *name) |
| | | { |
| | | void show_image(image p, char *name) |
| | | { |
| | | #ifdef OPENCV |
| | | show_image_cv(p, name); |
| | | show_image_cv(p, name); |
| | | #else |
| | | fprintf(stderr, "Not compiled with OpenCV, saving to %s.png instead\n", name); |
| | | save_image(p, name); |
| | | fprintf(stderr, "Not compiled with OpenCV, saving to %s.png instead\n", name); |
| | | save_image(p, name); |
| | | #endif |
| | | } |
| | | } |
| | | |
| | | void save_image(image im, 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]); |
| | | } |
| | | void save_image(image im, 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); |
| | | } |
| | | 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); |
| | | } |
| | | |
| | | #ifdef OPENCV |
| | | void save_image_jpg(image p, char *name) |
| | | { |
| | | image copy = copy_image(p); |
| | | rgbgr_image(copy); |
| | | int x,y,k; |
| | | 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); |
| | | 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 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 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; |
| | | } |
| | | |
| | | 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); |
| | | 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 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; |
| | | 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 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; |
| | | } |
| | | |
| | | 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 { |
| | | 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; |
| | | } |
| | | h = 4 + (r - g) / delta; |
| | | } |
| | | set_pixel(im, i, j, 0, r); |
| | | set_pixel(im, i, j, 1, g); |
| | | set_pixel(im, i, j, 2, b); |
| | | 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); |
| | | } |
| | | } |
| | | } |
| | | |
| | | image grayscale_image(image im) |
| | | { |
| | | assert(im.c == 3); |
| | | int i, j, k; |
| | | image gray = make_image(im.w, im.h, im.c); |
| | | 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); |
| | | 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); |
| | | } |
| | | 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 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; |
| | | 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){ |
| | | float pix = get_pixel(im, i, j, c); |
| | | pix = pix*v; |
| | | set_pixel(im, i, j, c, pix); |
| | | gray.data[i+im.w*j] += scale[k]*get_pixel(im, i, j, k); |
| | | } |
| | | } |
| | | } |
| | | return gray; |
| | | } |
| | | |
| | | 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){ |
| | | 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) continue; |
| | | for(c = 0; c < w; ++c){ |
| | | float val = dy * get_pixel(part, c, iy+1, k); |
| | | add_pixel(resized, c, r, k, val); |
| | | } |
| | | } |
| | | } |
| | | |
| | | void saturate_image(image im, float sat) |
| | | { |
| | | rgb_to_hsv(im); |
| | | scale_image_channel(im, 1, sat); |
| | | hsv_to_rgb(im); |
| | | constrain_image(im); |
| | | } |
| | | free_image(part); |
| | | return resized; |
| | | } |
| | | |
| | | 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 test_resize(char *filename) |
| | | { |
| | | image im = load_image(filename, 0,0, 3); |
| | | image gray = grayscale_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 sat2 = copy_image(im); |
| | | saturate_image(sat2, 2); |
| | | |
| | | /* |
| | | 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 sat5 = copy_image(im); |
| | | saturate_image(sat5, .5); |
| | | |
| | | image brightness_image(image im, float b) |
| | | { |
| | | image bright = make_image(im.w, im.h, im.c); |
| | | return bright; |
| | | } |
| | | */ |
| | | image exp2 = copy_image(im); |
| | | exposure_image(exp2, 2); |
| | | |
| | | float bilinear_interpolate(image im, float x, float y, int c) |
| | | { |
| | | int ix = (int) floorf(x); |
| | | int iy = (int) floorf(y); |
| | | image exp5 = copy_image(im); |
| | | exposure_image(exp5, .5); |
| | | |
| | | 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){ |
| | | 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) 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); |
| | | 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); |
| | | |
| | | 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"); |
| | | 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); |
