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detection exp
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@ -330,8 +330,9 @@ void forward_detection_layer(const detection_layer l, network_state state)
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l.output[out_i++] = mask*state.input[in_i++];
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}
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}
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float avg_iou = 0;
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int count = 0;
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if(l.does_cost && state.train){
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int count = 0;
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*(l.cost) = 0;
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int size = get_detection_layer_output_size(l) * l.batch;
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memset(l.delta, 0, size * sizeof(float));
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@ -342,65 +343,54 @@ void forward_detection_layer(const detection_layer l, network_state state)
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*(l.cost) += pow(state.truth[j] - l.output[j], 2);
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l.delta[j] = state.truth[j] - l.output[j];
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}
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box truth;
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truth.x = state.truth[j+0];
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truth.y = state.truth[j+1];
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truth.w = state.truth[j+2];
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truth.h = state.truth[j+3];
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truth.x = state.truth[j+0]/7;
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truth.y = state.truth[j+1]/7;
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truth.w = pow(state.truth[j+2], 2);
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truth.h = pow(state.truth[j+3], 2);
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box out;
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out.x = l.output[j+0];
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out.y = l.output[j+1];
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out.w = l.output[j+2];
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out.h = l.output[j+3];
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out.x = l.output[j+0]/7;
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out.y = l.output[j+1]/7;
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out.w = pow(l.output[j+2], 2);
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out.h = pow(l.output[j+3], 2);
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if(!(truth.w*truth.h)) continue;
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l.delta[j+0] = (truth.x - out.x);
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l.delta[j+1] = (truth.y - out.y);
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l.delta[j+2] = (truth.w - out.w);
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l.delta[j+3] = (truth.h - out.h);
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*(l.cost) += pow((out.x - truth.x), 2);
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*(l.cost) += pow((out.y - truth.y), 2);
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*(l.cost) += pow((out.w - truth.w), 2);
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*(l.cost) += pow((out.h - truth.h), 2);
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/*
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l.delta[j+0] = .1 * (truth.x - out.x) / (49 * truth.w * truth.w);
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l.delta[j+1] = .1 * (truth.y - out.y) / (49 * truth.h * truth.h);
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l.delta[j+2] = .1 * (truth.w - out.w) / ( truth.w * truth.w);
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l.delta[j+3] = .1 * (truth.h - out.h) / ( truth.h * truth.h);
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*(l.cost) += pow((out.x - truth.x)/truth.w/7., 2);
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*(l.cost) += pow((out.y - truth.y)/truth.h/7., 2);
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*(l.cost) += pow((out.w - truth.w)/truth.w, 2);
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*(l.cost) += pow((out.h - truth.h)/truth.h, 2);
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*/
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float iou = box_iou(out, truth);
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avg_iou += iou;
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++count;
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dbox delta = diou(out, truth);
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l.delta[j+0] = 10 * delta.dx/7;
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l.delta[j+1] = 10 * delta.dy/7;
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l.delta[j+2] = 10 * delta.dw * 2 * sqrt(out.w);
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l.delta[j+3] = 10 * delta.dh * 2 * sqrt(out.h);
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*(l.cost) += pow((1-iou), 2);
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if(0){
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l.delta[j+0] = (state.truth[j+0] - l.output[j+0]);
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l.delta[j+1] = (state.truth[j+1] - l.output[j+1]);
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l.delta[j+2] = (state.truth[j+2] - l.output[j+2]);
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l.delta[j+3] = (state.truth[j+3] - l.output[j+3]);
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}else{
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l.delta[j+0] = 4 * (state.truth[j+0] - l.output[j+0]) / 7;
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l.delta[j+1] = 4 * (state.truth[j+1] - l.output[j+1]) / 7;
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l.delta[j+2] = 4 * (state.truth[j+2] - l.output[j+2]);
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l.delta[j+3] = 4 * (state.truth[j+3] - l.output[j+3]);
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}
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if(0){
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for (j = offset; j < offset+classes; ++j) {
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if(state.truth[j]) state.truth[j] = iou;
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l.delta[j] = state.truth[j] - l.output[j];
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}
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}
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/*
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*/
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}
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printf("Avg IOU: %f\n", avg_iou/count);
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}
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/*
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int count = 0;
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for(i = 0; i < l.batch*locations; ++i){
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for(j = 0; j < l.classes+l.background; ++j){
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printf("%f, ", l.output[count++]);
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}
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printf("\n");
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for(j = 0; j < l.coords; ++j){
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printf("%f, ", l.output[count++]);
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}
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printf("\n");
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}
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*/
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/*
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if(l.background || 1){
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for(i = 0; i < l.batch*locations; ++i){
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int index = i*(l.classes+l.coords+l.background);
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for(j= 0; j < l.classes; ++j){
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if(state.truth[index+j+l.background]){
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//dark_zone(l, j, index, state);
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}
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}
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}
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}
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*/
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}
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void backward_detection_layer(const detection_layer l, network_state state)
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