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https://github.com/pjreddie/darknet.git
synced 2023-08-10 21:13:14 +03:00
Starting on server/client
This commit is contained in:
parent
b77a8f3987
commit
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2
Makefile
2
Makefile
@ -33,7 +33,7 @@ VPATH=./src/
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EXEC=cnn
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OBJDIR=./obj/
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OBJ=network.o network_gpu.o image.o cnn.o connected_layer.o maxpool_layer.o activations.o list.o option_list.o parser.o utils.o data.o matrix.o softmax_layer.o mini_blas.o convolutional_layer.o gemm.o normalization_layer.o opencl.o im2col.o col2im.o axpy.o dropout_layer.o crop_layer.o freeweight_layer.o cost_layer.o
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OBJ=network.o network_gpu.o image.o cnn.o connected_layer.o maxpool_layer.o activations.o list.o option_list.o parser.o utils.o data.o matrix.o softmax_layer.o mini_blas.o convolutional_layer.o gemm.o normalization_layer.o opencl.o im2col.o col2im.o axpy.o dropout_layer.o crop_layer.o freeweight_layer.o cost_layer.o server.o
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OBJS = $(addprefix $(OBJDIR), $(OBJ))
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all: $(EXEC)
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218
src/cnn.c
218
src/cnn.c
@ -312,7 +312,8 @@ void train_detection_net()
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network net = parse_network_cfg("cfg/detnet.cfg");
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printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
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int imgs = 1000/net.batch+1;
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srand(time(0));
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//srand(time(0));
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srand(23410);
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int i = 0;
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list *plist = get_paths("/home/pjreddie/data/imagenet/horse.txt");
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char **paths = (char **)list_to_array(plist);
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@ -323,6 +324,31 @@ void train_detection_net()
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time=clock();
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data train = load_data_detection_random(imgs*net.batch, paths, plist->size, 256, 256, 8, 8, 256);
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//translate_data_rows(train, -144);
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/*
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image im = float_to_image(256, 256, 3, train.X.vals[0]);
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float *truth = train.y.vals[0];
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int j;
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int r, c;
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for(r = 0; r < 8; ++r){
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for(c = 0; c < 8; ++c){
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j = (r*8 + c) * 5;
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if(truth[j]){
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int d = 256/8;
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int y = r*d+truth[j+1]*d;
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int x = c*d+truth[j+2]*d;
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int h = truth[j+3]*256;
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int w = truth[j+4]*256;
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printf("%f %f %f %f\n", truth[j+1], truth[j+2], truth[j+3], truth[j+4]);
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printf("%d %d %d %d\n", x, y, w, h);
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printf("%d %d %d %d\n", x-w/2, y-h/2, x+w/2, y+h/2);
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draw_box(im, x-w/2, y-h/2, x+w/2, y+h/2);
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}
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}
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}
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show_image(im, "box");
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cvWaitKey(0);
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*/
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normalize_data_rows(train);
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printf("Loaded: %lf seconds\n", sec(clock()-time));
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time=clock();
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@ -334,7 +360,7 @@ void train_detection_net()
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free_data(train);
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if(i%10==0){
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char buff[256];
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sprintf(buff, "/home/pjreddie/imagenet_backup/imagenet_%d.cfg", i);
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sprintf(buff, "/home/pjreddie/imagenet_backup/detnet_%d.cfg", i);
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save_network(net, buff);
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}
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}
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@ -345,7 +371,7 @@ void train_imagenet()
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{
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float avg_loss = 1;
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//network net = parse_network_cfg("/home/pjreddie/imagenet_backup/alexnet_1270.cfg");
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network net = parse_network_cfg("cfg/trained_alexnet.cfg");
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network net = parse_network_cfg("cfg/alexnet.part");
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printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
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int imgs = 1000/net.batch+1;
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srand(time(0));
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@ -371,7 +397,7 @@ void train_imagenet()
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free_data(train);
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if(i%10==0){
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char buff[256];
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sprintf(buff, "/home/pjreddie/imagenet_backup/imagenet_%d.cfg", i);
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sprintf(buff, "/home/pjreddie/imagenet_backup/alexnet_%d.cfg", i);
