C++ option_find_str函数代码示例

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本文整理汇总了C++中option_find_str函数的典型用法代码示例。如果您正苦于以下问题：C++ option_find_str函数的具体用法？C++ option_find_str怎么用？C++ option_find_str使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。

在下文中一共展示了option_find_str函数的20个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的C++代码示例。

示例1: parse_deconvolutional

deconvolutional_layer parse_deconvolutional(list *options, size_params params)
{
    int n = option_find_int(options, "filters",1);
    int size = option_find_int(options, "size",1);
    int stride = option_find_int(options, "stride",1);
    char *activation_s = option_find_str(options, "activation", "logistic");
    ACTIVATION activation = get_activation(activation_s);

    int batch,h,w,c;
    h = params.h;
    w = params.w;
    c = params.c;
    batch=params.batch;
    if(!(h && w && c)) error("Layer before deconvolutional layer must output image.");

    deconvolutional_layer layer = make_deconvolutional_layer(batch,h,w,c,n,size,stride,activation);

    char *weights = option_find_str(options, "weights", 0);
    char *biases = option_find_str(options, "biases", 0);
    parse_data(weights, layer.filters, c*n*size*size);
    parse_data(biases, layer.biases, n);
    #ifdef GPU
    if(weights || biases) push_deconvolutional_layer(layer);
    #endif
    return layer;
}

开发者ID:yangmeitang，项目名称:darknet，代码行数:26，代码来源:parser.c

示例2: parse_convolutional

convolutional_layer parse_convolutional(list *options, size_params params)
{
    int n = option_find_int(options, "filters",1);
    int size = option_find_int(options, "size",1);
    int stride = option_find_int(options, "stride",1);
    int pad = option_find_int(options, "pad",0);
    char *activation_s = option_find_str(options, "activation", "logistic");
    ACTIVATION activation = get_activation(activation_s);

    int batch,h,w,c;
    h = params.h;
    w = params.w;
    c = params.c;
    batch=params.batch;
    if(!(h && w && c)) error("Layer before convolutional layer must output image.");
    int batch_normalize = option_find_int_quiet(options, "batch_normalize", 0);
    int binary = option_find_int_quiet(options, "binary", 0);
    int xnor = option_find_int_quiet(options, "xnor", 0);

    convolutional_layer layer = make_convolutional_layer(batch,h,w,c,n,size,stride,pad,activation, batch_normalize, binary, xnor);
    layer.flipped = option_find_int_quiet(options, "flipped", 0);
    layer.dot = option_find_float_quiet(options, "dot", 0);

    char *weights = option_find_str(options, "weights", 0);
    char *biases = option_find_str(options, "biases", 0);
    parse_data(weights, layer.filters, c*n*size*size);
    parse_data(biases, layer.biases, n);
    #ifdef GPU
    if(weights || biases) push_convolutional_layer(layer);
    #endif
    return layer;
}

开发者ID:EricDoug，项目名称:darknet，代码行数:32，代码来源:parser.c

示例3: label_classifier

void label_classifier(char *datacfg, char *filename, char *weightfile)
{
    int i;
    network *net = load_network(filename, weightfile, 0);
    set_batch_network(net, 1);
    srand(time(0));

    list *options = read_data_cfg(datacfg);

    char *label_list = option_find_str(options, "names", "data/labels.list");
    char *test_list = option_find_str(options, "test", "data/train.list");
    int classes = option_find_int(options, "classes", 2);

    char **labels = get_labels(label_list);
    list *plist = get_paths(test_list);

    char **paths = (char **)list_to_array(plist);
    int m = plist->size;
    free_list(plist);

    for(i = 0; i < m; ++i){
        image im = load_image_color(paths[i], 0, 0);
        image resized = resize_min(im, net->w);
        image crop = crop_image(resized, (resized.w - net->w)/2, (resized.h - net->h)/2, net->w, net->h);
        float *pred = network_predict(net, crop.data);

        if(resized.data != im.data) free_image(resized);
        free_image(im);
        free_image(crop);
        int ind = max_index(pred, classes);

        printf("%s\n", labels[ind]);
    }
}

开发者ID:ShahImranShovon，项目名称:darknet，代码行数:34，代码来源:classifier.c

示例4: validate_classifier_full

void validate_classifier_full(char *datacfg, char *filename, char *weightfile)
{
    int i, j;
    network net = parse_network_cfg(filename);
    set_batch_network(&net, 1);
    if(weightfile){
        load_weights(&net, weightfile);
    }
    srand(time(0));

