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So I have this new programming paradigm.......

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This commit is contained in:
Joseph Redmon
2016-09-24 23:12:54 -07:00
parent c899cc19f4
commit 481b57a96a
49 changed files with 629 additions and 914 deletions
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34
src/detection_layer.c
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@ -30,7 +30,12 @@ detection_layer make_detection_layer(int batch, int inputs, int n, int side, int
l.truths = l.side*l.side*(1+l.coords+l.classes);
l.output = calloc(batch*l.outputs, sizeof(float));
l.delta = calloc(batch*l.outputs, sizeof(float));
l.forward = forward_detection_layer;
l.backward = backward_detection_layer;
#ifdef GPU
l.forward_gpu = forward_detection_layer_gpu;
l.backward_gpu = backward_detection_layer_gpu;
l.output_gpu = cuda_make_array(l.output, batch*l.outputs);
l.delta_gpu = cuda_make_array(l.delta, batch*l.outputs);
#endif
@ -216,6 +221,35 @@ void backward_detection_layer(const detection_layer l, network_state state)
axpy_cpu(l.batch*l.inputs, 1, l.delta, 1, state.delta, 1);
}
void get_detection_boxes(layer l, int w, int h, float thresh, float **probs, box *boxes, int only_objectness)
{
int i,j,n;
float *predictions = l.output;
//int per_cell = 5*num+classes;
for (i = 0; i < l.side*l.side; ++i){
int row = i / l.side;
int col = i % l.side;
for(n = 0; n < l.n; ++n){
int index = i*l.n + n;
int p_index = l.side*l.side*l.classes + i*l.n + n;
float scale = predictions[p_index];
int box_index = l.side*l.side*(l.classes + l.n) + (i*l.n + n)*4;
boxes[index].x = (predictions[box_index + 0] + col) / l.side * w;
boxes[index].y = (predictions[box_index + 1] + row) / l.side * h;
boxes[index].w = pow(predictions[box_index + 2], (l.sqrt?2:1)) * w;
boxes[index].h = pow(predictions[box_index + 3], (l.sqrt?2:1)) * h;
for(j = 0; j < l.classes; ++j){
int class_index = i*l.classes;
float prob = scale*predictions[class_index+j];
probs[index][j] = (prob > thresh) ? prob : 0;
}
if(only_objectness){
probs[index][0] = scale;
}
}
}
}
#ifdef GPU
void forward_detection_layer_gpu(const detection_layer l, network_state state)