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save_network(net, buff);
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}
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}
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@ -399,6 +425,7 @@ void validate_imagenet(char *filename)
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char **part = paths+(i*m/splits);
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int num = (i+1)*m/splits - i*m/splits;
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data val = load_data(part, num, labels, 1000, 256, 256);
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normalize_data_rows(val);
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printf("Loaded: %d images in %lf seconds\n", val.X.rows, sec(clock()-time));
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time=clock();
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@ -411,25 +438,48 @@ void validate_imagenet(char *filename)
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}
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}
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void draw_detection(image im, float *box)
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{
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int j;
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int r, c;
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for(r = 0; r < 8; ++r){
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for(c = 0; c < 8; ++c){
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j = (r*8 + c) * 5;
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printf("Prob: %f\n", box[j]);
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if(box[j] > .999){
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int d = 256/8;
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int y = r*d+box[j+1]*d;
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int x = c*d+box[j+2]*d;
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int h = box[j+3]*256;
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int w = box[j+4]*256;
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printf("%f %f %f %f\n", box[j+1], box[j+2], box[j+3], box[j+4]);
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printf("%d %d %d %d\n", x, y, w, h);
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printf("%d %d %d %d\n", x-w/2, y-h/2, x+w/2, y+h/2);
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draw_box(im, x-w/2, y-h/2, x+w/2, y+h/2);
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}
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}
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}
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show_image(im, "box");
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cvWaitKey(0);
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}
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void test_detection()
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{
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network net = parse_network_cfg("cfg/detnet_test.cfg");
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//imgs=1;
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srand(2222222);
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int i = 0;
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clock_t time;
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char filename[256];
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int indexes[10];
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while(1){
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fgets(filename, 256, stdin);
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strtok(filename, "\n");
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image im = load_image_color(filename, 256, 256);
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z_normalize_image(im);
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printf("%d %d %d\n", im.h, im.w, im.c);
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float *X = im.data;
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time=clock();
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float *predictions = network_predict(net, X);
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top_predictions(net, 10, indexes);
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printf("%s: Predicted in %f seconds.\n", filename, sec(clock()-time));
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draw_detection(im, predictions);
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free_image(im);
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}
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}
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@ -446,6 +496,7 @@ void test_imagenet()
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int indexes[10];
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while(1){
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fgets(filename, 256, stdin);
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strtok(filename, "\n");
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image im = load_image_color(filename, 256, 256);
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z_normalize_image(im);
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printf("%d %d %d\n", im.h, im.w, im.c);
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@ -731,6 +782,14 @@ void test_gpu_net()
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#endif
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}
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void test_server()
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{
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server_update();
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}
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void test_client()
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{
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client_update();
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}
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int main(int argc, char *argv[])
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{
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@ -744,6 +803,9 @@ int main(int argc, char *argv[])
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else if(0==strcmp(argv[1], "nist")) train_nist();
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else if(0==strcmp(argv[1], "test_correct")) test_gpu_net();
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else if(0==strcmp(argv[1], "test")) test_imagenet();
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else if(0==strcmp(argv[1], "server")) test_server();
