Merge pull request #17564 from l-bat:fix_yolov4

pull/17574/head
Alexander Alekhin 5 years ago
commit 619462b029
  1. 48
      modules/dnn/src/layers/region_layer.cpp

@ -412,12 +412,12 @@ public:
auto scale_x_y_node = std::make_shared<ngraph::op::Constant>(ngraph::element::f32, ngraph::Shape{1}, &scale_x_y);
auto shift_node = std::make_shared<ngraph::op::Constant>(ngraph::element::f32, ngraph::Shape{1}, std::vector<float>{0.5});
auto axis = ngraph::op::Constant::create<int64_t>(ngraph::element::i64, ngraph::Shape{}, {0});
auto splits = ngraph::op::Constant::create<int64_t>(ngraph::element::i64, ngraph::Shape{5}, {1, 1, 1, 1, rows - 4});
auto split = std::make_shared<ngraph::op::v1::VariadicSplit>(input2d, axis, splits);
std::shared_ptr<ngraph::Node> box_x;
{
auto lower_bounds = std::make_shared<ngraph::op::Constant>(ngraph::element::i64, ngraph::Shape{2}, std::vector<int64_t>{0, 0});
auto upper_bounds = std::make_shared<ngraph::op::Constant>(ngraph::element::i64, ngraph::Shape{2}, std::vector<int64_t>{1, cols});
box_x = std::make_shared<ngraph::op::v1::StridedSlice>(input2d, lower_bounds, upper_bounds, strides, std::vector<int64_t>{}, std::vector<int64_t>{});
box_x = std::make_shared<ngraph::op::Sigmoid>(box_x);
box_x = std::make_shared<ngraph::op::Sigmoid>(split->output(0));
box_x = std::make_shared<ngraph::op::v1::Subtract>(box_x, shift_node, ngraph::op::AutoBroadcastType::NUMPY);
box_x = std::make_shared<ngraph::op::v1::Multiply>(box_x, scale_x_y_node, ngraph::op::AutoBroadcastType::NUMPY);
box_x = std::make_shared<ngraph::op::v1::Add>(box_x, shift_node, ngraph::op::AutoBroadcastType::NUMPY);
@ -443,10 +443,7 @@ public:
std::shared_ptr<ngraph::Node> box_y;
{
auto lower_bounds = std::make_shared<ngraph::op::Constant>(ngraph::element::i64, ngraph::Shape{2}, std::vector<int64_t>{1, 0});
auto upper_bounds = std::make_shared<ngraph::op::Constant>(ngraph::element::i64, ngraph::Shape{2}, std::vector<int64_t>{2, cols});
box_y = std::make_shared<ngraph::op::v1::StridedSlice>(input2d, lower_bounds, upper_bounds, strides, std::vector<int64_t>{}, std::vector<int64_t>{});
box_y = std::make_shared<ngraph::op::Sigmoid>(box_y);
box_y = std::make_shared<ngraph::op::Sigmoid>(split->output(1));
box_y = std::make_shared<ngraph::op::v1::Subtract>(box_y, shift_node, ngraph::op::AutoBroadcastType::NUMPY);
box_y = std::make_shared<ngraph::op::v1::Multiply>(box_y, scale_x_y_node, ngraph::op::AutoBroadcastType::NUMPY);
box_y = std::make_shared<ngraph::op::v1::Add>(box_y, shift_node, ngraph::op::AutoBroadcastType::NUMPY);
@ -499,45 +496,32 @@ public:
std::copy(bias_h.begin(), bias_h.begin() + h * anchors, bias_h.begin() + i * h * anchors);
}
auto lower_bounds = std::make_shared<ngraph::op::Constant>(ngraph::element::i64, ngraph::Shape{2}, std::vector<int64_t>{2, 0});
auto upper_bounds = std::make_shared<ngraph::op::Constant>(ngraph::element::i64, ngraph::Shape{2}, std::vector<int64_t>{3, cols});
box_w = std::make_shared<ngraph::op::v1::StridedSlice>(input2d, lower_bounds, upper_bounds, strides, std::vector<int64_t>{}, std::vector<int64_t>{});
box_w = std::make_shared<ngraph::op::v0::Exp>(box_w);
box_w = std::make_shared<ngraph::op::v0::Exp>(split->output(2));
box_w = std::make_shared<ngraph::op::v1::Reshape>(box_w, shape_3d, true);
auto anchor_w_node = std::make_shared<ngraph::op::Constant>(ngraph::element::f32, box_broad_shape, bias_w.data());
box_w = std::make_shared<ngraph::op::v1::Multiply>(box_w, anchor_w_node, ngraph::op::AutoBroadcastType::NUMPY);
