level adjustment for images

Joseph Redmon

2015-04-15 d97331b88ff3d50035b1e22c9d0eb671b61227e3

 src/detection_layer.c

@@ -16,7 +16,7 @@
    return get_detection_layer_locations(layer)*(layer.background + layer.classes + layer.coords);
}

detection_layer *make_detection_layer(int batch, int inputs, int classes, int coords, int rescore, int background)
detection_layer *make_detection_layer(int batch, int inputs, int classes, int coords, int rescore, int background, int nuisance)
{
    detection_layer *layer = calloc(1, sizeof(detection_layer));
    
@@ -25,6 +25,7 @@
    layer->classes = classes;
    layer->coords = coords;
    layer->rescore = rescore;
    layer->nuisance = nuisance;
    layer->background = background;
    int outputs = get_detection_layer_output_size(*layer);
    layer->output = calloc(batch*outputs, sizeof(float));
@@ -72,12 +73,18 @@
        int mask = (!state.truth || state.truth[out_i + layer.background + layer.classes + 2]);
        float scale = 1;
        if(layer.rescore) scale = state.input[in_i++];
        if(layer.background) layer.output[out_i++] = scale*state.input[in_i++];
        else if(layer.nuisance){
            layer.output[out_i++] = 1-state.input[in_i++];
            scale = mask;
        }
        else if(layer.background) layer.output[out_i++] = scale*state.input[in_i++];

        for(j = 0; j < layer.classes; ++j){
            layer.output[out_i++] = scale*state.input[in_i++];
        }
        if(layer.background){
        if(layer.nuisance){
            
        }else if(layer.background){
            softmax_array(layer.output + out_i - layer.classes-layer.background, layer.classes+layer.background, layer.output + out_i - layer.classes-layer.background);
            activate_array(state.input+in_i, layer.coords, LOGISTIC);
        }
@@ -85,6 +92,20 @@
            layer.output[out_i++] = mask*state.input[in_i++];
        }
    }
    /*
    int count = 0;
    for(i = 0; i < layer.batch*locations; ++i){
        for(j = 0; j < layer.classes+layer.background; ++j){
            printf("%f, ", layer.output[count++]);
        }
        printf("\n");
        for(j = 0; j < layer.coords; ++j){
            printf("%f, ", layer.output[count++]);
        }
        printf("\n");
    }
    */
    /*
    if(layer.background || 1){
        for(i = 0; i < layer.batch*locations; ++i){
            int index = i*(layer.classes+layer.coords+layer.background);
@@ -95,6 +116,7 @@
            }
        }
    }
    */
}

void backward_detection_layer(const detection_layer layer, network_state state)
@@ -107,13 +129,16 @@
        float scale = 1;
        float latent_delta = 0;
        if(layer.rescore) scale = state.input[in_i++];
        if(layer.background) state.delta[in_i++] = scale*layer.delta[out_i++];
        else if (layer.nuisance)   state.delta[in_i++] = -layer.delta[out_i++];
        else if (layer.background) state.delta[in_i++] = scale*layer.delta[out_i++];
        for(j = 0; j < layer.classes; ++j){
            latent_delta += state.input[in_i]*layer.delta[out_i];
            state.delta[in_i++] = scale*layer.delta[out_i++];
        }

        if (layer.background) gradient_array(layer.output + out_i, layer.coords, LOGISTIC, layer.delta + out_i);
        if (layer.nuisance) {

        }else if (layer.background) gradient_array(layer.output + out_i, layer.coords, LOGISTIC, layer.delta + out_i);
        for(j = 0; j < layer.coords; ++j){
            state.delta[in_i++] = layer.delta[out_i++];
        }