| | | 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;; |
| | | 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.; |
| | | } |
| | | 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; |
| | | } |
| | | 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); |
| | | } |
| | | |
| | | image load_image_cv(char *filename, int channels) |
| | | if( (src = cvLoadImage(filename, flag)) == 0 ) |
| | | { |
| | | 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 ) |
| | | { |
| | | printf("Cannot load file image %s\n", filename); |
| | | exit(0); |
| | | } |
| | | image out = ipl_to_image(src); |
| | | cvReleaseImage(&src); |
| | | rgbgr_image(out); |
| | | return out; |
| | | printf("Cannot load file image %s\n", filename); |
| | | 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 file 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.; |
| | | } |
| | | 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 file 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; |
| | | } |
| | | free(data); |
| | | return im; |
| | | } |
| | | |
| | | image load_image(char *filename, int w, int h, int c) |
| | | { |
| | | image load_image(char *filename, int w, int h, int c) |
| | | { |
| | | #ifdef OPENCV |
| | | image out = load_image_cv(filename, c); |
| | | image out = load_image_cv(filename, c); |
| | | #else |
| | | image out = load_image_stb(filename, c); |
| | | 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; |
| | | 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 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; |
| | | 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; |
| | | } |
| | | 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; |
| | | 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_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); |
| | | 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; |
| | | } |
| | | |
| | | void free_image(image m) |
| | | { |
| | | free(m.data); |
| | | 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_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); |
| | | } |
| | |
| | | if(state.train){ |
| | | float avg_iou = 0; |
| | | float avg_cat = 0; |
| | | float avg_allcat = 0; |
| | | float avg_obj = 0; |
| | | float avg_anyobj = 0; |
| | | int count = 0; |
| | |
| | | l.delta[class_index+j] = l.class_scale * (state.truth[truth_index+1+j] - l.output[class_index+j]); |
| | | *(l.cost) += l.class_scale * pow(state.truth[truth_index+1+j] - l.output[class_index+j], 2); |
| | | if(state.truth[truth_index + 1 + j]) avg_cat += l.output[class_index+j]; |
| | | avg_allcat += l.output[class_index+j]; |
| | | } |
| | | |
| | | box truth = float_to_box(state.truth + truth_index + 1 + l.classes); |
| | |
| | | LOGISTIC, l.delta + index + locations*l.classes); |
| | | } |
| | | } |
| | | printf("Region Avg IOU: %f, Avg Cat Pred: %f, Avg Obj: %f, Avg Any: %f, count: %d\n", avg_iou/count, avg_cat/count, avg_obj/count, avg_anyobj/(l.batch*locations*l.n), count); |
| | | printf("Region Avg IOU: %f, Pos Cat: %f, All Cat: %f, Pos Obj: %f, Any Obj: %f, count: %d\n", avg_iou/count, avg_cat/count, avg_allcat/(count*l.classes), avg_obj/count, avg_anyobj/(l.batch*locations*l.n), count); |
| | | } |
| | | } |
| | | |
| | |
| | | void convert_swag_detections(float *predictions, int classes, int num, int square, int side, int w, int h, float thresh, float **probs, box *boxes) |
| | | { |
| | | int i,j,n; |
| | | int per_cell = 5*num+classes; |
| | | //int per_cell = 5*num+classes; |
| | | for (i = 0; i < side*side; ++i){ |
| | | int row = i / side; |
| | | int col = i % side; |
| | | for(n = 0; n < num; ++n){ |
| | | int offset = i*per_cell + 5*n; |
| | | float scale = predictions[offset]; |
| | | int index = i*num + n; |
| | | boxes[index].x = (predictions[offset + 1] + col) / side * w; |
| | | boxes[index].y = (predictions[offset + 2] + row) / side * h; |
| | | boxes[index].w = pow(predictions[offset + 3], (square?2:1)) * w; |
| | | boxes[index].h = pow(predictions[offset + 4], (square?2:1)) * h; |
| | | int p_index = side*side*classes + i*num + n; |
| | | float scale = predictions[p_index]; |
| | | int box_index = side*side*(classes + num) + (i*num + n)*4; |
| | | boxes[index].x = (predictions[box_index + 0] + col) / side * w; |
| | | boxes[index].y = (predictions[box_index + 1] + row) / side * h; |
