Starting on server/client
7 files modified
2 files added
| | |
| | | EXEC=cnn |
| | | OBJDIR=./obj/ |
| | | |
| | | 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 |
| | | 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 |
| | | OBJS = $(addprefix $(OBJDIR), $(OBJ)) |
| | | |
| | | all: $(EXEC) |
| | |
| | | network net = parse_network_cfg("cfg/detnet.cfg"); |
| | | printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay); |
| | | int imgs = 1000/net.batch+1; |
| | | srand(time(0)); |
| | | //srand(time(0)); |
| | | srand(23410); |
| | | int i = 0; |
| | | list *plist = get_paths("/home/pjreddie/data/imagenet/horse.txt"); |
| | | char **paths = (char **)list_to_array(plist); |
| | |
| | | time=clock(); |
| | | data train = load_data_detection_random(imgs*net.batch, paths, plist->size, 256, 256, 8, 8, 256); |
| | | //translate_data_rows(train, -144); |
| | | /* |
| | | image im = float_to_image(256, 256, 3, train.X.vals[0]); |
| | | float *truth = train.y.vals[0]; |
| | | int j; |
| | | int r, c; |
| | | for(r = 0; r < 8; ++r){ |
| | | for(c = 0; c < 8; ++c){ |
| | | j = (r*8 + c) * 5; |
| | | if(truth[j]){ |
| | | int d = 256/8; |
| | | int y = r*d+truth[j+1]*d; |
| | | int x = c*d+truth[j+2]*d; |
| | | int h = truth[j+3]*256; |
| | | int w = truth[j+4]*256; |
| | | printf("%f %f %f %f\n", truth[j+1], truth[j+2], truth[j+3], truth[j+4]); |
| | | printf("%d %d %d %d\n", x, y, w, h); |
| | | printf("%d %d %d %d\n", x-w/2, y-h/2, x+w/2, y+h/2); |
| | | draw_box(im, x-w/2, y-h/2, x+w/2, y+h/2); |
| | | } |
| | | } |
| | | } |
| | | show_image(im, "box"); |
| | | cvWaitKey(0); |
| | | */ |
| | | |
| | | normalize_data_rows(train); |
| | | printf("Loaded: %lf seconds\n", sec(clock()-time)); |
| | | time=clock(); |
| | |
| | | free_data(train); |
| | | if(i%10==0){ |
| | | char buff[256]; |
| | | sprintf(buff, "/home/pjreddie/imagenet_backup/imagenet_%d.cfg", i); |
| | | sprintf(buff, "/home/pjreddie/imagenet_backup/detnet_%d.cfg", i); |
| | | save_network(net, buff); |
| | | } |
| | | } |
| | |
| | | { |
| | | float avg_loss = 1; |
| | | //network net = parse_network_cfg("/home/pjreddie/imagenet_backup/alexnet_1270.cfg"); |
| | | network net = parse_network_cfg("cfg/trained_alexnet.cfg"); |
| | | network net = parse_network_cfg("cfg/alexnet.part"); |
| | | printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay); |
| | | int imgs = 1000/net.batch+1; |
| | | srand(time(0)); |
| | |
| | | free_data(train); |
| | | if(i%10==0){ |
| | | char buff[256]; |
| | | sprintf(buff, "/home/pjreddie/imagenet_backup/imagenet_%d.cfg", i); |
| | | sprintf(buff, "/home/pjreddie/imagenet_backup/alexnet_%d.cfg", i); |
| | | save_network(net, buff); |
| | | } |
| | | } |
| | |
| | | char **part = paths+(i*m/splits); |
| | | int num = (i+1)*m/splits - i*m/splits; |
| | | data val = load_data(part, num, labels, 1000, 256, 256); |
| | | |
| | | normalize_data_rows(val); |
| | | printf("Loaded: %d images in %lf seconds\n", val.X.rows, sec(clock()-time)); |
| | | time=clock(); |
| | |
| | | } |
| | | } |
| | | |
| | | void draw_detection(image im, float *box) |
| | | { |
| | | int j; |
| | | int r, c; |
| | | for(r = 0; r < 8; ++r){ |
| | | for(c = 0; c < 8; ++c){ |
| | | j = (r*8 + c) * 5; |
| | | printf("Prob: %f\n", box[j]); |
| | | if(box[j] > .999){ |
| | | int d = 256/8; |
| | | int y = r*d+box[j+1]*d; |
| | | int x = c*d+box[j+2]*d; |
| | | int h = box[j+3]*256; |
| | | int w = box[j+4]*256; |
| | | printf("%f %f %f %f\n", box[j+1], box[j+2], box[j+3], box[j+4]); |
| | | printf("%d %d %d %d\n", x, y, w, h); |
| | | printf("%d %d %d %d\n", x-w/2, y-h/2, x+w/2, y+h/2); |
| | | draw_box(im, x-w/2, y-h/2, x+w/2, y+h/2); |
| | | } |
| | | } |
| | | } |
| | | show_image(im, "box"); |
| | | cvWaitKey(0); |
| | | } |
| | | |
| | | void test_detection() |
| | | { |
| | | network net = parse_network_cfg("cfg/detnet_test.cfg"); |
| | | //imgs=1; |
| | | srand(2222222); |
| | | int i = 0; |
| | | clock_t time; |
| | | char filename[256]; |
| | | int indexes[10]; |
| | | while(1){ |
| | | fgets(filename, 256, stdin); |