    list *options = read_data_cfg(datacfg);

    char *label_list = option_find_str(options, "labels", "data/labels.list");
    char *valid_list = option_find_str(options, "valid", "data/train.list");
    int classes = option_find_int(options, "classes", 2);
    int topk = option_find_int(options, "top", 1);

    char **labels = get_labels(label_list);
    list *plist = get_paths(valid_list);

    char **paths = (char **)list_to_array(plist);
    int m = plist->size;
    free_list(plist);

    float avg_acc = 0;
    float avg_topk = 0;
    int *indexes = calloc(topk, sizeof(int));

    int size = net.w;
    for(i = 0; i < m; ++i){
        int class = -1;
        char *path = paths[i];
        for(j = 0; j < classes; ++j){
            if(strstr(path, labels[j])){
                class = j;
                break;
            }
        }
        image im = load_image_color(paths[i], 0, 0);
        image resized = resize_min(im, size);
        resize_network(&net, resized.w, resized.h);
        //show_image(im, "orig");
        //show_image(crop, "cropped");
        //cvWaitKey(0);
        float *pred = network_predict(net, resized.data);
        if(net.hierarchy) hierarchy_predictions(pred, net.outputs, net.hierarchy, 1, 1);

        free_image(im);
        free_image(resized);
        top_k(pred, classes, topk, indexes);

        if(indexes[0] == class) avg_acc += 1;
        for(j = 0; j < topk; ++j){
            if(indexes[j] == class) avg_topk += 1;
        }

        printf("%d: top 1: %f, top %d: %f\n", i, avg_acc/(i+1), topk, avg_topk/(i+1));
    }
}

开发者ID:ysolovyov，项目名称:darknet，代码行数:59，代码来源:classifier.c

示例5: predict_classifier

void predict_classifier(char *datacfg, char *cfgfile, char *weightfile, char *filename, int top)
{
    network net = parse_network_cfg(cfgfile);
    if(weightfile){
        load_weights(&net, weightfile);
    }
    set_batch_network(&net, 1);
    srand(2222222);

    list *options = read_data_cfg(datacfg);

    char *name_list = option_find_str(options, "names", 0);
    if(!name_list) name_list = option_find_str(options, "labels", "data/labels.list");
    if(top == 0) top = option_find_int(options, "top", 1);

    int i = 0;
    char **names = get_labels(name_list);
    clock_t time;
    int *indexes = calloc(top, sizeof(int));
    char buff[256];
    char *input = buff;
    while(1){
        if(filename){
            strncpy(input, filename, 256);
        }else{
            printf("Enter Image Path: ");
            fflush(stdout);
            input = fgets(input, 256, stdin);
            if(!input) return;
            strtok(input, "\n");
        }
        image im = load_image_color(input, 0, 0);
        image r = letterbox_image(im, net.w, net.h);
        //resize_network(&net, r.w, r.h);
        //printf("%d %d\n", r.w, r.h);

        float *X = r.data;
        time=clock();
        float *predictions = network_predict(net, X);
        if(net.hierarchy) hierarchy_predictions(predictions, net.outputs, net.hierarchy, 1, 1);
        top_k(predictions, net.outputs, top, indexes);
        fprintf(stderr, "%s: Predicted in %f seconds.\n", input, sec(clock()-time));
        for(i = 0; i < top; ++i){
            int index = indexes[i];
            //if(net.hierarchy) printf("%d, %s: %f, parent: %s \n",index, names[index], predictions[index], (net.hierarchy->parent[index] >= 0) ? names[net.hierarchy->parent[index]] : "Root");
            //else printf("%s: %f\n",names[index], predictions[index]);
            printf("%5.2f%%: %s\n", predictions[index]*100, names[index]);
        }
        if(r.data != im.data) free_image(r);
        free_image(im);
        if (filename) break;
    }
}