| | | boxes[index].w = pow(predictions[box_index + 2], (square?2:1)) * w; |
| | | boxes[index].h = pow(predictions[box_index + 3], (square?2:1)) * h; |
| | | for(j = 0; j < classes; ++j){ |
| | | offset = i*per_cell + 5*num; |
| | | float prob = scale*predictions[offset+j]; |
| | | int class_index = i*classes; |
| | | float prob = scale*predictions[class_index+j]; |
| | | probs[index][j] = (prob > thresh) ? prob : 0; |
| | | } |
| | | } |
| | |
| | | #include "utils.h" |
| | | #include "parser.h" |
| | | |
| | | #ifdef OPENCV |
| | | #include "opencv2/highgui/highgui_c.h" |
| | | #endif |
| | | |
| | | void train_writing(char *cfgfile, char *weightfile) |
| | | { |
| | | char *backup_directory = "/home/pjreddie/backup/"; |
| | | data_seed = time(0); |
| | | srand(time(0)); |
| | | float avg_loss = -1; |
| | |
| | | while(1){ |
| | | ++i; |
| | | time=clock(); |
| | | data train = load_data_writing(paths, imgs, plist->size, 512, 512); |
| | | data train = load_data_writing(paths, imgs, plist->size, 256, 256, 1); |
| | | printf("Loaded %lf seconds\n",sec(clock()-time)); |
| | | time=clock(); |
| | | float loss = train_network(net, train); |
| | | #ifdef GPU |
| | | float *out = get_network_output_gpu(net); |
| | | #else |
| | | float *out = get_network_output(net); |
| | | #endif |
| | | |
| | | /* |
| | | image pred = float_to_image(64, 64, 1, out); |
| | | print_image(pred); |
| | | |
| | | /* |
| | | image im = float_to_image(256, 256, 3, train.X.vals[0]); |
| | | image lab = float_to_image(64, 64, 1, train.y.vals[0]); |
| | | image pred = float_to_image(64, 64, 1, out); |
| | | show_image(im, "image"); |
| | | show_image(lab, "label"); |
| | | print_image(lab); |
| | | show_image(pred, "pred"); |
| | | cvWaitKey(0); |
| | | */ |
| | | |
| | | /* |
| | | image im = float_to_image(256, 256, 3, train.X.vals[0]); |
| | | image lab = float_to_image(64, 64, 1, train.y.vals[0]); |
| | | image pred = float_to_image(64, 64, 1, out); |
| | | show_image(im, "image"); |
| | | show_image(lab, "label"); |
| | | print_image(lab); |
| | | show_image(pred, "pred"); |
| | | cvWaitKey(0); |
| | | */ |
| | | |
| | | if(avg_loss == -1) avg_loss = loss; |
| | | avg_loss = avg_loss*.9 + loss*.1; |
| | | printf("%d: %f, %f avg, %lf seconds, %d images\n", i, loss, avg_loss, sec(clock()-time), *net.seen); |
| | | free_data(train); |
| | | if((i % 20000) == 0) net.learning_rate *= .1; |
| | | //if(i%100 == 0 && net.learning_rate > .00001) net.learning_rate *= .97; |
| | | if(i%1000==0){ |
| | | char buff[256]; |
| | | sprintf(buff, "/home/pjreddie/imagenet_backup/%s_%d.weights",base, i); |
| | | sprintf(buff, "%s/%s_%d.weights", backup_directory, base, i); |
| | | save_weights(net, buff); |
| | | } |
| | | } |
| | | } |
| | | |
| | | void test_writing(char *cfgfile, char *weightfile, char *outfile) |
| | | { |
| | | network net = parse_network_cfg(cfgfile); |
| | | if(weightfile){ |
| | | load_weights(&net, weightfile); |
| | | } |
| | | set_batch_network(&net, 1); |
| | | srand(2222222); |
| | | clock_t time; |
| | | char filename[256]; |
| | | |
| | | fgets(filename, 256, stdin); |
| | | strtok(filename, "\n"); |
| | | image im = load_image_color(filename, 0, 0); |
| | | //image im = load_image_color("/home/pjreddie/darknet/data/figs/C02-1001-Figure-1.png", 0, 0); |
| | | image sized = resize_image(im, net.w, net.h); |
| | | printf("%d %d %d\n", im.h, im.w, im.c); |
| | | float *X = sized.data; |
| | | time=clock(); |
| | | network_predict(net, X); |
| | | printf("%s: Predicted in %f seconds.\n", filename, sec(clock()-time)); |
| | | image pred = get_network_image(net); |
| | | |
| | | if (outfile) { |
| | | printf("Save image as %s.png (shape: %d %d)\n", outfile, pred.w, pred.h); |
| | | save_image(pred, outfile); |
| | | } else { |
| | | show_image(pred, "prediction"); |
| | | #ifdef OPENCV |
| | | cvWaitKey(0); |
| | | cvDestroyAllWindows(); |
| | | #endif |
| | | } |
| | | |
| | | free_image(im); |
| | | free_image(sized); |
| | | } |
| | | |
| | | void run_writing(int argc, char **argv) |
| | | { |
| | | if(argc < 4){ |
| | |
| | | |
| | | char *cfg = argv[3]; |
| | | char *weights = (argc > 4) ? argv[4] : 0; |
| | | char *outfile = (argc > 5) ? argv[5] : 0; |
| | | if(0==strcmp(argv[2], "train")) train_writing(cfg, weights); |
| | | else if(0==strcmp(argv[2], "test")) test_writing(cfg, weights, outfile); |
| | | } |
| | | |