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https://github.com/pjreddie/darknet.git
synced 2023-08-10 21:13:14 +03:00
faster resize?
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parent
38bd6ae6ba
commit
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@ -1,6 +1,6 @@
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[net]
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batch=64
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subdivisions=64
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subdivisions=2
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height=448
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width=448
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channels=3
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21
src/data.c
21
src/data.c
@ -425,10 +425,18 @@ data load_data_detection_jitter_random(int n, char **paths, int m, int classes,
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d.X.vals = calloc(d.X.rows, sizeof(float*));
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d.X.cols = h*w*3;
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clock_t time;
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clock_t load = 0;
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clock_t resize = 0;
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clock_t crop = 0;
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int k = num_boxes*num_boxes*(4+classes+background);
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d.y = make_matrix(n, k);
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for(i = 0; i < n; ++i){
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time=clock();
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image orig = load_image_color(random_paths[i], 0, 0);
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load += clock() - time;
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time = clock();
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int oh = orig.h;
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int ow = orig.w;
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@ -456,17 +464,26 @@ data load_data_detection_jitter_random(int n, char **paths, int m, int classes,
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int flip = rand_r(&data_seed)%2;
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image cropped = crop_image(orig, pleft, ptop, swidth, sheight);
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crop += clock() - time;
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time = clock();
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float dx = ((float)pleft/ow)/sx;
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float dy = ((float)ptop /oh)/sy;
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free_image(orig);
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image sized = resize_image(cropped, w, h);
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free_image(cropped);
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if(flip) flip_image(sized);
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d.X.vals[i] = sized.data;
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resize += clock() - time;
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time = clock();
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fill_truth_detection(random_paths[i], d.y.vals[i], classes, num_boxes, flip, background, dx, dy, 1./sx, 1./sy);
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free_image(orig);
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free_image(cropped);
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}
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printf("load: %f, crop: %f, resize: %f\n", sec(load), sec(crop), sec(resize));
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free(random_paths);
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return d;
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}
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50
src/image.c
50
src/image.c
@ -584,6 +584,51 @@ image resize_image(image im, int w, int h)
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return resized;
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}
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image resize_image2(image im, int w, int h)
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{
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image resized = make_image(w, h, im.c);
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image part = make_image(w, im.h, im.c);
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int r, c, k;
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float w_scale = (float)(im.w - 1) / (w - 1);
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float h_scale = (float)(im.h - 1) / (h - 1);
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for(k = 0; k < im.c; ++k){
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for(r = 0; r < im.h; ++r){
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for(c = 0; c < w; ++c){
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float val = 0;
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if(c == w-1){
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val = get_pixel(im, im.w-1, r, k);
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} else {
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float sx = c*w_scale;
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int ix = (int) sx;
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float dx = sx - ix;
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val = (1 - dx) * get_pixel(im, ix, r, k) + dx * get_pixel(im, ix+1, r, k);
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}
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set_pixel(part, c, r, k, val);
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}
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}
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}
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for(k = 0; k < im.c; ++k){
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for(r = 0; r < h; ++r){
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float sy = r*h_scale;
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int iy = (int) sy;
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float dy = sy - iy;
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for(c = 0; c < w; ++c){
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float val = (1-dy) * get_pixel(part, c, iy, k);
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set_pixel(resized, c, r, k, val);
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}
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if(r == h-1) continue;
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for(c = 0; c < w; ++c){
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float val = dy * get_pixel(part, c, iy+1, k);
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add_pixel(resized, c, r, k, val);
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}
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}
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}
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free_image(part);
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return resized;
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}
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void test_resize(char *filename)
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{
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image im = load_image(filename, 0,0, 3);
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@ -728,6 +773,11 @@ void set_pixel(image m, int x, int y, int c, float val)
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assert(x < m.w && y < m.h && c < m.c);
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m.data[c*m.h*m.w + y*m.w + x] = val;
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}
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void add_pixel(image m, int x, int y, int c, float val)
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{
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assert(x < m.w && y < m.h && c < m.c);
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m.data[c*m.h*m.w + y*m.w + x] += val;
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}
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void print_image(image m)
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{
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@ -28,6 +28,7 @@ image image_distance(image a, image b);
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void scale_image(image m, float s);
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image crop_image(image im, int dx, int dy, int w, int h);
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image resize_image(image im, int w, int h);
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image resize_image2(image im, int w, int h);
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void translate_image(image m, float s);
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void normalize_image(image p);
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image rotate_image(image m, float rad);
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@ -62,6 +63,7 @@ image load_image_color(char *filename, int w, int h);
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float get_pixel(image m, int x, int y, int c);
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float get_pixel_extend(image m, int x, int y, int c);
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void set_pixel(image m, int x, int y, int c, float val);
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void add_pixel(image m, int x, int y, int c, float val);
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float billinear_interpolate(image im, float x, float y, int c);
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image get_image_layer(image m, int l);
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