stuff

Makefile

@@ -25,7 +25,7 @@ CFLAGS+=-DGPU
 LDFLAGS+= -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand
 endif
 
-OBJ=gemm.o utils.o cuda.o deconvolutional_layer.o convolutional_layer.o list.o image.o activations.o im2col.o col2im.o blas.o crop_layer.o dropout_layer.o maxpool_layer.o softmax_layer.o data.o matrix.o network.o connected_layer.o cost_layer.o normalization_layer.o parser.o option_list.o darknet.o detection_layer.o imagenet.o captcha.o detection.o
+OBJ=gemm.o utils.o cuda.o deconvolutional_layer.o convolutional_layer.o list.o image.o activations.o im2col.o col2im.o blas.o crop_layer.o dropout_layer.o maxpool_layer.o softmax_layer.o data.o matrix.o network.o connected_layer.o cost_layer.o normalization_layer.o parser.o option_list.o darknet.o detection_layer.o imagenet.o captcha.o detection.o route_layer.o
 ifeq ($(GPU), 1) 
 OBJ+=convolutional_kernels.o deconvolutional_kernels.o activation_kernels.o im2col_kernels.o col2im_kernels.o blas_kernels.o crop_layer_kernels.o dropout_layer_kernels.o maxpool_layer_kernels.o softmax_layer_kernels.o network_kernels.o
 endif

src/data.c

@@ -167,8 +167,10 @@ void fill_truth_detection(char *path, float *truth, int classes, int num_boxes,
         h = constrain(0, 1, h);
         if (w == 0 || h == 0) continue;
         if(1){
-            w = sqrt(w);
+            //w = sqrt(w);
-            h = sqrt(h);
+            //h = sqrt(h);
+            w = pow(w, 1./2.);
+            h = pow(h, 1./2.);
         }
 
         int index = (i+j*num_boxes)*(4+classes+background);

src/detection.c

@@ -308,8 +308,8 @@ void predict_detections(network net, data d, float threshold, int offset, int cl
                 float y = (pred.vals[j][ci + 1] + row)/num_boxes;
                 float w = pred.vals[j][ci + 2]; //* distance_from_edge(row, num_boxes);
                 float h = pred.vals[j][ci + 3]; //* distance_from_edge(col, num_boxes);
-                w = w*w;
+                w = pow(w, 2);
-                h = h*h;
+                h = pow(h, 2);
                 float prob = scale*pred.vals[j][k+class+background+nuisance];
                 if(prob < threshold) continue;
                 printf("%d %d %f %f %f %f %f\n", offset +  j, class, prob, x, y, w, h);

src/network.c

@@ -4,7 +4,6 @@
 #include "image.h"
 #include "data.h"
 #include "utils.h"
-#include "params.h"
 
 #include "crop_layer.h"
 #include "connected_layer.h"
@@ -16,6 +15,7 @@
 #include "normalization_layer.h"
 #include "softmax_layer.h"
 #include "dropout_layer.h"
+#include "route_layer.h"
 