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else if(0==strcmp(argv[1], "client")) test_client();
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else if(0==strcmp(argv[1], "detect")) test_detection();
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else if(0==strcmp(argv[1], "visualize")) test_visualize(argv[2]);
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else if(0==strcmp(argv[1], "valid")) validate_imagenet(argv[2]);
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#ifdef GPU
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@ -754,79 +816,79 @@ int main(int argc, char *argv[])
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}
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/*
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void visualize_imagenet_topk(char *filename)
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{
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int i,j,k,l;
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int topk = 10;
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network net = parse_network_cfg("cfg/voc_imagenet.cfg");
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list *plist = get_paths(filename);
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node *n = plist->front;
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int h = voc_size(1), w = voc_size(1);
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int num = get_network_image(net).c;
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image **vizs = calloc(num, sizeof(image*));
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float **score = calloc(num, sizeof(float *));
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for(i = 0; i < num; ++i){
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vizs[i] = calloc(topk, sizeof(image));
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for(j = 0; j < topk; ++j) vizs[i][j] = make_image(h,w,3);
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score[i] = calloc(topk, sizeof(float));
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}
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void visualize_imagenet_topk(char *filename)
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{
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int i,j,k,l;
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int topk = 10;
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network net = parse_network_cfg("cfg/voc_imagenet.cfg");
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list *plist = get_paths(filename);
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node *n = plist->front;
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int h = voc_size(1), w = voc_size(1);
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int num = get_network_image(net).c;
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image **vizs = calloc(num, sizeof(image*));
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float **score = calloc(num, sizeof(float *));
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for(i = 0; i < num; ++i){
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vizs[i] = calloc(topk, sizeof(image));
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for(j = 0; j < topk; ++j) vizs[i][j] = make_image(h,w,3);
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score[i] = calloc(topk, sizeof(float));
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}
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int count = 0;
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while(n){
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++count;
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char *image_path = (char *)n->val;
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image im = load_image(image_path, 0, 0);
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n = n->next;
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if(im.h < 200 || im.w < 200) continue;
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printf("Processing %dx%d image\n", im.h, im.w);
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resize_network(net, im.h, im.w, im.c);
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//scale_image(im, 1./255);
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translate_image(im, -144);
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forward_network(net, im.data, 0, 0);
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image out = get_network_image(net);
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int count = 0;
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while(n){
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++count;
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char *image_path = (char *)n->val;
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image im = load_image(image_path, 0, 0);
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n = n->next;
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if(im.h < 200 || im.w < 200) continue;
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printf("Processing %dx%d image\n", im.h, im.w);
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resize_network(net, im.h, im.w, im.c);
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//scale_image(im, 1./255);
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translate_image(im, -144);
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forward_network(net, im.data, 0, 0);
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image out = get_network_image(net);
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int dh = (im.h - h)/(out.h-1);
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int dw = (im.w - w)/(out.w-1);
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//printf("%d %d\n", dh, dw);
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for(k = 0; k < out.c; ++k){
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float topv = 0;
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int topi = -1;
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int topj = -1;
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for(i = 0; i < out.h; ++i){
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for(j = 0; j < out.w; ++j){
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float val = get_pixel(out, i, j, k);
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if(val > topv){
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topv = val;
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topi = i;
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topj = j;
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}
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}
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}
