no mean on input binarization

Joseph Redmon

2016-06-19 08c7cf9c88befd845f00c00d85e40a9eead4b1b3

 src/detection_layer.c

@@ -133,6 +133,11 @@
                        best_index = 0;
                    }
                }
                /*
                if(1 && *(state.net.seen) < 100000){
                    best_index = rand()%l.n;
                }
                */

                int box_index = index + locations*(l.classes + l.n) + (i*l.n + best_index) * l.coords;
                int tbox_index = truth_index + 1 + l.classes;
@@ -181,7 +186,6 @@
            for (b = 0; b < l.batch; ++b) {
                int index = b*l.inputs;
                for (i = 0; i < locations; ++i) {
                    int truth_index = (b*locations + i)*(1+l.coords+l.classes);
                    for (j = 0; j < l.n; ++j) {
                        int p_index = index + locations*l.classes + i*l.n + j;
                        costs[b*locations*l.n + i*l.n + j] = l.delta[p_index]*l.delta[p_index];
@@ -194,7 +198,6 @@
            for (b = 0; b < l.batch; ++b) {
                int index = b*l.inputs;
                for (i = 0; i < locations; ++i) {
                    int truth_index = (b*locations + i)*(1+l.coords+l.classes);
                    for (j = 0; j < l.n; ++j) {
                        int p_index = index + locations*l.classes + i*l.n + j;
                        if (l.delta[p_index]*l.delta[p_index] < cutoff) l.delta[p_index] = 0;
@@ -233,7 +236,7 @@
        cuda_pull_array(state.truth, truth_cpu, num_truth);
    }
    cuda_pull_array(state.input, in_cpu, l.batch*l.inputs);
    network_state cpu_state;
    network_state cpu_state = state;
    cpu_state.train = state.train;
    cpu_state.truth = truth_cpu;
    cpu_state.input = in_cpu;