 char *get_layer_string(LAYER_TYPE a)
 {
@@ -40,6 +40,8 @@ char *get_layer_string(LAYER_TYPE a)
             return "crop";
         case COST:
             return "cost";
+        case ROUTE:
+            return "route";
         default:
             break;
     }
@@ -99,6 +101,9 @@ void forward_network(network net, network_state state)
         else if(net.types[i] == DROPOUT){
             forward_dropout_layer(*(dropout_layer *)net.layers[i], state);
         }
+        else if(net.types[i] == ROUTE){
+            forward_route_layer(*(route_layer *)net.layers[i], net);
+        }
         state.input = get_network_output_layer(net, i);
     }
 }
@@ -143,6 +148,8 @@ float *get_network_output_layer(network net, int i)
         return ((crop_layer *)net.layers[i]) -> output;
     } else if(net.types[i] == NORMALIZATION){
         return ((normalization_layer *)net.layers[i]) -> output;
+    } else if(net.types[i] == ROUTE){
+        return ((route_layer *)net.layers[i]) -> output;
     }
     return 0;
 }
@@ -177,6 +184,8 @@ float *get_network_delta_layer(network net, int i)
     } else if(net.types[i] == CONNECTED){
         connected_layer layer = *(connected_layer *)net.layers[i];
         return layer.delta;
+    } else if(net.types[i] == ROUTE){
+        return ((route_layer *)net.layers[i]) -> delta;
     }
     return 0;
 }
@@ -247,10 +256,12 @@ void backward_network(network net, network_state state)
         else if(net.types[i] == CONNECTED){
             connected_layer layer = *(connected_layer *)net.layers[i];
             backward_connected_layer(layer, state);
-        }
+        } else if(net.types[i] == COST){
-        else if(net.types[i] == COST){
             cost_layer layer = *(cost_layer *)net.layers[i];
             backward_cost_layer(layer, state);
+        } else if(net.types[i] == ROUTE){
+            route_layer layer = *(route_layer *)net.layers[i];
+            backward_route_layer(layer, net);
         }
     }
 }
@@ -369,6 +380,10 @@ void set_batch_network(network *net, int b)
             crop_layer *layer = (crop_layer *)net->layers[i];
             layer->batch = b;
         }
+        else if(net->types[i] == ROUTE){
+            route_layer *layer = (route_layer *)net->layers[i];
+            layer->batch = b;
+        }
     }
 }
 
@@ -445,12 +460,17 @@ int get_network_output_size_layer(network net, int i)
         softmax_layer layer = *(softmax_layer *)net.layers[i];
         return layer.inputs;
     }
+    else if(net.types[i] == ROUTE){
+        route_layer layer = *(route_layer *)net.layers[i];
+        return layer.outputs;
+    }
     fprintf(stderr, "Can't find output size\n");
     return 0;
 }
 
 int resize_network(network net, int h, int w, int c)
 {
+    fprintf(stderr, "Might be broken, careful!!");
     int i;
     for (i = 0; i < net.n; ++i){
         if(net.types[i] == CONVOLUTIONAL){
@@ -540,6 +560,10 @@ image get_network_image_layer(network net, int i)
         crop_layer layer = *(crop_layer *)net.layers[i];
         return get_crop_image(layer);
     }
+    else if(net.types[i] == ROUTE){
+        route_layer layer = *(route_layer *)net.layers[i];
+        return get_network_image_layer(net, layer.input_layers[0]);
+    }
     return make_empty_image(0,0,0);
 }
 

src/network.h

@@ -4,7 +4,6 @@
 
 #include "image.h"
 #include "detection_layer.h"
-#include "params.h"
 #include "data.h"
 
 typedef enum {
@@ -17,6 +16,7 @@ typedef enum {
     NORMALIZATION,
     DROPOUT,
     CROP,
+    ROUTE,
     COST
 } LAYER_TYPE;
 

src/network_kernels.cu

@@ -18,11 +18,12 @@ extern "C" {
 #include "normalization_layer.h"
 #include "softmax_layer.h"
 #include "dropout_layer.h"
+#include "route_layer.h"
 }
 
 float * get_network_output_gpu_layer(network net, int i);
 float * get_network_delta_gpu_layer(network net, int i);
-float *get_network_output_gpu(network net);
+float * get_network_output_gpu(network net);
 
 void forward_network_gpu(network net, network_state state)
 {
@@ -55,6 +56,9 @@ void forward_network_gpu(network net, network_state state)
         else if(net.types[i] == CROP){
             forward_crop_layer_gpu(*(crop_layer *)net.layers[i], state);
         }
+        else if(net.types[i] == ROUTE){
+            forward_route_layer_gpu(*(route_layer *)net.layers[i], net);
+        }
         state.input = get_network_output_gpu_layer(net, i);
     }
 }
@@ -96,6 +100,9 @@ void backward_network_gpu(network net, network_state state)
         else if(net.types[i] == SOFTMAX){
             backward_softmax_layer_gpu(*(softmax_layer *)net.layers[i], state);
         }
+        else if(net.types[i] == ROUTE){
+            backward_route_layer_gpu(*(route_layer *)net.layers[i], net);
+        }
     }
 }
 