开发者ID:ysolovyov，项目名称:darknet，代码行数:53，代码来源:classifier.c

示例6: predict_classifier

void predict_classifier(char *datacfg, char *cfgfile, char *weightfile, char *filename)
{
    network net = parse_network_cfg(cfgfile);
    if(weightfile){
        load_weights(&net, weightfile);
    }
    set_batch_network(&net, 1);
    srand(2222222);

    list *options = read_data_cfg(datacfg);

    char *name_list = option_find_str(options, "names", 0);
    if(!name_list) name_list = option_find_str(options, "labels", "data/labels.list");
    int top = option_find_int(options, "top", 1);

    int i = 0;
    char **names = get_labels(name_list);
    clock_t time;
    int *indexes = calloc(top, sizeof(int));
    char buff[256];
    char *input = buff;
    int size = net.w;
    while(1){
        if(filename){
            strncpy(input, filename, 256);
        }else{
            printf("Enter Image Path: ");
            fflush(stdout);
            input = fgets(input, 256, stdin);
            if(!input) return;
            strtok(input, "\n");
        }
        image im = load_image_color(input, 0, 0);
        image r = resize_min(im, size);
        resize_network(&net, r.w, r.h);
        printf("%d %d\n", r.w, r.h);

        float *X = r.data;
        time=clock();
        float *predictions = network_predict(net, X);
        top_predictions(net, top, indexes);
        printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time));
        for(i = 0; i < top; ++i){
            int index = indexes[i];
            printf("%s: %f\n", names[index], predictions[index]);
        }
        if(r.data != im.data) free_image(r);
        free_image(im);
        if (filename) break;
    }
}

开发者ID:AlessioTonioni，项目名称:darknet，代码行数:51，代码来源:classifier.c

示例7: parse_region

layer parse_region(list *options, size_params params)
{
    int coords = option_find_int(options, "coords", 4);
    int classes = option_find_int(options, "classes", 20);
    int num = option_find_int(options, "num", 1);

    layer l = make_region_layer(params.batch, params.w, params.h, num, classes, coords);
    assert(l.outputs == params.inputs);

    l.log = option_find_int_quiet(options, "log", 0);
    l.sqrt = option_find_int_quiet(options, "sqrt", 0);

    l.softmax = option_find_int(options, "softmax", 0);
    l.background = option_find_int_quiet(options, "background", 0);
    l.max_boxes = option_find_int_quiet(options, "max",30);
    l.jitter = option_find_float(options, "jitter", .2);
    l.rescore = option_find_int_quiet(options, "rescore",0);

    l.thresh = option_find_float(options, "thresh", .5);
    l.classfix = option_find_int_quiet(options, "classfix", 0);
    l.absolute = option_find_int_quiet(options, "absolute", 0);
    l.random = option_find_int_quiet(options, "random", 0);

    l.coord_scale = option_find_float(options, "coord_scale", 1);
    l.object_scale = option_find_float(options, "object_scale", 1);
    l.noobject_scale = option_find_float(options, "noobject_scale", 1);
    l.mask_scale = option_find_float(options, "mask_scale", 1);
    l.class_scale = option_find_float(options, "class_scale", 1);
    l.bias_match = option_find_int_quiet(options, "bias_match",0);

    char *tree_file = option_find_str(options, "tree", 0);
    if (tree_file) l.softmax_tree = read_tree(tree_file);
    char *map_file = option_find_str(options, "map", 0);
    if (map_file) l.map = read_map(map_file);

    char *a = option_find_str(options, "anchors", 0);
    if(a){
        int len = strlen(a);
        int n = 1;
        int i;
        for(i = 0; i < len; ++i){
            if (a[i] == ',') ++n;
        }
        for(i = 0; i < n; ++i){
            float bias = atof(a);
            l.biases[i] = bias;
            a = strchr(a, ',')+1;
        }
    }
    return l;
}

开发者ID:iscaswcm，项目名称:darknet，代码行数:51，代码来源:parser.c

示例8: parse_convolutional

convolutional_layer parse_convolutional(list *options, size_params params)
{
    int n = option_find_int(options, "filters",1);
    int size = option_find_int(options, "size",1);
    int stride = option_find_int(options, "stride",1);
    int pad = option_find_int_quiet(options, "pad",0);
    int padding = option_find_int_quiet(options, "padding",0);
    if(pad) padding = size/2;

    char *activation_s = option_find_str(options, "activation", "logistic");
    ACTIVATION activation = get_activation(activation_s);

    int batch,h,w,c;
    h = params.h;
    w = params.w;
    c = params.c;
    batch=params.batch;
    if(!(h && w && c)) error("Layer before convolutional layer must output image.");
    int batch_normalize = option_find_int_quiet(options, "batch_normalize", 0);
    int binary = option_find_int_quiet(options, "binary", 0);
    int xnor = option_find_int_quiet(options, "xnor", 0);

