mirror of
https://github.com/opencv/opencv.git
synced 2026-07-31 00:03:03 +04:00
Update PriorBox layer
This commit is contained in:
@@ -54,9 +54,9 @@ namespace dnn
|
||||
class PriorBoxLayerImpl : public PriorBoxLayer
|
||||
{
|
||||
public:
|
||||
bool getParameterDict(const LayerParams ¶ms,
|
||||
const std::string ¶meterName,
|
||||
DictValue& result)
|
||||
static bool getParameterDict(const LayerParams ¶ms,
|
||||
const std::string ¶meterName,
|
||||
DictValue& result)
|
||||
{
|
||||
if (!params.has(parameterName))
|
||||
{
|
||||
@@ -98,7 +98,8 @@ public:
|
||||
{
|
||||
DictValue aspectRatioParameter;
|
||||
bool aspectRatioRetieved = getParameterDict(params, "aspect_ratio", aspectRatioParameter);
|
||||
CV_Assert(aspectRatioRetieved);
|
||||
if (!aspectRatioRetieved)
|
||||
return;
|
||||
|
||||
for (int i = 0; i < aspectRatioParameter.size(); ++i)
|
||||
{
|
||||
@@ -124,18 +125,20 @@ public:
|
||||
}
|
||||
}
|
||||
|
||||
void getScales(const LayerParams ¶ms)
|
||||
static void getParams(const std::string& name, const LayerParams ¶ms,
|
||||
std::vector<float>* values)
|
||||
{
|
||||
DictValue scalesParameter;
|
||||
bool scalesRetieved = getParameterDict(params, "scales", scalesParameter);
|
||||
if (scalesRetieved)
|
||||
DictValue dict;
|
||||
if (getParameterDict(params, name, dict))
|
||||
{
|
||||
_scales.resize(scalesParameter.size());
|
||||
for (int i = 0; i < scalesParameter.size(); ++i)
|
||||
values->resize(dict.size());
|
||||
for (int i = 0; i < dict.size(); ++i)
|
||||
{
|
||||
_scales[i] = scalesParameter.get<float>(i);
|
||||
(*values)[i] = dict.get<float>(i);
|
||||
}
|
||||
}
|
||||
else
|
||||
values->clear();
|
||||
}
|
||||
|
||||
void getVariance(const LayerParams ¶ms)
|
||||
@@ -177,20 +180,31 @@ public:
|
||||
: _boxWidth(0), _boxHeight(0)
|
||||
{
|
||||
setParamsFrom(params);
|
||||
_minSize = getParameter<float>(params, "min_size");
|
||||
CV_Assert(_minSize > 0);
|
||||
|
||||
_flip = getParameter<bool>(params, "flip");
|
||||
_clip = getParameter<bool>(params, "clip");
|
||||
_minSize = getParameter<float>(params, "min_size", 0, false, 0);
|
||||
_flip = getParameter<bool>(params, "flip", 0, false, true);
|
||||
_clip = getParameter<bool>(params, "clip", 0, false, true);
|
||||
|
||||
_scales.clear();
|
||||
_aspectRatios.clear();
|
||||
|
||||
getAspectRatios(params);
|
||||
getVariance(params);
|
||||
getScales(params);
|
||||
getParams("scales", params, &_scales);
|
||||
getParams("width", params, &_widths);
|
||||
getParams("height", params, &_heights);
|
||||
_explicitSizes = !_widths.empty();
|
||||
CV_Assert(_widths.size() == _heights.size());
|
||||
|
||||
_numPriors = _aspectRatios.size() + 1; // + 1 for an aspect ratio 1.0
|
||||
if (_explicitSizes)
|
||||
{
|
||||
CV_Assert(_aspectRatios.empty(), !params.has("min_size"), !params.has("max_size"));
|
||||
_numPriors = _widths.size();
|
||||
}
|
||||
else
|
||||
{
|
||||
CV_Assert(!_aspectRatios.empty(), _minSize > 0);
|
||||
_numPriors = _aspectRatios.size() + 1; // + 1 for an aspect ratio 1.0
|
||||
}
|
||||
|
||||
_maxSize = -1;
|
||||
if (params.has("max_size"))
|
||||
@@ -216,14 +230,20 @@ public:
|
||||
_stepY = 0;
|
||||
_stepX = 0;
|
||||
}
|
||||
if(params.has("additional_y_offset"))
|
||||
if (params.has("offset_h") || params.has("offset_w"))
|
||||
{
|
||||
_additional_y_offset = getParameter<bool>(params, "additional_y_offset");
|
||||
if(_additional_y_offset)
|
||||
_numPriors *= 2;
|
||||
CV_Assert(!params.has("offset"), params.has("offset_h"), params.has("offset_w"));
|
||||
getParams("offset_h", params, &_offsetsY);
|
||||
getParams("offset_w", params, &_offsetsX);