@@ -142,6 +149,9 @@ float * get_network_output_gpu_layer(network net, int i)
     else if(net.types[i] == SOFTMAX){
         return ((softmax_layer *)net.layers[i]) -> output_gpu;
     }
+    else if(net.types[i] == ROUTE){
+        return ((route_layer *)net.layers[i]) -> output_gpu;
+    }
     else if(net.types[i] == DROPOUT){
         return get_network_output_gpu_layer(net, i-1);
     }
@@ -170,6 +180,10 @@ float * get_network_delta_gpu_layer(network net, int i)
         maxpool_layer layer = *(maxpool_layer *)net.layers[i];
         return layer.delta_gpu;
     }
+    else if(net.types[i] == ROUTE){
+        route_layer layer = *(route_layer *)net.layers[i];
+        return layer.delta_gpu;
+    }
     else if(net.types[i] == SOFTMAX){
         softmax_layer layer = *(softmax_layer *)net.layers[i];
         return layer.delta_gpu;

src/parser.c

@@ -14,6 +14,7 @@
 #include "softmax_layer.h"
 #include "dropout_layer.h"
 #include "detection_layer.h"
+#include "route_layer.h"
 #include "list.h"
 #include "option_list.h"
 #include "utils.h"
@@ -34,6 +35,7 @@ int is_crop(section *s);
 int is_cost(section *s);
 int is_detection(section *s);
 int is_normalization(section *s);
+int is_route(section *s);
 list *read_cfg(char *filename);
 
 void free_section(section *s)
@@ -246,6 +248,32 @@ normalization_layer *parse_normalization(list *options, size_params params)
     return layer;
 }
 
+route_layer *parse_route(list *options, size_params params, network net)
+{
+    char *l = option_find(options, "layers");   
+    int len = strlen(l);
+    if(!l) error("Route Layer must specify input layers");
+    int n = 1;
+    int i;
+    for(i = 0; i < len; ++i){
+        if (l[i] == ',') ++n;
+    }
+
+    int *layers = calloc(n, sizeof(int));
+    int *sizes = calloc(n, sizeof(int));
+    for(i = 0; i < n; ++i){
+        int index = atoi(l);
+        l = strchr(l, ',')+1;
+        layers[i] = index;
+        sizes[i] = get_network_output_size_layer(net, index);
+    }
+    int batch = params.batch;
+
+    route_layer *layer = make_route_layer(batch, n, layers, sizes);
+    option_unused(options);
+    return layer;
+}
+
 void parse_net_options(list *options, network *net)
 {
     net->batch = option_find_int(options, "batch",1);
@@ -326,6 +354,10 @@ network parse_network_cfg(char *filename)
             normalization_layer *layer = parse_normalization(options, params);
             net.types[count] = NORMALIZATION;
             net.layers[count] = layer;
+        }else if(is_route(s)){
+            route_layer *layer = parse_route(options, params, net);
+            net.types[count] = ROUTE;
+            net.layers[count] = layer;
         }else if(is_dropout(s)){
             dropout_layer *layer = parse_dropout(options, params);
             net.types[count] = DROPOUT;
@@ -402,6 +434,10 @@ int is_normalization(section *s)
     return (strcmp(s->type, "[lrnorm]")==0
             || strcmp(s->type, "[localresponsenormalization]")==0);
 }
+int is_route(section *s)
+{
+    return (strcmp(s->type, "[route]")==0);
+}
 
 int read_option(char *s, list *options)
 {