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https://github.com/pjreddie/darknet.git
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updates
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@ -16,6 +16,7 @@
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#include "activation_layer.h"
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#include "deconvolutional_layer.h"
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#include "detection_layer.h"
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#include "region_layer.h"
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#include "normalization_layer.h"
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#include "batchnorm_layer.h"
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#include "maxpool_layer.h"
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@ -103,6 +104,8 @@ char *get_layer_string(LAYER_TYPE a)
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return "softmax";
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case DETECTION:
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return "detection";
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case REGION:
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return "region";
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case DROPOUT:
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return "dropout";
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case CROP:
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@ -160,6 +163,8 @@ void forward_network(network net, network_state state)
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forward_batchnorm_layer(l, state);
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} else if(l.type == DETECTION){
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forward_detection_layer(l, state);
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} else if(l.type == REGION){
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forward_region_layer(l, state);
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} else if(l.type == CONNECTED){
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forward_connected_layer(l, state);
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} else if(l.type == RNN){
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@ -230,11 +235,7 @@ float get_network_cost(network net)
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float sum = 0;
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int count = 0;
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for(i = 0; i < net.n; ++i){
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if(net.layers[i].type == COST){
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sum += net.layers[i].cost[0];
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++count;
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}
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if(net.layers[i].type == DETECTION){
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if(net.layers[i].cost){
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sum += net.layers[i].cost[0];
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++count;
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}
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@ -284,6 +285,8 @@ void backward_network(network net, network_state state)
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backward_dropout_layer(l, state);
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} else if(l.type == DETECTION){
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backward_detection_layer(l, state);
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} else if(l.type == REGION){
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backward_region_layer(l, state);
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} else if(l.type == SOFTMAX){
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if(i != 0) backward_softmax_layer(l, state);
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} else if(l.type == CONNECTED){
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