|
||||
CV_Assert(_offsetsX.size() == _offsetsY.size());
|
||||
_numPriors *= std::max((size_t)1, 2 * (_offsetsX.size() - 1));
|
||||
}
|
||||
else
|
||||
_additional_y_offset = false;
|
||||
{
|
||||
float offset = getParameter<float>(params, "offset", 0, false, 0.5);
|
||||
_offsetsX.assign(1, offset);
|
||||
_offsetsY.assign(1, offset);
|
||||
}
|
||||
}
|
||||
|
||||
bool getMemoryShapes(const std::vector<MatShape> &inputs,
|
||||
@@ -262,7 +282,7 @@ public:
|
||||
CV_TRACE_FUNCTION();
|
||||
CV_TRACE_ARG_VALUE(name, "name", name.c_str());
|
||||
|
||||
size_t real_numPriors = _additional_y_offset ? _numPriors / 2 : _numPriors;
|
||||
size_t real_numPriors = _numPriors / pow(2, _offsetsX.size() - 1);
|
||||
if (_scales.empty())
|
||||
_scales.resize(real_numPriors, 1.0f);
|
||||
else
|
||||
@@ -286,93 +306,64 @@ public:
|
||||
int _outChannelSize = _layerHeight * _layerWidth * _numPriors * 4;
|
||||
|
||||
float* outputPtr = outputs[0].ptr<float>();
|
||||
|
||||
// first prior: aspect_ratio = 1, size = min_size
|
||||
int idx = 0;
|
||||
for (size_t h = 0; h < _layerHeight; ++h)
|
||||
{
|
||||
for (size_t w = 0; w < _layerWidth; ++w)
|
||||
{
|
||||
_boxWidth = _boxHeight = _minSize * _scales[0];
|
||||
|
||||
float center_x = (w + 0.5) * stepX;
|
||||
float center_y = (h + 0.5) * stepY;
|
||||
// xmin
|
||||
outputPtr[idx++] = (center_x - _boxWidth / 2.) / _imageWidth;
|
||||
// ymin
|
||||
outputPtr[idx++] = (center_y - _boxHeight / 2.) / _imageHeight;
|
||||
// xmax
|
||||
outputPtr[idx++] = (center_x + _boxWidth / 2.) / _imageWidth;
|
||||
// ymax
|
||||
outputPtr[idx++] = (center_y + _boxHeight / 2.) / _imageHeight;
|
||||
|
||||
if(_additional_y_offset)
|
||||
// first prior: aspect_ratio = 1, size = min_size
|
||||
if (_explicitSizes)
|
||||
{
|
||||
float center_y_offset_1 = (h + 1.0) * stepY;
|
||||
// xmin
|
||||
outputPtr[idx++] = (center_x - _boxWidth / 2.) / _imageWidth;
|
||||
// ymin
|
||||
outputPtr[idx++] = (center_y_offset_1 - _boxHeight / 2.) / _imageHeight;
|
||||
// xmax
|
||||
outputPtr[idx++] = (center_x + _boxWidth / 2.) / _imageWidth;
|
||||
// ymax
|
||||
outputPtr[idx++] = (center_y_offset_1 + _boxHeight / 2.) / _imageHeight;
|
||||
_boxWidth = _widths[0] * _scales[0];
|
||||
_boxHeight = _heights[0] * _scales[0];
|
||||
}
|
||||
else
|
||||
_boxWidth = _boxHeight = _minSize * _scales[0];
|
||||
|
||||
for (int i = 0; i < _offsetsX.size(); ++i)
|
||||
{
|
||||
float center_x = (w + _offsetsX[i]) * stepX;
|
||||
float center_y = (h + _offsetsY[i]) * stepY;
|
||||
outputPtr = addPrior(center_x, center_y, _boxWidth, _boxHeight, _imageWidth, _imageHeight, outputPtr);
|
||||
}
|
||||
if (_maxSize > 0)
|
||||
{
|
||||
// second prior: aspect_ratio = 1, size = sqrt(min_size * max_size)
|
||||
_boxWidth = _boxHeight = sqrt(_minSize * _maxSize) * _scales[1];
|
||||
// xmin
|
||||
outputPtr[idx++] = (center_x - _boxWidth / 2.) / _imageWidth;
|
||||
// ymin
|
||||
outputPtr[idx++] = (center_y - _boxHeight / 2.) / _imageHeight;
|
||||
// xmax
|
||||
outputPtr[idx++] = (center_x + _boxWidth / 2.) / _imageWidth;
|
||||
// ymax
|
||||
outputPtr[idx++] = (center_y + _boxHeight / 2.) / _imageHeight;
|
||||
|
||||
if(_additional_y_offset)
|
||||
for (int i = 0; i < _offsetsX.size(); ++i)
|
||||
{
|
||||
float center_y_offset_1 = (h + 1.0) * stepY;
|
||||
// xmin
|
||||
outputPtr[idx++] = (center_x - _boxWidth / 2.) / _imageWidth;
|
||||
// ymin
|
||||
outputPtr[idx++] = (center_y_offset_1 - _boxHeight / 2.) / _imageHeight;
|
||||
// xmax
|
||||
outputPtr[idx++] = (center_x + _boxWidth / 2.) / _imageWidth;
|
||||
// ymax
|
||||
