NVIDIA DeepStream SDK API Reference

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nvdsinfer_context.h
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1 
83 #ifndef __NVDSINFER_CONTEXT_H__
84 #define __NVDSINFER_CONTEXT_H__
85 
86 #include "nvdsinfer.h"
87 
96 #define _PATH_MAX 4096
97 
100 #define _MAX_CHANNELS 4
101 
103 #define _MAX_STR_LENGTH 1024
104 
106 #define NVDSINFER_MAX_BATCH_SIZE 1024
107 
110 #define NVDSINFER_MIN_OUTPUT_BUFFERPOOL_SIZE 2
111 
115 typedef enum
116 {
121 
125 typedef enum
126 {
146 
150 typedef enum
151 {
166 
170 typedef enum {
174  NvDsInferUffOrder_kNCHW _DS_DEPRECATED_("Use NvDsInferTensorOrder_kNCHW instead") = NvDsInferTensorOrder_kNCHW,
175  NvDsInferUffOrder_kNHWC _DS_DEPRECATED_("Use NvDsInferTensorOrder_kNCWH instead") = NvDsInferTensorOrder_kNHWC,
176  NvDsInferUffOrder_kNC _DS_DEPRECATED_("Use NvDsInferTensorOrder_kNC instead") = NvDsInferTensorOrder_kNC
178 
179 #define NvDsInferUffOrder _Pragma \
180  ("GCC warning \"'NvDsInferUffOrder' macro is deprecated. Use NvDsInferTensorOrder instead.\"") \
181  NvDsInferTensorOrder
182 
186 typedef struct
187 {
190  union {
191  float threshold _DS_DEPRECATED_("Use preclusterThreshold instead.");
193  };
194 
198 
201  float eps;
204  int minBoxes;
211  float minScore;
216  int topK;
218 
222 typedef enum
223 {
234 {
237  unsigned int uniqueID;
238 
241 
252 
256 
257  union {
262  } _DS_DEPRECATED_("Use inferInputDims instead.");
263 
268 
271 
274 
279 
283  unsigned int maxBatchSize;
284 
289 
293 
296 
299 
304  unsigned int numOffsets;
305 
308 
311  _DS_DEPRECATED_("Use NvDsInferClusterMode instead")
313 
315  unsigned int numDetectedClasses;
316 
320 
324 
326 
330  unsigned int numOutputLayers;
331 
332 
342 
346 
348  unsigned int gpuID;
349 
351  int useDLA;
353  int dlaCore;
354 
357  unsigned int outputBufferPoolSize;
358 
363 
366 
371 
375  unsigned int workspaceSize;
376 
379 
382 
386 
392  unsigned int numOutputIOFormats;
393 
400 
403 
409 
415 
420 
423  double maxGPUMemPer;
424 
447 
449 
457 typedef void (* NvDsInferContextReturnInputAsyncFunc) (void *data);
458 
462 typedef struct
463 {
466  void** inputFrames;
468  unsigned int numInputFrames;
472  unsigned int inputPitch;
479 
480 typedef struct
481 {
484  unsigned int numInputTensors;
491 
495 typedef struct
496 {
498  float left;
500  float top;
502  float width;
504  float height;
506  int classIndex;
508  char *label;
509  /* confidence score of the detected object. */
510  float confidence;
511  /* Instance mask information for the object. */
512  float *mask;
514  unsigned int mask_width;
516  unsigned int mask_height;
518  unsigned int mask_size;
520 
525 typedef struct
526 {
528  NvDsInferObject *objects;
530  unsigned int numObjects;
532 
537 typedef struct
538 {
544  unsigned int numAttributes;
547  char *label;
549 
553 typedef struct
554 {
556  unsigned int width;
558  unsigned int height;
560  unsigned int classes;
563  int *class_map;
567  float *class_probability_map;
569 
573 typedef struct
574 {
581  union
582  {
592  };
594 
599 typedef struct
600 {
604  unsigned int numFrames;
605 
611 
614  void **hostBuffers;
616  unsigned int numHostBuffers;
617 
619  void* priv;
621 
623 typedef struct INvDsInferContext * NvDsInferContextHandle;
