mirror of https://github.com/davisking/dlib.git
Fix crash when truth center is outside of the image (#2471)
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@ -3682,7 +3682,7 @@ namespace dlib
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tensor& grad = layer<TAG_TYPE>(sub).get_gradient_input();
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DLIB_CASSERT(input_tensor.num_samples() == grad.num_samples());
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DLIB_CASSERT(input_tensor.num_samples() == output_tensor.num_samples());
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const double input_area = input_tensor.nr() * input_tensor.nc();
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const rectangle input_rect(input_tensor.nr(), input_tensor.nc());
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float* g = grad.host();
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// Compute the objectness loss for all grid cells
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@ -3709,7 +3709,7 @@ namespace dlib
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double best_iou = 0;
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for (const yolo_rect& truth_box : *truth)
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{
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if (truth_box.ignore)
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if (truth_box.ignore || !input_rect.contains(center(truth_box.rect)))
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continue;
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best_iou = std::max(best_iou, box_intersection_over_union(truth_box.rect, pred.rect));
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}
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@ -3724,7 +3724,7 @@ namespace dlib
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// Now find the best anchor box for each truth box
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for (const yolo_rect& truth_box : *truth)
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{
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if (truth_box.ignore)
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if (truth_box.ignore || !input_rect.contains(center(truth_box.rect)))
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continue;
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const dpoint t_center = dcenter(truth_box);
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double best_iou = 0;
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@ -3780,7 +3780,7 @@ namespace dlib
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const double th = truth_box.rect.height() / (anchors[a].height + truth_box.rect.height());
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// Scale regression error according to the truth size
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const double scale_box = options.lambda_box * (2 - truth_box.rect.area() / input_area);
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const double scale_box = options.lambda_box * (2 - truth_box.rect.area() / input_rect.area());
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// Compute the gradient for the box coordinates
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g[x_idx] = scale_box * (out_data[x_idx] - tx);
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