    convolutional_layer layer = make_convolutional_layer(batch,h,w,c,n,size,stride,padding,activation, batch_normalize, binary, xnor, params.net.adam);
    layer.flipped = option_find_int_quiet(options, "flipped", 0);
    layer.dot = option_find_float_quiet(options, "dot", 0);
    if(params.net.adam){
        layer.B1 = params.net.B1;
        layer.B2 = params.net.B2;
        layer.eps = params.net.eps;
    }

    return layer;
}

开发者ID:Zumbalamambo，项目名称:darknetFaceID，代码行数:33，代码来源:parser.c

示例9: parse_cost

cost_layer parse_cost(list *options, size_params params)
{
    char *type_s = option_find_str(options, "type", "sse");
    COST_TYPE type = get_cost_type(type_s);
    cost_layer layer = make_cost_layer(params.batch, params.inputs, type);
    return layer;
}

开发者ID:yangmeitang，项目名称:darknet，代码行数:7，代码来源:parser.c

示例10: parse_net_options

void parse_net_options(list *options, network *net)
{
    net->batch = option_find_int(options, "batch",1);
    net->learning_rate = option_find_float(options, "learning_rate", .001);
    net->momentum = option_find_float(options, "momentum", .9);
    net->decay = option_find_float(options, "decay", .0001);
    int subdivs = option_find_int(options, "subdivisions",1);
    net->time_steps = option_find_int_quiet(options, "time_steps",1);
    net->batch /= subdivs;
    net->batch *= net->time_steps;
    net->subdivisions = subdivs;

    net->h = option_find_int_quiet(options, "height",0);
    net->w = option_find_int_quiet(options, "width",0);
    net->c = option_find_int_quiet(options, "channels",0);
    net->inputs = option_find_int_quiet(options, "inputs", net->h * net->w * net->c);
    net->max_crop = option_find_int_quiet(options, "max_crop",net->w*2);
    net->min_crop = option_find_int_quiet(options, "min_crop",net->w);

    if(!net->inputs && !(net->h && net->w && net->c)) error("No input parameters supplied");

    char *policy_s = option_find_str(options, "policy", "constant");
    net->policy = get_policy(policy_s);
    if(net->policy == STEP){
        net->step = option_find_int(options, "step", 1);
        net->scale = option_find_float(options, "scale", 1);
    } else if (net->policy == STEPS){
        char *l = option_find(options, "steps");   
        char *p = option_find(options, "scales");   
        if(!l || !p) error("STEPS policy must have steps and scales in cfg file");

        int len = strlen(l);
        int n = 1;
        int i;
        for(i = 0; i < len; ++i){
            if (l[i] == ',') ++n;
        }
        int *steps = calloc(n, sizeof(int));
        float *scales = calloc(n, sizeof(float));
        for(i = 0; i < n; ++i){
            int step    = atoi(l);
            float scale = atof(p);
            l = strchr(l, ',')+1;
            p = strchr(p, ',')+1;
            steps[i] = step;
            scales[i] = scale;
        }
        net->scales = scales;
        net->steps = steps;
        net->num_steps = n;
    } else if (net->policy == EXP){
        net->gamma = option_find_float(options, "gamma", 1);
    } else if (net->policy == SIG){
        net->gamma = option_find_float(options, "gamma", 1);
        net->step = option_find_int(options, "step", 1);
    } else if (net->policy == POLY || net->policy == RANDOM){
        net->power = option_find_float(options, "power", 1);
    }
    net->max_batches = option_find_int(options, "max_batches", 0);
}

开发者ID:EricDoug，项目名称:darknet，代码行数:60，代码来源:parser.c

示例11: get_metadata

metadata get_metadata(char *file)
{
    metadata m = {0};
    list *options = read_data_cfg(file);

    char *name_list = option_find_str(options, "names", 0);
    if(!name_list) name_list = option_find_str(options, "labels", 0);
    if(!name_list) {
        fprintf(stderr, "No names or labels found\n");
    } else {
        m.names = get_labels(name_list);
    }
    m.classes = option_find_int(options, "classes", 2);
    free_list(options);
    return m;
}

