| | |
| | | #include "parser.h" |
| | | #include "utils.h" |
| | | #include "cuda.h" |
| | | #include "blas.h" |
| | | |
| | | #ifdef OPENCV |
| | | #include "opencv2/highgui/highgui_c.h" |
| | | #endif |
| | | |
| | | extern void run_imagenet(int argc, char **argv); |
| | | extern void run_detection(int argc, char **argv); |
| | | extern void run_yolo(int argc, char **argv); |
| | | extern void run_coco(int argc, char **argv); |
| | | extern void run_writing(int argc, char **argv); |
| | | extern void run_captcha(int argc, char **argv); |
| | |
| | | fclose(fp); |
| | | } |
| | | |
| | | void average(int argc, char *argv[]) |
| | | { |
| | | char *cfgfile = argv[2]; |
| | | char *outfile = argv[3]; |
| | | gpu_index = -1; |
| | | network net = parse_network_cfg(cfgfile); |
| | | network sum = parse_network_cfg(cfgfile); |
| | | |
| | | char *weightfile = argv[4]; |
| | | load_weights(&sum, weightfile); |
| | | |
| | | int i, j; |
| | | int n = argc - 5; |
| | | for(i = 0; i < n; ++i){ |
| | | weightfile = argv[i+5]; |
| | | load_weights(&net, weightfile); |
| | | for(j = 0; j < net.n; ++j){ |
| | | layer l = net.layers[j]; |
| | | layer out = sum.layers[j]; |
| | | if(l.type == CONVOLUTIONAL){ |
| | | int num = l.n*l.c*l.size*l.size; |
| | | axpy_cpu(l.n, 1, l.biases, 1, out.biases, 1); |
| | | axpy_cpu(num, 1, l.filters, 1, out.filters, 1); |
| | | } |
| | | if(l.type == CONNECTED){ |
| | | axpy_cpu(l.outputs, 1, l.biases, 1, out.biases, 1); |
| | | axpy_cpu(l.outputs*l.inputs, 1, l.weights, 1, out.weights, 1); |
| | | } |
| | | } |
| | | } |
| | | n = n+1; |
| | | for(j = 0; j < net.n; ++j){ |
| | | layer l = sum.layers[j]; |
| | | if(l.type == CONVOLUTIONAL){ |
| | | int num = l.n*l.c*l.size*l.size; |
| | | scal_cpu(l.n, 1./n, l.biases, 1); |
| | | scal_cpu(num, 1./n, l.filters, 1); |
| | | } |
| | | if(l.type == CONNECTED){ |
| | | scal_cpu(l.outputs, 1./n, l.biases, 1); |
| | | scal_cpu(l.outputs*l.inputs, 1./n, l.weights, 1); |
| | | } |
| | | } |
| | | save_weights(sum, outfile); |
| | | } |
| | | |
| | | void partial(char *cfgfile, char *weightfile, char *outfile, int max) |
| | | { |
| | | gpu_index = -1; |
| | | network net = parse_network_cfg(cfgfile); |
| | | if(weightfile){ |
| | | load_weights_upto(&net, weightfile, max); |
| | |
| | | load_weights(&net, weightfile); |
| | | } |
| | | visualize_network(net); |
| | | #ifdef OPENCV |
| | | #ifdef OPENCV |
| | | cvWaitKey(0); |
| | | #endif |
| | | #endif |
| | | } |
| | | |
| | | int main(int argc, char **argv) |
| | |
| | | |
| | | if(0==strcmp(argv[1], "imagenet")){ |
| | | run_imagenet(argc, argv); |
| | | } else if (0 == strcmp(argv[1], "detection")){ |
| | | run_detection(argc, argv); |
| | | } else if (0 == strcmp(argv[1], "average")){ |
| | | average(argc, argv); |
| | | } else if (0 == strcmp(argv[1], "yolo")){ |
| | | run_yolo(argc, argv); |
| | | } else if (0 == strcmp(argv[1], "coco")){ |
| | | run_coco(argc, argv); |
| | | } else if (0 == strcmp(argv[1], "dice")){ |