| | |
| | | |
| | | #ifdef OPENCV |
| | | #include "opencv2/highgui/highgui_c.h" |
| | | #include "opencv2/core/core_c.h" |
| | | #include "opencv2/core/version.hpp" |
| | | |
| | | #ifndef CV_VERSION_EPOCH |
| | | #include "opencv2/videoio/videoio_c.h" |
| | | #define OPENCV_VERSION CVAUX_STR(CV_VERSION_MAJOR)""CVAUX_STR(CV_VERSION_MINOR)""CVAUX_STR(CV_VERSION_REVISION) |
| | | #pragma comment(lib, "opencv_world" OPENCV_VERSION ".lib") |
| | | #else |
| | | #define OPENCV_VERSION CVAUX_STR(CV_VERSION_EPOCH)""CVAUX_STR(CV_VERSION_MAJOR)""CVAUX_STR(CV_VERSION_MINOR) |
| | | #pragma comment(lib, "opencv_core" OPENCV_VERSION ".lib") |
| | | #pragma comment(lib, "opencv_imgproc" OPENCV_VERSION ".lib") |
| | | #pragma comment(lib, "opencv_highgui" OPENCV_VERSION ".lib") |
| | | #endif |
| | | |
| | | #endif |
| | | |
| | | static int coco_ids[] = {1,2,3,4,5,6,7,8,9,10,11,13,14,15,16,17,18,19,20,21,22,23,24,25,27,28,31,32,33,34,35,36,37,38,39,40,41,42,43,44,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,67,70,72,73,74,75,76,77,78,79,80,81,82,84,85,86,87,88,89,90}; |
| | | |
| | | void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, int ngpus, int clear) |
| | |
| | | //int N = plist->size; |
| | | char **paths = (char **)list_to_array(plist); |
| | | |
| | | int init_w = net.w; |
| | | int init_h = net.h; |
| | | |
| | | load_args args = {0}; |
| | | args.w = net.w; |
| | | args.h = net.h; |
| | |
| | | args.num_boxes = l.max_boxes; |
| | | args.d = &buffer; |
| | | args.type = DETECTION_DATA; |
| | | args.threads = 8; |
| | | args.threads = 4;// 8; |
| | | |
| | | args.angle = net.angle; |
| | | args.exposure = net.exposure; |
| | |
| | | while(get_current_batch(net) < net.max_batches){ |
| | | if(l.random && count++%10 == 0){ |
| | | printf("Resizing\n"); |
| | | int dim = (rand() % 10 + 10) * 32; |
| | | if (get_current_batch(net)+100 > net.max_batches) dim = 544; |
| | | int dim = (rand() % 12 + (init_w/32 - 5)) * 32; // +-160 |
| | | //int dim = (rand() % 10 + 10) * 32; |
| | | //if (get_current_batch(net)+100 > net.max_batches) dim = 544; |
| | | //int dim = (rand() % 4 + 16) * 32; |
| | | printf("%d\n", dim); |
| | | args.w = dim; |
| | |
| | | |
| | | i = get_current_batch(net); |
| | | printf("%d: %f, %f avg, %f rate, %lf seconds, %d images\n", get_current_batch(net), loss, avg_loss, get_current_rate(net), sec(clock()-time), i*imgs); |
| | | if (i % 1000 == 0 || (i < 1000 && i % 100 == 0)) { |
| | | //if (i % 1000 == 0 || (i < 1000 && i % 100 == 0)) { |
| | | if (i % 100 == 0) { |
| | | #ifdef GPU |
| | | if (ngpus != 1) sync_nets(nets, ngpus, 0); |
| | | #endif |
| | |
| | | int *map = 0; |
| | | if (mapf) map = read_map(mapf); |
| | | |
| | | network net = parse_network_cfg(cfgfile); |
| | | network net = parse_network_cfg_custom(cfgfile, 1); |
| | | if(weightfile){ |
| | | load_weights(&net, weightfile); |
| | | } |
| | |
| | | |
| | | void validate_detector_recall(char *datacfg, char *cfgfile, char *weightfile) |
| | | { |
| | | network net = parse_network_cfg(cfgfile); |
| | | network net = parse_network_cfg_custom(cfgfile, 1); |
| | | if(weightfile){ |
| | | load_weights(&net, weightfile); |
| | | } |
| | |
| | | int m = plist->size; |
| | | int i=0; |
| | | |
| | | float thresh = .2;// .001; |
| | | float thresh = .001;// .001; // .2; |
| | | float iou_thresh = .5; |
| | | float nms = .4; |
| | | |
| | |
| | | char **names = get_labels(name_list); |
| | | |
| | | image **alphabet = load_alphabet(); |
| | | network net = parse_network_cfg(cfgfile); |
| | | network net = parse_network_cfg_custom(cfgfile, 1); |
| | | if(weightfile){ |
| | | load_weights(&net, weightfile); |
| | | } |
| | |
| | | while(1){ |
| | | if(filename){ |
| | | strncpy(input, filename, 256); |
| | | if (input[strlen(input) - 1] == 0x0d) input[strlen(input) - 1] = 0; |
| | | } else { |
| | | printf("Enter Image Path: "); |
| | | fflush(stdout); |
| | |
| | | |
| | | void run_detector(int argc, char **argv) |
| | | { |
| | | char *out_filename = find_char_arg(argc, argv, "-out_filename", 0); |
| | | char *prefix = find_char_arg(argc, argv, "-prefix", 0); |
| | | float thresh = find_float_arg(argc, argv, "-thresh", .24); |
| | | int cam_index = find_int_arg(argc, argv, "-c", 0); |
| | |
| | | char *datacfg = argv[3]; |
| | | char *cfg = argv[4]; |
| | | char *weights = (argc > 5) ? argv[5] : 0; |
| | | if(weights) |
| | | if (weights[strlen(weights) - 1] == 0x0d) weights[strlen(weights) - 1] = 0; |
| | | char *filename = (argc > 6) ? argv[6]: 0; |
| | | if(0==strcmp(argv[2], "test")) test_detector(datacfg, cfg, weights, filename, thresh); |
| | | else if(0==strcmp(argv[2], "train")) train_detector(datacfg, cfg, weights, gpus, ngpus, clear); |
| | |
| | | int classes = option_find_int(options, "classes", 20); |
| | | char *name_list = option_find_str(options, "names", "data/names.list"); |
| | | char **names = get_labels(name_list); |
| | | demo(cfg, weights, thresh, cam_index, filename, names, classes, frame_skip, prefix); |
| | | if(filename) |
| | | if (filename[strlen(filename) - 1] == 0x0d) filename[strlen(filename) - 1] = 0; |
| | | demo(cfg, weights, thresh, cam_index, filename, names, classes, frame_skip, prefix, out_filename); |
| | | } |
| | | } |