mirror of https://github.com/AlexeyAB/darknet.git
Fixed ./darknet detect ...
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97038fefa6
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580b2fb83c
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@ -753,6 +753,7 @@ LIB_API void reset_rnn(network *net);
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LIB_API float *network_predict_image(network *net, image im);
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LIB_API float validate_detector_map(char *datacfg, char *cfgfile, char *weightfile, float thresh_calc_avg_iou, const float iou_thresh, network *existing_net);
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LIB_API void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, int ngpus, int clear, int dont_show, int calc_map);
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LIB_API void test_detector(char *datacfg, char *cfgfile, char *weightfile, char *filename, float thresh, int ext_output);
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LIB_API int network_width(network *net);
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LIB_API int network_height(network *net);
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LIB_API void optimize_picture(network *net, image orig, int max_layer, float scale, float rate, float thresh, int norm);
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@ -2,6 +2,7 @@
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#include <stdlib.h>
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#include <stdio.h>
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#include "darknet.h"
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#include "parser.h"
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#include "utils.h"
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#include "cuda.h"
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@ -13,7 +14,6 @@
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#endif
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extern void predict_classifier(char *datacfg, char *cfgfile, char *weightfile, char *filename, int top);
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extern void test_detector(char *datacfg, char *cfgfile, char *weightfile, char *filename, float thresh, int ext_output);
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extern void run_voxel(int argc, char **argv);
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extern void run_yolo(int argc, char **argv);
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extern void run_detector(int argc, char **argv);
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@ -397,7 +397,7 @@ int main(int argc, char **argv)
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float thresh = find_float_arg(argc, argv, "-thresh", .24);
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int ext_output = find_arg(argc, argv, "-ext_output");
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char *filename = (argc > 4) ? argv[4]: 0;
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test_detector("cfg/coco.data", argv[2], argv[3], filename, thresh, ext_output);
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test_detector("cfg/coco.data", argv[2], argv[3], filename, thresh, 0.5, 0, 1, 0, NULL);
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} else if (0 == strcmp(argv[1], "cifar")){
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run_cifar(argc, argv);
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} else if (0 == strcmp(argv[1], "go")){
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