| | |
| | | extern void run_captcha(int argc, char **argv); |
| | | extern void run_nightmare(int argc, char **argv); |
| | | extern void run_dice(int argc, char **argv); |
| | | extern void run_compare(int argc, char **argv); |
| | | |
| | | void change_rate(char *filename, float scale, float add) |
| | | { |
| | |
| | | if(weightfile){ |
| | | load_weights_upto(&net, weightfile, max); |
| | | } |
| | | net.seen = 0; |
| | | *net.seen = 0; |
| | | save_weights_upto(net, outfile, max); |
| | | } |
| | | |
| | | void stacked(char *cfgfile, char *weightfile, char *outfile) |
| | | { |
| | | gpu_index = -1; |
| | | network net = parse_network_cfg(cfgfile); |
| | | if(weightfile){ |
| | | load_weights(&net, weightfile); |
| | | } |
| | | net.seen = 0; |
| | | save_weights_double(net, outfile); |
| | | } |
| | | |
| | | #include "convolutional_layer.h" |
| | | void rescale_net(char *cfgfile, char *weightfile, char *outfile) |
| | | { |
| | |
| | | gpu_index = -1; |
| | | #else |
| | | if(gpu_index >= 0){ |
| | | cudaSetDevice(gpu_index); |
| | | cudaError_t status = cudaSetDevice(gpu_index); |
| | | check_error(status); |
| | | } |
| | | #endif |
| | | |
| | |
| | | run_yolo(argc, argv); |
| | | } else if (0 == strcmp(argv[1], "coco")){ |
| | | run_coco(argc, argv); |
| | | } else if (0 == strcmp(argv[1], "compare")){ |
| | | run_compare(argc, argv); |
| | | } else if (0 == strcmp(argv[1], "dice")){ |
| | | run_dice(argc, argv); |
| | | } else if (0 == strcmp(argv[1], "writing")){ |
| | |
| | | rescale_net(argv[2], argv[3], argv[4]); |
| | | } else if (0 == strcmp(argv[1], "partial")){ |
| | | partial(argv[2], argv[3], argv[4], atoi(argv[5])); |
| | | } else if (0 == strcmp(argv[1], "stacked")){ |
| | | stacked(argv[2], argv[3], argv[4]); |
| | | } else if (0 == strcmp(argv[1], "visualize")){ |
| | | visualize(argv[2], (argc > 3) ? argv[3] : 0); |
| | | } else if (0 == strcmp(argv[1], "imtest")){ |