| | | strtok(filename, "\n"); |
| | | image im = load_image_color(filename, 256, 256); |
| | | z_normalize_image(im); |
| | | printf("%d %d %d\n", im.h, im.w, im.c); |
| | | float *X = im.data; |
| | | time=clock(); |
| | | float *predictions = network_predict(net, X); |
| | | top_predictions(net, 10, indexes); |
| | | printf("%s: Predicted in %f seconds.\n", filename, sec(clock()-time)); |
| | | draw_detection(im, predictions); |
| | | free_image(im); |
| | | } |
| | | } |
| | |
| | | int indexes[10]; |
| | | while(1){ |
| | | fgets(filename, 256, stdin); |
| | | strtok(filename, "\n"); |
| | | image im = load_image_color(filename, 256, 256); |
| | | z_normalize_image(im); |
| | | printf("%d %d %d\n", im.h, im.w, im.c); |
| | |
| | | #endif |
| | | } |
| | | |
| | | void test_server() |
| | | { |
| | | server_update(); |
| | | } |
| | | void test_client() |
| | | { |
| | | client_update(); |
| | | } |
| | | |
| | | int main(int argc, char *argv[]) |
| | | { |
| | |
| | | else if(0==strcmp(argv[1], "nist")) train_nist(); |
| | | else if(0==strcmp(argv[1], "test_correct")) test_gpu_net(); |
| | | else if(0==strcmp(argv[1], "test")) test_imagenet(); |
| | | else if(0==strcmp(argv[1], "server")) test_server(); |
| | | else if(0==strcmp(argv[1], "client")) test_client(); |
| | | else if(0==strcmp(argv[1], "detect")) test_detection(); |
| | | else if(0==strcmp(argv[1], "visualize")) test_visualize(argv[2]); |
| | | else if(0==strcmp(argv[1], "valid")) validate_imagenet(argv[2]); |
| | | #ifdef GPU |
| | |
| | | layer->bias_updates = calloc(n, sizeof(float)); |
| | | layer->bias_momentum = calloc(n, sizeof(float)); |
| | | float scale = 1./(size*size*c); |
| | | scale = .01; |
| | | scale = .05; |
| | | for(i = 0; i < c*n*size*size; ++i) layer->filters[i] = scale*2*(rand_uniform()-.5); |
| | | for(i = 0; i < n; ++i){ |
| | | //layer->biases[i] = rand_normal()*scale + scale; |
| | |
| | | while(fscanf(file, "%d %d %d %d", &x, &y, &w, &h) == 4){ |
| | | int i = x/box_width; |
| | | int j = y/box_height; |
| | | float dh = (float)(x%box_width)/box_height; |
| | | float dw = (float)(y%box_width)/box_width; |
| | | float dw = (float)(x%box_width)/box_height; |
| | | float dh = (float)(y%box_width)/box_width; |
| | | float sh = h/scale; |
| | | float sw = w/scale; |
| | | //printf("%d %d %f %f\n", i, j, dh, dw); |
| | |
| | | |
| | | int windows = 0; |
| | | |
| | | void draw_box(image a, int x1, int y1, int x2, int y2) |
| | | { |
| | | int i, c; |
| | | for(c = 0; c < a.c; ++c){ |
| | | for(i = x1; i < x2; ++i){ |
| | | a.data[i + y1*a.w + c*a.w*a.h] = 0; |
| | | a.data[i + y2*a.w + c*a.w*a.h] = 0; |
| | | } |
| | | } |
| | | for(c = 0; c < a.c; ++c){ |
| | | for(i = y1; i < y2; ++i){ |
| | | a.data[x1 + i*a.w + c*a.w*a.h] = 0; |
| | | a.data[x2 + i*a.w + c*a.w*a.h] = 0; |
| | | } |
| | | } |
| | | } |
| | | |
| | | image image_distance(image a, image b) |
| | | { |
| | | int i,j; |
| | |
| | | } |
| | | if(h && w && (src->height != h || src->width != w)){ |
| | | //printf("Resized!\n"); |
| | | IplImage *resized = resizeImage(src, h, w, 1); |
| | | IplImage *resized = resizeImage(src, h, w, 0); |
| | | cvReleaseImage(&src); |
| | | src = resized; |
| | | } |
| | |
| | | float *data; |
| | | } image; |
| | | |
| | | void draw_box(image a, int x1, int y1, int x2, int y2); |
| | | image image_distance(image a, image b); |
| | | void scale_image(image m, float s); |
| | | void translate_image(image m, float s); |
| | |
| | | |
| | | } |
| | | int index = getpid()%num_devices; |
| | | index = 0; |
| | | index = 1; |
| | | printf("%d rand, %d devices, %d index\n", getpid(), num_devices, index); |
| | | info.device = devices[index]; |
| | | fprintf(stderr, "Found %d device(s)\n", num_devices); |
| New file |
| | |
| | | #include <sys/types.h> |
| | | #include <sys/socket.h> |
| | | #include <netinet/in.h> /* needed for sockaddr_in */ |
| | | #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"); |
| | | } |
| | | } |
| New file |
| | |
| | | |
| | | void server_update(); |
| | | void client_update(); |