outputPtr[idx++] = (center_y_offset_1 + _boxHeight / 2.) / _imageHeight;
|
||||
float center_x = (w + _offsetsX[i]) * stepX;
|
||||
float center_y = (h + _offsetsY[i]) * stepY;
|
||||
outputPtr = addPrior(center_x, center_y, _boxWidth, _boxHeight, _imageWidth, _imageHeight, outputPtr);
|
||||
}
|
||||
}
|
||||
|
||||
// rest of priors
|
||||
CV_Assert((_maxSize > 0 ? 2 : 1) + _aspectRatios.size() == _scales.size());
|
||||
CV_Assert(_aspectRatios.empty() || (_maxSize > 0 ? 2 : 1) + _aspectRatios.size() == _scales.size());
|
||||
for (size_t r = 0; r < _aspectRatios.size(); ++r)
|
||||
{
|
||||
float ar = _aspectRatios[r];
|
||||
float scale = _scales[(_maxSize > 0 ? 2 : 1) + r];
|
||||
_boxWidth = _minSize * sqrt(ar) * scale;
|
||||
_boxHeight = _minSize / sqrt(ar) * scale;
|
||||
// xmin
|
||||
outputPtr[idx++] = (center_x - _boxWidth / 2.) / _imageWidth;
|
||||
// ymin
|
||||
outputPtr[idx++] = (center_y - _boxHeight / 2.) / _imageHeight;
|
||||
// xmax
|
||||
outputPtr[idx++] = (center_x + _boxWidth / 2.) / _imageWidth;
|
||||
// ymax
|
||||
outputPtr[idx++] = (center_y + _boxHeight / 2.) / _imageHeight;
|
||||
if(_additional_y_offset)
|
||||
for (int i = 0; i < _offsetsX.size(); ++i)
|
||||
{
|
||||
float center_y_offset_1 = (h + 1.0) * stepY;
|
||||
// xmin
|
||||
outputPtr[idx++] = (center_x - _boxWidth / 2.) / _imageWidth;
|
||||
// ymin
|
||||
outputPtr[idx++] = (center_y_offset_1 - _boxHeight / 2.) / _imageHeight;
|
||||
// xmax
|
||||
outputPtr[idx++] = (center_x + _boxWidth / 2.) / _imageWidth;
|
||||
// ymax
|
||||
outputPtr[idx++] = (center_y_offset_1 + _boxHeight / 2.) / _imageHeight;
|
||||
float center_x = (w + _offsetsX[i]) * stepX;
|
||||
float center_y = (h + _offsetsY[i]) * stepY;
|
||||
outputPtr = addPrior(center_x, center_y, _boxWidth, _boxHeight, _imageWidth, _imageHeight, outputPtr);
|
||||
}
|
||||
}
|
||||
|
||||
// rest of sizes
|
||||
CV_Assert(_widths.empty() || _widths.size() == _scales.size());
|
||||
for (size_t i = 1; i < _widths.size(); ++i)
|
||||
{
|
||||
_boxWidth = _widths[i] * _scales[i];
|
||||
_boxHeight = _heights[i] * _scales[i];
|
||||
for (int j = 0; j < _offsetsX.size(); ++j)
|
||||
{
|
||||
float center_x = (w + _offsetsX[j]) * stepX;
|
||||
float center_y = (h + _offsetsY[j]) * stepY;
|
||||
outputPtr = addPrior(center_x, center_y, _boxWidth, _boxHeight, _imageWidth, _imageHeight, outputPtr);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -426,6 +417,7 @@ public:
|
||||
return flops;
|
||||
}
|
||||
|
||||
private:
|
||||
float _minSize;
|
||||
float _maxSize;
|
||||
|
||||
@@ -437,15 +429,29 @@ public:
|
||||
std::vector<float> _aspectRatios;
|
||||
std::vector<float> _variance;
|
||||
std::vector<float> _scales;
|
||||
std::vector<float> _widths;
|
||||
std::vector<float> _heights;
|
||||
std::vector<float> _offsetsX;
|
||||
std::vector<float> _offsetsY;
|
||||
|
||||
bool _flip;
|
||||
bool _clip;
|
||||
bool _additional_y_offset;
|
||||
bool _explicitSizes;
|
||||
|
||||
size_t _numPriors;
|
||||
|
||||
static const size_t _numAxes = 4;
|
||||
static const std::string _layerName;
|
||||
|
||||
static float* addPrior(float center_x, float center_y, float width, float height,
|
||||
float imgWidth, float imgHeight, float* dst)
|
||||
{
|
||||
dst[0] = (center_x - width * 0.5f) / imgWidth; // xmin
|
||||
dst[1] = (center_y - height * 0.5f) / imgHeight; // ymin
|
||||
dst[2] = (center_x + width * 0.5f) / imgWidth; // xmax
|
||||
dst[3] = (center_y + height * 0.5f) / imgHeight; // ymax
|
||||
return dst + 4;
|
||||
}
|
||||
};
|
||||
|
||||
const std::string PriorBoxLayerImpl::_layerName = std::string("PriorBox");
|
||||
|
||||
Reference in New Issue
Block a user