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if(topv){
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image sub = get_sub_image(im, dh*topi, dw*topj, h, w);
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for(l = 0; l < topk; ++l){
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if(topv > score[k][l]){
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float swap = score[k][l];
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score[k][l] = topv;
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topv = swap;
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int dh = (im.h - h)/(out.h-1);
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int dw = (im.w - w)/(out.w-1);
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//printf("%d %d\n", dh, dw);
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for(k = 0; k < out.c; ++k){
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float topv = 0;
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int topi = -1;
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int topj = -1;
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for(i = 0; i < out.h; ++i){
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for(j = 0; j < out.w; ++j){
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float val = get_pixel(out, i, j, k);
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if(val > topv){
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topv = val;
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topi = i;
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topj = j;
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}
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}
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}
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if(topv){
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image sub = get_sub_image(im, dh*topi, dw*topj, h, w);
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for(l = 0; l < topk; ++l){
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if(topv > score[k][l]){
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float swap = score[k][l];
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score[k][l] = topv;
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topv = swap;
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image swapi = vizs[k][l];
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vizs[k][l] = sub;
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sub = swapi;
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}
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}
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free_image(sub);
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}
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}
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free_image(im);
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if(count%50 == 0){
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image grid = grid_images(vizs, num, topk);
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//show_image(grid, "IMAGENET Visualization");
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save_image(grid, "IMAGENET Grid Single Nonorm");
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free_image(grid);
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}
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}
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//cvWaitKey(0);
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image swapi = vizs[k][l];
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vizs[k][l] = sub;
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sub = swapi;
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}
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}
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free_image(sub);
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}
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}
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free_image(im);
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if(count%50 == 0){
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image grid = grid_images(vizs, num, topk);
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//show_image(grid, "IMAGENET Visualization");
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save_image(grid, "IMAGENET Grid Single Nonorm");
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free_image(grid);
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}
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}
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//cvWaitKey(0);
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}
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void visualize_imagenet_features(char *filename)
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@ -65,7 +65,7 @@ convolutional_layer *make_convolutional_layer(int batch, int h, int w, int c, in
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layer->bias_updates = calloc(n, sizeof(float));
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layer->bias_momentum = calloc(n, sizeof(float));
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float scale = 1./(size*size*c);
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scale = .01;
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scale = .05;
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for(i = 0; i < c*n*size*size; ++i) layer->filters[i] = scale*2*(rand_uniform()-.5);
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for(i = 0; i < n; ++i){
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//layer->biases[i] = rand_normal()*scale + scale;
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@ -31,8 +31,8 @@ void fill_truth_detection(char *path, float *truth, int height, int width, int n
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while(fscanf(file, "%d %d %d %d", &x, &y, &w, &h) == 4){
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int i = x/box_width;
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int j = y/box_height;
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float dh = (float)(x%box_width)/box_height;
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float dw = (float)(y%box_width)/box_width;
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float dw = (float)(x%box_width)/box_height;
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float dh = (float)(y%box_width)/box_width;
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float sh = h/scale;
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float sw = w/scale;
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//printf("%d %d %f %f\n", i, j, dh, dw);
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19
