未验证 提交 47168259 编写于 作者: C chengduo 提交者: GitHub

Merge pull request #8151 from chengduoZH/fixbug/prior_box

Refine prior_box_op
......@@ -44,12 +44,6 @@ class PriorBoxOp : public framework::OperatorWithKernel {
auto aspect_ratios = ctx->Attrs().Get<std::vector<float>>("aspect_ratios");
bool flip = ctx->Attrs().Get<bool>("flip");
PADDLE_ENFORCE_GT(min_sizes.size(), 0,
"Size of min_sizes must be at least 1.");
for (size_t i = 0; i < min_sizes.size(); ++i) {
PADDLE_ENFORCE_GT(min_sizes[i], 0, "min_sizes[%d] must be positive.", i);
}
std::vector<float> aspect_ratios_vec;
ExpandAspectRatios(aspect_ratios, flip, aspect_ratios_vec);
......@@ -65,17 +59,6 @@ class PriorBoxOp : public framework::OperatorWithKernel {
}
}
PADDLE_ENFORCE_EQ(variances.size(), 4, "Must and only provide 4 variance.");
for (size_t i = 0; i < variances.size(); ++i) {
PADDLE_ENFORCE_GT(variances[i], 0.0,
"variance[%d] must be greater than 0.", i);
}
const float step_h = ctx->Attrs().Get<float>("step_h");
PADDLE_ENFORCE_GT(step_h, 0.0, "step_h should be larger than 0.");
const float step_w = ctx->Attrs().Get<float>("step_w");
PADDLE_ENFORCE_GT(step_w, 0.0, "step_w should be larger than 0.");
std::vector<int64_t> dim_vec(4);
dim_vec[0] = input_dims[2];
dim_vec[1] = input_dims[3];
......@@ -106,26 +89,54 @@ class PriorBoxOpMaker : public framework::OpProtoAndCheckerMaker {
"PriorBoxOp. The layout is [H, W, num_priors, 4]. "
"H is the height of input, W is the width of input, num_priors "
"is the box count of each position.");
AddAttr<std::vector<int>>("min_sizes", "(vector<int>) ",
"List of min sizes of generated prior boxes.");
AddAttr<std::vector<int>>("max_sizes", "(vector<int>) ",
"List of max sizes of generated prior boxes.");
AddAttr<std::vector<int>>("min_sizes",
"(vector<int>) List of min sizes "
"of generated prior boxes.")
.AddCustomChecker([](const std::vector<int>& min_sizes) {
PADDLE_ENFORCE_GT(min_sizes.size(), 0,
"Size of min_sizes must be at least 1.");
for (size_t i = 0; i < min_sizes.size(); ++i) {
PADDLE_ENFORCE_GT(min_sizes[i], 0,
"min_sizes[%d] must be positive.", i);
}
});
AddAttr<std::vector<int>>(
"max_sizes",
"(vector<int>) List of max sizes of generated prior boxes.");
AddAttr<std::vector<float>>(
"aspect_ratios", "(vector<float>) ",
"List of aspect ratios of generated prior boxes.");
"aspect_ratios",
"(vector<float>) List of aspect ratios of generated prior boxes.");
AddAttr<std::vector<float>>(
"variances", "(vector<float>) ",
"List of variances to be encoded in prior boxes.");
AddAttr<bool>("flip", "(bool) ", "Whether to flip aspect ratios.")
"variances",
"(vector<float>) List of variances to be encoded in prior boxes.")
.AddCustomChecker([](const std::vector<float>& variances) {
PADDLE_ENFORCE_EQ(variances.size(), 4,
"Must and only provide 4 variance.");
for (size_t i = 0; i < variances.size(); ++i) {
PADDLE_ENFORCE_GT(variances[i], 0.0,
"variance[%d] must be greater than 0.", i);
}
});
AddAttr<bool>("flip", "(bool) Whether to flip aspect ratios.")
.SetDefault(true);
AddAttr<bool>("clip", "(bool) ", "Whether to clip out-of-boundary boxes.")
AddAttr<bool>("clip", "(bool) Whether to clip out-of-boundary boxes.")
.SetDefault(true);
AddAttr<float>("step_w",
"Prior boxes step across width, 0 for auto calculation.")
.SetDefault(0.0);
.SetDefault(0.0)
.AddCustomChecker([](const float& step_w) {
PADDLE_ENFORCE_GT(step_w, 0.0, "step_w should be larger than 0.");
});
AddAttr<float>("step_h",
"Prior boxes step across height, 0 for auto calculation.")
.SetDefault(0.0);
.SetDefault(0.0)
.AddCustomChecker([](const float& step_h) {
PADDLE_ENFORCE_GT(step_h, 0.0, "step_h should be larger than 0.");
});
AddAttr<float>("offset",
"(float) "
"Prior boxes center offset.")
......
