59 lines
2.0 KiB
C
59 lines
2.0 KiB
C
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#ifndef _OPENCV3_DNN_H_
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#define _OPENCV3_DNN_H_
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#include <stdbool.h>
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#ifdef __cplusplus
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#include <opencv2/opencv.hpp>
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#include <opencv2/dnn.hpp>
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extern "C" {
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#endif
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#include "core.h"
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#ifdef __cplusplus
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typedef cv::dnn::Net* Net;
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typedef cv::Ptr<cv::dnn::Layer>* Layer;
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#else
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typedef void* Net;
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typedef void* Layer;
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#endif
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Net Net_ReadNet(const char* model, const char* config);
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Net Net_ReadNetBytes(const char* framework, struct ByteArray model, struct ByteArray config);
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Net Net_ReadNetFromCaffe(const char* prototxt, const char* caffeModel);
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Net Net_ReadNetFromCaffeBytes(struct ByteArray prototxt, struct ByteArray caffeModel);
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Net Net_ReadNetFromTensorflow(const char* model);
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Net Net_ReadNetFromTensorflowBytes(struct ByteArray model);
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Mat Net_BlobFromImage(Mat image, double scalefactor, Size size, Scalar mean, bool swapRB,
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bool crop);
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void Net_BlobFromImages(struct Mats images, Mat blob, double scalefactor, Size size,
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Scalar mean, bool swapRB, bool crop, int ddepth);
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void Net_ImagesFromBlob(Mat blob_, struct Mats* images_);
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void Net_Close(Net net);
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bool Net_Empty(Net net);
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void Net_SetInput(Net net, Mat blob, const char* name);
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Mat Net_Forward(Net net, const char* outputName);
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void Net_ForwardLayers(Net net, struct Mats* outputBlobs, struct CStrings outBlobNames);
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void Net_SetPreferableBackend(Net net, int backend);
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void Net_SetPreferableTarget(Net net, int target);
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int64_t Net_GetPerfProfile(Net net);
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void Net_GetUnconnectedOutLayers(Net net, IntVector* res);
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void Net_GetLayerNames(Net net, CStrings* names);
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Mat Net_GetBlobChannel(Mat blob, int imgidx, int chnidx);
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Scalar Net_GetBlobSize(Mat blob);
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Layer Net_GetLayer(Net net, int layerid);
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void Layer_Close(Layer layer);
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int Layer_InputNameToIndex(Layer layer, const char* name);
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int Layer_OutputNameToIndex(Layer layer, const char* name);
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const char* Layer_GetName(Layer layer);
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const char* Layer_GetType(Layer layer);
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#ifdef __cplusplus
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}
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#endif
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#endif //_OPENCV3_DNN_H_
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