lower_bounds = std::make_shared<ngraph::op::Constant>(ngraph::element::i64, ngraph::Shape{2}, std::vector<int64_t>{3, 0});
upper_bounds = std::make_shared<ngraph::op::Constant>(ngraph::element::i64, ngraph::Shape{2}, std::vector<int64_t>{4, cols});
box_h = std::make_shared<ngraph::op::v1::StridedSlice>(input2d, lower_bounds, upper_bounds, strides, std::vector<int64_t>{}, std::vector<int64_t>{});
box_h = std::make_shared<ngraph::op::v0::Exp>(box_h);
box_h = std::make_shared<ngraph::op::v0::Exp>(split->output(3));
box_h = std::make_shared<ngraph::op::v1::Reshape>(box_h, shape_3d, true);
auto anchor_h_node = std::make_shared<ngraph::op::Constant>(ngraph::element::f32, box_broad_shape, bias_h.data());
box_h = std::make_shared<ngraph::op::v1::Multiply>(box_h, anchor_h_node, ngraph::op::AutoBroadcastType::NUMPY);
}
std::shared_ptr<ngraph::Node> scale;
{
auto lower_bounds = std::make_shared<ngraph::op::Constant>(ngraph::element::i64, ngraph::Shape{2}, std::vector<int64_t>{4, 0});
auto upper_bounds = std::make_shared<ngraph::op::Constant>(ngraph::element::i64, ngraph::Shape{2}, std::vector<int64_t>{5, cols});
scale = std::make_shared<ngraph::op::v1::StridedSlice>(region, lower_bounds, upper_bounds, strides, std::vector<int64_t>{}, std::vector<int64_t>{});
auto region_splits = ngraph::op::Constant::create<int64_t>(ngraph::element::i64, ngraph::Shape{3}, {4, 1, rows - 5});
auto region_split = std::make_shared<ngraph::op::v1::VariadicSplit>(region, axis, region_splits);
if (classfix == -1)
std::shared_ptr<ngraph::Node> scale;
{
auto thresh_node = std::make_shared<ngraph::op::Constant>(ngraph::element::f32, ngraph::Shape{1}, std::vector<float>{0.5});
auto mask = std::make_shared<ngraph::op::v1::Less>(scale, thresh_node);
auto zero_node = std::make_shared<ngraph::op::Constant>(ngraph::element::f32, mask->get_shape(), std::vector<float>(b * cols, 0));
scale = std::make_shared<ngraph::op::v1::Select>(mask, scale, zero_node);
}
float thr = classfix == -1 ? 0.5 : 0;
auto thresh_node = std::make_shared<ngraph::op::Constant>(ngraph::element::f32, ngraph::Shape{1}, std::vector<float>{thr});
auto mask = std::make_shared<ngraph::op::v1::Less>(region_split->output(1), thresh_node);
auto zero_node = std::make_shared<ngraph::op::Constant>(ngraph::element::f32, mask->get_shape(), std::vector<float>(cols, 0));
scale = std::make_shared<ngraph::op::v1::Select>(mask, zero_node, region_split->output(1));
}
std::shared_ptr<ngraph::Node> probs;
{
auto lower_bounds = std::make_shared<ngraph::op::Constant>(ngraph::element::i64, ngraph::Shape{2}, std::vector<int64_t>{5, 0});
auto upper_bounds = std::make_shared<ngraph::op::Constant>(ngraph::element::i64, ngraph::Shape{2}, std::vector<int64_t>{rows, cols});
auto classes = std::make_shared<ngraph::op::v1::StridedSlice>(region, lower_bounds, upper_bounds, strides, std::vector<int64_t>{}, std::vector<int64_t>{});
probs = std::make_shared<ngraph::op::v1::Multiply>(classes, scale, ngraph::op::AutoBroadcastType::NUMPY);
probs = std::make_shared<ngraph::op::v1::Multiply>(region_split->output(2), scale, ngraph::op::AutoBroadcastType::NUMPY);
auto thresh_node = std::make_shared<ngraph::op::Constant>(ngraph::element::f32, ngraph::Shape{1}, &thresh);
auto mask = std::make_shared<ngraph::op::v1::Greater>(probs, thresh_node);
auto zero_node = std::make_shared<ngraph::op::Constant>(ngraph::element::f32, mask->get_shape(), std::vector<float>((rows - 5) * cols, 0));

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