开发者ID:dicksonyuan，项目名称:lightnet，代码行数:16，代码来源:option_list.c

示例12: test_detector

void test_detector(char *datacfg, char *cfgfile, char *weightfile, char *filename, float thresh, float hier_thresh)
{
	int show_flag = 1;
    list *options = read_data_cfg(datacfg);
    char *name_list = option_find_str(options, "names", "data/names.list");
    char **names = get_labels(name_list);

    image **alphabet = load_alphabet();
    network net = parse_network_cfg(cfgfile);
    if(weightfile){
        load_weights(&net, weightfile);
    }
    set_batch_network(&net, 1);
    srand(2222222);
    clock_t time;
    char buff[256];
    char *input = buff;
    int j;
    float nms=.4;
    while(1){
        if(filename){
            strncpy(input, filename, 256);
        } else {
            printf("Enter Image Path: ");
            fflush(stdout);
            input = fgets(input, 256, stdin);
            if(!input) return;
            strtok(input, "\n");
        }
        image im = load_image_color(input,0,0);
        image sized = resize_image(im, net.w, net.h);
        layer l = net.layers[net.n-1];

        box *boxes = calloc(l.w*l.h*l.n, sizeof(box));
        float **probs = calloc(l.w*l.h*l.n, sizeof(float *));
        for(j = 0; j < l.w*l.h*l.n; ++j) probs[j] = calloc(l.classes + 1, sizeof(float *));

        float *X = sized.data;
        time=clock();
        network_predict(net, X);
        printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time));
        get_region_boxes(l, 1, 1, thresh, probs, boxes, 0, 0, hier_thresh);
        if (l.softmax_tree && nms) do_nms_obj(boxes, probs, l.w*l.h*l.n, l.classes, nms);
        else if (nms) do_nms_sort(boxes, probs, l.w*l.h*l.n, l.classes, nms);
        draw_detections(im, l.w*l.h*l.n, thresh, boxes, probs, names, alphabet, l.classes, show_flag);
        save_image(im, "predictions");
        show_image(im, "predictions");

        free_image(im);
        free_image(sized);
        free(boxes);
        free_ptrs((void **)probs, l.w*l.h*l.n);
#ifdef OPENCV
        cvWaitKey(0);
        cvDestroyAllWindows();
#endif
        if (filename) break;
    }
}

开发者ID:apollos，项目名称:eyes，代码行数:59，代码来源:detector.c

示例13: parse_connected

connected_layer parse_connected(list *options, size_params params)
{
    int output = option_find_int(options, "output",1);
    char *activation_s = option_find_str(options, "activation", "logistic");
    ACTIVATION activation = get_activation(activation_s);

    connected_layer layer = make_connected_layer(params.batch, params.inputs, output, activation);

    char *weights = option_find_str(options, "weights", 0);
    char *biases = option_find_str(options, "biases", 0);
    parse_data(biases, layer.biases, output);
    parse_data(weights, layer.weights, params.inputs*output);
    #ifdef GPU
    if(weights || biases) push_connected_layer(layer);
    #endif
    return layer;
}

开发者ID:yangmeitang，项目名称:darknet，代码行数:17，代码来源:parser.c

示例14: parse_cost

cost_layer parse_cost(list *options, size_params params)
{
    char *type_s = option_find_str(options, "type", "sse");
    COST_TYPE type = get_cost_type(type_s);
    float scale = option_find_float_quiet(options, "scale",1);
    cost_layer layer = make_cost_layer(params.batch, params.inputs, type, scale);
    layer.ratio =  option_find_float_quiet(options, "ratio",0);
    return layer;
}

开发者ID:Zumbalamambo，项目名称:darknetFaceID，代码行数:9，代码来源:parser.c

示例15: parse_softmax

softmax_layer parse_softmax(list *options, size_params params)
{
    int groups = option_find_int_quiet(options, "groups",1);
    softmax_layer layer = make_softmax_layer(params.batch, params.inputs, groups);
    layer.temperature = option_find_float_quiet(options, "temperature", 1);
    char *tree_file = option_find_str(options, "tree", 0);
    if (tree_file) layer.softmax_tree = read_tree(tree_file);
    return layer;
}

开发者ID:Zumbalamambo，项目名称:darknetFaceID，代码行数:9，代码来源:parser.c

示例16: parse_connected

layer parse_connected(list *options, size_params params)
{
    int output = option_find_int(options, "output",1);
    char *activation_s = option_find_str(options, "activation", "logistic");
    ACTIVATION activation = get_activation(activation_s);
    int batch_normalize = option_find_int_quiet(options, "batch_normalize", 0);

    layer l = make_connected_layer(params.batch, params.inputs, output, activation, batch_normalize, params.net->adam);
    return l;
}

