File size: 3,286 Bytes
7fc5a59 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | #ifndef OPENPOSE_HAND_HAND_EXTRACTOR_CAFFE_HPP
#define OPENPOSE_HAND_HAND_EXTRACTOR_CAFFE_HPP
#include <openpose/core/common.hpp>
#include <openpose/core/enumClasses.hpp>
#include <openpose/hand/handExtractorNet.hpp>
namespace op
{
/**
* Hand keypoint extractor class for Caffe framework.
*/
class OP_API HandExtractorCaffe : public HandExtractorNet
{
public:
/**
* Constructor of the HandExtractorCaffe class.
* @param netInputSize Size at which the cropped image (where the hand is located) is resized.
* @param netOutputSize Size of the final results. At the moment, it must be equal than netOutputSize.
* @param modelFolder Folder where the models are located.
* @param gpuId The GPU index (0-based) which the deep net will use.
* @param numberScales Number of scales to run. The more scales, the slower it will be but possibly also more
* accurate.
* @param rangeScales The range between the smaller and bigger scale.
*/
HandExtractorCaffe(const Point<int>& netInputSize, const Point<int>& netOutputSize,
const std::string& modelFolder, const int gpuId,
const int numberScales = 1, const float rangeScales = 0.4f,
const std::vector<HeatMapType>& heatMapTypes = {},
const ScaleMode heatMapScaleMode = ScaleMode::ZeroToOneFixedAspect,
const bool enableGoogleLogging = true);
/**
* Virtual destructor of the HandExtractor class.
* Required to allow inheritance.
*/
virtual ~HandExtractorCaffe();
/**
* This function must be call before using any other function. It must also be called inside the thread in
* which the functions are going to be used.
*/
void netInitializationOnThread();
/**
* This function extracts the hand keypoints for each detected hand in the image.
* @param handRectangles location of the hands in the image. It is a length-variable std::vector, where
* each index corresponds to a different person in the image. Internally the std::vector, a std::array of 2
* elements: index 0 and 1 for left and right hand respectively. Inside each array element, a
* op::Rectangle<float> (similar to cv::Rect for floating values) with the position of that hand (or 0,0,0,0 if
* some hand is missing, e.g., if a specific person has only half of the body inside the image).
* @param inputData Original image in Mat format and BGR format.
*/
void forwardPass(const std::vector<std::array<Rectangle<float>, 2>> handRectangles, const Matrix& inputData);
private:
// PIMPL idiom
// http://www.cppsamples.com/common-tasks/pimpl.html
struct ImplHandExtractorCaffe;
std::unique_ptr<ImplHandExtractorCaffe> upImpl;
Array<float> getHeatMapsFromLastPass() const;
// PIMP requires DELETE_COPY & destructor, or extra code
// http://oliora.github.io/2015/12/29/pimpl-and-rule-of-zero.html
DELETE_COPY(HandExtractorCaffe);
};
}
#endif // OPENPOSE_HAND_HAND_EXTRACTOR_CAFFE_HPP
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