-
Notifications
You must be signed in to change notification settings - Fork 868
/
dnn.h
72 lines (62 loc) · 3.21 KB
/
dnn.h
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
72
#ifndef _OPENCV3_DNN_H_
#define _OPENCV3_DNN_H_
#include <stdbool.h>
#ifdef __cplusplus
#include <opencv2/opencv.hpp>
#include <opencv2/dnn.hpp>
extern "C" {
#endif
#include "core.h"
#ifdef __cplusplus
typedef cv::dnn::Net* Net;
typedef cv::Ptr<cv::dnn::Layer>* Layer;
#else
typedef void* Net;
typedef void* Layer;
#endif
Net Net_ReadNet(const char* model, const char* config);
Net Net_ReadNetBytes(const char* framework, struct ByteArray model, struct ByteArray config);
Net Net_ReadNetFromCaffe(const char* prototxt, const char* caffeModel);
Net Net_ReadNetFromCaffeBytes(struct ByteArray prototxt, struct ByteArray caffeModel);
Net Net_ReadNetFromTensorflow(const char* model);
Net Net_ReadNetFromTensorflowBytes(struct ByteArray model);
Net Net_ReadNetFromTorch(const char* model);
Net Net_ReadNetFromONNX(const char* model);
Net Net_ReadNetFromONNXBytes(struct ByteArray model);
struct Rect Net_BlobRectToImageRect(struct Rect rect, Size originalSize, double scalefactor, Size size, Scalar mean, bool swapRB,
int ddepth, int dataLayout, int paddingMode, Scalar borderValue);
struct Rects Net_BlobRectsToImageRects(struct Rects rects, Size originalSize, double scalefactor, Size size, Scalar mean, bool swapRB,
int ddepth, int dataLayout, int paddingMode, Scalar borderValue);
Mat Net_BlobFromImage(Mat image, double scalefactor, Size size, Scalar mean, bool swapRB,
bool crop);
Mat Net_BlobFromImageWithParams(Mat image, double scalefactor, Size size, Scalar mean, bool swapRB,
int ddepth, int dataLayout, int paddingMode, Scalar borderValue);
void Net_BlobFromImages(struct Mats images, Mat blob, double scalefactor, Size size,
Scalar mean, bool swapRB, bool crop, int ddepth);
void Net_BlobFromImagesWithParams(struct Mats images, Mat blob, double scalefactor, Size size,
Scalar mean, bool swapRB, int ddepth, int dataLayout, int paddingMode, Scalar borderValue);
void Net_ImagesFromBlob(Mat blob_, struct Mats* images_);
void Net_Close(Net net);
bool Net_Empty(Net net);
void Net_SetInput(Net net, Mat blob, const char* name);
Mat Net_Forward(Net net, const char* outputName);
void Net_ForwardLayers(Net net, struct Mats* outputBlobs, struct CStrings outBlobNames);
void Net_SetPreferableBackend(Net net, int backend);
void Net_SetPreferableTarget(Net net, int target);
int64_t Net_GetPerfProfile(Net net);
void Net_GetUnconnectedOutLayers(Net net, IntVector* res);
void Net_GetLayerNames(Net net, CStrings* names);
Mat Net_GetBlobChannel(Mat blob, int imgidx, int chnidx);
Scalar Net_GetBlobSize(Mat blob);
Layer Net_GetLayer(Net net, int layerid);
void Layer_Close(Layer layer);
int Layer_InputNameToIndex(Layer layer, const char* name);
int Layer_OutputNameToIndex(Layer layer, const char* name);
const char* Layer_GetName(Layer layer);
const char* Layer_GetType(Layer layer);
void NMSBoxes(struct Rects bboxes, FloatVector scores, float score_threshold, float nms_threshold, IntVector* indices);
void NMSBoxesWithParams(struct Rects bboxes, FloatVector scores, const float score_threshold, const float nms_threshold, IntVector* indices, const float eta, const int top_k);
#ifdef __cplusplus
}
#endif
#endif //_OPENCV3_DNN_H_