......@@ -25,7 +25,7 @@ inline void ExpandAspectRatios(const std::vector<float>& input_aspect_ratior,
std::vector<float>& output_aspect_ratior) {
constexpr float epsilon = 1e-6;
output_aspect_ratior.clear();
output_aspect_ratior.push_back(1.);
output_aspect_ratior.push_back(1.0f);
for (size_t i = 0; i < input_aspect_ratior.size(); ++i) {
float ar = input_aspect_ratior[i];
bool already_exist = false;
......@@ -38,7 +38,7 @@ inline void ExpandAspectRatios(const std::vector<float>& input_aspect_ratior,
if (!already_exist) {
output_aspect_ratior.push_back(ar);
if (flip) {
output_aspect_ratior.push_back(1. / ar);
output_aspect_ratior.push_back(1.0f / ar);
}
}
}
......@@ -46,7 +46,7 @@ inline void ExpandAspectRatios(const std::vector<float>& input_aspect_ratior,
template <typename T>
struct ClipFunctor {
HOSTDEVICE T operator()(T in) const {
HOSTDEVICE inline T operator()(T in) const {
return std::min<T>(std::max<T>(in, 0.), 1.);
}
};
......@@ -97,6 +97,9 @@ class PriorBoxOpKernel : public framework::OpKernel<T> {
boxes->mutable_data<T>(ctx.GetPlace());
vars->mutable_data<T>(ctx.GetPlace());
T inv_img_width = 1.0 / img_width;
T inv_img_height = 1.0 / img_height;
auto e_boxes = framework::EigenTensor<T, 4>::From(*boxes);
for (int h = 0; h < feature_height; ++h) {
for (int w = 0; w < feature_width; ++w) {
......@@ -109,13 +112,15 @@ class PriorBoxOpKernel : public framework::OpKernel<T> {
// first prior: aspect_ratio = 1, size = min_size
box_width = box_height = min_size;
// xmin
e_boxes(h, w, idx, 0) = (center_x - box_width / 2.) / img_width;
e_boxes(h, w, idx, 0) = (center_x - box_width * 0.5) * inv_img_width;
// ymin
e_boxes(h, w, idx, 1) = (center_y - box_height / 2.) / img_height;
e_boxes(h, w, idx, 1) =
(center_y - box_height * 0.5) * inv_img_height;
// xmax
e_boxes(h, w, idx, 2) = (center_x + box_width / 2.) / img_width;
e_boxes(h, w, idx, 2) = (center_x + box_width * 0.5) * inv_img_width;
// ymax
e_boxes(h, w, idx, 3) = (center_y + box_height / 2.) / img_height;
e_boxes(h, w, idx, 3) =
(center_y + box_height * 0.5) * inv_img_height;
idx++;
if (max_sizes.size() > 0) {
......@@ -124,13 +129,17 @@ class PriorBoxOpKernel : public framework::OpKernel<T> {
// size = sqrt(min_size * max_size)
box_width = box_height = sqrt(min_size * max_size);
// xmin
e_boxes(h, w, idx, 0) = (center_x - box_width / 2.) / img_width;
e_boxes(h, w, idx, 0) =
(center_x - box_width * 0.5) * inv_img_width;
// ymin
e_boxes(h, w, idx, 1) = (center_y - box_height / 2.) / img_height;
e_boxes(h, w, idx, 1) =
(center_y - box_height * 0.5) * inv_img_height;
// xmax
e_boxes(h, w, idx, 2) = (center_x + box_width / 2.) / img_width;
e_boxes(h, w, idx, 2) =
(center_x + box_width * 0.5) * inv_img_width;
// ymax
e_boxes(h, w, idx, 3) = (center_y + box_height / 2.) / img_height;
e_boxes(h, w, idx, 3) =
(center_y + box_height * 0.5) * inv_img_height;
idx++;
}
......@@ -143,13 +152,17 @@ class PriorBoxOpKernel : public framework::OpKernel<T> {
box_width = min_size * sqrt(ar);
box_height = min_size / sqrt(ar);
// xmin
e_boxes(h, w, idx, 0) = (center_x - box_width / 2.) / img_width;
e_boxes(h, w, idx, 0) =
(center_x - box_width * 0.5) * inv_img_width;
// ymin
e_boxes(h, w, idx, 1) = (center_y - box_height / 2.) / img_height;
e_boxes(h, w, idx, 1) =
(center_y - box_height * 0.5) * inv_img_height;
// xmax
e_boxes(h, w, idx, 2) = (center_x + box_width / 2.) / img_width;
e_boxes(h, w, idx, 2) =
(center_x + box_width * 0.5) * inv_img_width;
// ymax
e_boxes(h, w, idx, 3) = (center_y + box_height / 2.) / img_height;
e_boxes(h, w, idx, 3) =
(center_y + box_height * 0.5) * inv_img_height;
idx++;
}
}
......
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