src/image.c
19
src/image.c
@ -4,6 +4,23 @@
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int windows = 0;
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void draw_box(image a, int x1, int y1, int x2, int y2)
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{
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int i, c;
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for(c = 0; c < a.c; ++c){
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for(i = x1; i < x2; ++i){
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a.data[i + y1*a.w + c*a.w*a.h] = 0;
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a.data[i + y2*a.w + c*a.w*a.h] = 0;
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}
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}
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for(c = 0; c < a.c; ++c){
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for(i = y1; i < y2; ++i){
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a.data[x1 + i*a.w + c*a.w*a.h] = 0;
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a.data[x2 + i*a.w + c*a.w*a.h] = 0;
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}
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}
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}
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image image_distance(image a, image b)
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{
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int i,j;
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@ -424,7 +441,7 @@ image load_image_color(char *filename, int h, int w)
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}
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if(h && w && (src->height != h || src->width != w)){
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//printf("Resized!\n");
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IplImage *resized = resizeImage(src, h, w, 1);
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IplImage *resized = resizeImage(src, h, w, 0);
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cvReleaseImage(&src);
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src = resized;
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}
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@ -11,6 +11,7 @@ typedef struct {
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float *data;
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} image;
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void draw_box(image a, int x1, int y1, int x2, int y2);
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image image_distance(image a, image b);
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void scale_image(image m, float s);
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void translate_image(image m, float s);
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@ -88,7 +88,7 @@ cl_info cl_init()
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}
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int index = getpid()%num_devices;
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index = 0;
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index = 1;
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printf("%d rand, %d devices, %d index\n", getpid(), num_devices, index);
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info.device = devices[index];
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fprintf(stderr, "Found %d device(s)\n", num_devices);
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|
84
src/server.c
Normal file
84
src/server.c
Normal file
@ -0,0 +1,84 @@
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#include <sys/types.h>
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#include <sys/socket.h>
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#include <netinet/in.h> /* needed for sockaddr_in */
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#include <stdio.h> /* needed for sockaddr_in */
|
||||
#include <string.h> /* needed for sockaddr_in */
|
||||
#include <netdb.h>
|
||||
|
||||
#include "server.h"
|
||||
|
||||
#define MESSAGESIZE 512
|
||||
#define SERVER_PORT 9876
|
||||
#define CLIENT_PORT 9879
|
||||
#define STR(x) #x
|
||||
#define PARAMETER_SERVER localhost
|
||||
|
||||
int socket_setup(int port)
|
||||
{
|
||||
static int fd = 0; /* our socket */
|
||||
if(fd) return fd;
|
||||
struct sockaddr_in myaddr; /* our address */
|
||||
|
||||
/* create a UDP socket */
|
||||
|
||||
if ((fd = socket(AF_INET, SOCK_DGRAM, 0)) < 0) {
|
||||
perror("cannot create socket\n");
|
||||
fd=0;
|
||||
return 0;
|
||||
}
|
||||
|
||||
/* bind the socket to any valid IP address and a specific port */
|
||||
|
||||
memset((char *)&myaddr, 0, sizeof(myaddr));
|
||||
myaddr.sin_family = AF_INET;
|
||||
myaddr.sin_addr.s_addr = htonl(INADDR_ANY);
|
||||
myaddr.sin_port = htons(port);
|
||||
|
||||
if (bind(fd, (struct sockaddr *)&myaddr, sizeof(myaddr)) < 0) {
|
||||
perror("bind failed");
|
||||
fd=0;
|
||||
return 0;
|
||||
}
|
||||
return fd;
|
||||
}
|
||||
|
||||
void server_update()
|
||||
{
|
||||
int fd = socket_setup(SERVER_PORT);
|
||||
struct sockaddr_in remaddr; /* remote address */
|
||||
socklen_t addrlen = sizeof(remaddr); /* length of addresses */
|
||||
int recvlen; /* # bytes received */
|
||||
unsigned char buf[MESSAGESIZE]; /* receive buffer */
|
||||
|
||||
recvlen = recvfrom(fd, buf, MESSAGESIZE, 0, (struct sockaddr *)&remaddr, &addrlen);
|
||||
buf[recvlen] = 0;
|
||||
printf("received %d bytes\n", recvlen);
|
||||
printf("%s\n", buf);
|
||||
}
|
||||
|
||||
void client_update()
|
||||
{
|
||||
int fd = socket_setup(CLIENT_PORT);
|
||||
struct hostent *hp; /* host information */
|
||||
struct sockaddr_in servaddr; /* server address */
|
||||
char *my_message = "this is a test message";
|
||||
|
||||
/* fill in the server's address and data */
|
||||
memset((char*)&servaddr, 0, sizeof(servaddr));
|
||||
servaddr.sin_family = AF_INET;
|
||||
servaddr.sin_port = htons(SERVER_PORT);
|
||||
|
||||
/* look up the address of the server given its name */
|
||||
hp = gethostbyname("localhost");
|
||||
if (!hp) {
|
||||
fprintf(stderr, "could not obtain address of %s\n", "localhost");
|
||||
}
|
||||
|
||||
/* put the host's address into the server address structure */
|
||||
memcpy((void *)&servaddr.sin_addr, hp->h_addr_list[0], hp->h_length);
|
||||
|
||||
/* send a message to the server */
|
||||
if (sendto(fd, my_message, strlen(my_message), 0, (struct sockaddr *)&servaddr, sizeof(servaddr)) < 0) {
|
||||
perror("sendto failed");
|
||||
}
|
||||
}
|
3
src/server.h
Normal file
3
src/server.h
Normal file
@ -0,0 +1,3 @@
|
||||
|
||||
void server_update();
|
||||
void client_update();
|
Loading…
x
Reference in New Issue
Block a user