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https://github.com/pjreddie/darknet.git
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Minor fix
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20288
scripts/testdev2017.txt
Normal file
20288
scripts/testdev2017.txt
Normal file
File diff suppressed because it is too large
Load Diff
@ -1,3 +1,4 @@
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#include <stdlib.h>
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#include "darknet.h"
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#include "network.h"
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#include "region_layer.h"
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@ -424,7 +425,9 @@ static int get_coco_image_id(char *filename)
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static void print_cocos(FILE *fp, char *image_path, detection *dets, int num_boxes, int classes, int w, int h)
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{
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int i, j;
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int image_id = get_coco_image_id(image_path);
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//int image_id = get_coco_image_id(image_path);
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char *p = basecfg(image_path);
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int image_id = atoi(p);
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for (i = 0; i < num_boxes; ++i) {
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float xmin = dets[i].bbox.x - dets[i].bbox.w / 2.;
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float xmax = dets[i].bbox.x + dets[i].bbox.w / 2.;
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@ -442,7 +445,12 @@ static void print_cocos(FILE *fp, char *image_path, detection *dets, int num_box
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float bh = ymax - ymin;
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for (j = 0; j < classes; ++j) {
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if (dets[i].prob[j] > 0) fprintf(fp, "{\"image_id\":%d, \"category_id\":%d, \"bbox\":[%f, %f, %f, %f], \"score\":%f},\n", image_id, coco_ids[j], bx, by, bw, bh, dets[i].prob[j]);
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if (dets[i].prob[j] > 0) {
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char buff[1024];
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sprintf(buff, "{\"image_id\":%d, \"category_id\":%d, \"bbox\":[%f, %f, %f, %f], \"score\":%f},\n", image_id, coco_ids[j], bx, by, bw, bh, dets[i].prob[j]);
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fprintf(fp, buff);
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//printf("%s", buff);
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}
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}
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}
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}
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@ -605,6 +613,8 @@ void validate_detector(char *datacfg, char *cfgfile, char *weightfile, char *out
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load_weights(&net, weightfile);
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}
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//set_batch_network(&net, 1);
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fuse_conv_batchnorm(net);
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calculate_binary_weights(net);
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fprintf(stderr, "Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
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srand(time(0));
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@ -668,7 +678,7 @@ void validate_detector(char *datacfg, char *cfgfile, char *weightfile, char *out
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int i = 0;
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int t;
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float thresh = .005;
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float thresh = .001;
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float nms = .45;
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int nthreads = 4;
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