开发者ID:iscaswcm，项目名称:darknet，代码行数:10，代码来源:parser.c

示例17: parse_activation

layer parse_activation(list *options, size_params params)
{
    char *activation_s = option_find_str(options, "activation", "linear");
    ACTIVATION activation = get_activation(activation_s);

    layer l = make_activation_layer(params.batch, params.inputs, activation);

    l.h = l.out_h = params.h;
    l.w = l.out_w = params.w;
    l.c = l.out_c = params.c;

    return l;
}

开发者ID:iscaswcm，项目名称:darknet，代码行数:13，代码来源:parser.c

示例18: run_detector

void run_detector(int argc, char **argv)
{
    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);
    int frame_skip = find_int_arg(argc, argv, "-s", 0);
    if(argc < 4){
        fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]);
        return;
    }
    char *gpu_list = find_char_arg(argc, argv, "-gpus", 0);
    int *gpus = 0;
    int gpu = 0;
    int ngpus = 0;
    if(gpu_list){
        printf("%s\n", gpu_list);
        int len = strlen(gpu_list);
        ngpus = 1;
        int i;
        for(i = 0; i < len; ++i){
            if (gpu_list[i] == ',') ++ngpus;
        }
        gpus = calloc(ngpus, sizeof(int));
        for(i = 0; i < ngpus; ++i){
            gpus[i] = atoi(gpu_list);
            gpu_list = strchr(gpu_list, ',')+1;
        }
    } else {
        gpu = gpu_index;
        gpus = &gpu;
        ngpus = 1;
    }

    int clear = find_arg(argc, argv, "-clear");

    char *datacfg = argv[3];
    char *cfg = argv[4];
    char *weights = (argc > 5) ? argv[5] : 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);
    else if(0==strcmp(argv[2], "valid")) validate_detector(datacfg, cfg, weights);
    else if(0==strcmp(argv[2], "recall")) validate_detector_recall(cfg, weights);
    else if(0==strcmp(argv[2], "demo")) {
        list *options = read_data_cfg(datacfg);
        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);
    }
}

开发者ID:Zumbalamambo，项目名称:yolt，代码行数:51，代码来源:detector.c

示例19: parse_crnn

layer parse_crnn(list *options, size_params params)
{
    int output_filters = option_find_int(options, "output_filters",1);
    int hidden_filters = option_find_int(options, "hidden_filters",1);
    char *activation_s = option_find_str(options, "activation", "logistic");
    ACTIVATION activation = get_activation(activation_s);
    int batch_normalize = option_find_int_quiet(options, "batch_normalize", 0);

    layer l = make_crnn_layer(params.batch, params.w, params.h, params.c, hidden_filters, output_filters, params.time_steps, activation, batch_normalize);

    l.shortcut = option_find_int_quiet(options, "shortcut", 0);

    return l;
}

开发者ID:Zumbalamambo，项目名称:darknetFaceID，代码行数:14，代码来源:parser.c

示例20: parse_softmax

layer parse_softmax(list *options, size_params params)
{
    int groups = option_find_int_quiet(options, "groups",1);
    layer l = make_softmax_layer(params.batch, params.inputs, groups);
    l.temperature = option_find_float_quiet(options, "temperature", 1);
    char *tree_file = option_find_str(options, "tree", 0);
    if (tree_file) l.softmax_tree = read_tree(tree_file);
    l.w = params.w;
    l.h = params.h;
    l.c = params.c;
    l.spatial = option_find_float_quiet(options, "spatial", 0);
    l.noloss =  option_find_int_quiet(options, "noloss", 0);
    return l;
}

开发者ID:iscaswcm，项目名称:darknet，代码行数:14，代码来源:parser.c

注：本文中的option_find_str函数示例由纯净天空整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。

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C++ option_find_str函数代码示例

示例1: parse_deconvolutional

示例2: parse_convolutional

示例3: label_classifier

示例4: validate_classifier_full

示例5: predict_classifier

示例6: predict_classifier

示例7: parse_region

示例8: parse_convolutional

示例9: parse_cost

示例10: parse_net_options

示例11: get_metadata

示例12: test_detector

示例13: parse_connected

示例14: parse_cost

示例15: parse_softmax

示例16: parse_connected

示例17: parse_activation

示例18: run_detector

示例19: parse_crnn

示例20: parse_softmax

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