624 
642  unsigned int uniqueID, NvDsInferLogLevel logLevel, const char* logMessage,
643  void* userCtx);
644 
645 #ifdef __cplusplus
646 extern "C" {
647 #endif
648 
655 
664 _DS_DEPRECATED_("NvDsInferContext_GetStatusName is deprecated. Use NvDsInferStatus2Str instead")
665 const char * NvDsInferContext_GetStatusName (NvDsInferStatus status);
666 
667 
668 #ifdef __cplusplus
669 }
670 #endif
671 
679 #ifdef __cplusplus
680 
681 #include <string>
682 #include <vector>
683 
687 struct INvDsInferContext
688 {
689 public:
706  virtual NvDsInferStatus queueInputBatch(NvDsInferContextBatchInput &batchInput) = 0;
707 
719  virtual NvDsInferStatus dequeueOutputBatch(NvDsInferContextBatchOutput &batchOutput) = 0;
720 
728  virtual void releaseBatchOutput(NvDsInferContextBatchOutput &batchOutput) = 0;
729 
737  virtual void fillLayersInfo(std::vector<NvDsInferLayerInfo> &layersInfo) = 0;
738 
744  virtual void getNetworkInfo(NvDsInferNetworkInfo &networkInfo) = 0;
745 
754  virtual const std::vector< std::vector<std::string> >& getLabels() = 0;
755 
759  virtual void destroy() = 0;
760 
762  virtual ~INvDsInferContext() {}
763 
773  virtual NvDsInferStatus queueInputBatchPreprocessed(NvDsInferContextBatchPreprocessedInput &batchInput) = 0;
774 };
775 
789 NvDsInferStatus createNvDsInferContext(NvDsInferContextHandle *handle,
790  NvDsInferContextInitParams &initParams,
791  void *userCtx = nullptr,
792  NvDsInferContextLoggingFunc logFunc = nullptr);
793 
794 #endif
795 
804 #ifdef __cplusplus
805 extern "C" {
806 #endif
807 
808 
823  NvDsInferContextInitParams *initParams, void *userCtx,
825 
833 
845  NvDsInferContextBatchInput *batchInput);
846 
859  NvDsInferContextBatchOutput *batchOutput);
860 
871  NvDsInferContextBatchOutput *batchOutput);
872 
880  NvDsInferNetworkInfo *networkInfo);
881 
890 
902  NvDsInferLayerInfo *layersInfo);
903 
915  unsigned int id, unsigned int value);
916 
917 #ifdef __cplusplus
918 }
919 #endif
920 
923 #endif
924 
_NvDsInferContextInitParams::inputFromPreprocessedTensor
int inputFromPreprocessedTensor
Boolean flag indicating that caller will supply preprocessed tensors for inferencing.
Definition: nvdsinfer_context.h:408
NvDsInferContext_GetLabel
const char * NvDsInferContext_GetLabel(NvDsInferContextHandle handle, unsigned int id, unsigned int value)
Gets the string label associated with the class ID for detectors and the attribute ID and attribute v...
NvDsInferFrameOutput::classificationOutput
NvDsInferClassificationOutput classificationOutput
Holds classifier output.
Definition: nvdsinfer_context.h:588
NvDsInferContext_Create
NvDsInferStatus NvDsInferContext_Create(NvDsInferContextHandle *handle, NvDsInferContextInitParams *initParams, void *userCtx, NvDsInferContextLoggingFunc logFunc)
Creates a new NvDsInferContext object with specified initialization parameters.
_NvDsInferContextInitParams::customClassifierParseFuncName
char customClassifierParseFuncName[_MAX_STR_LENGTH]
Name of the custom classifier attribute parsing function in the custom library.
Definition: nvdsinfer_context.h:341
NvDsInferObject::mask_width
unsigned int mask_width
Holds width of mask.
Definition: nvdsinfer_context.h:514
_NvDsInferContextInitParams::workspaceSize
unsigned int workspaceSize
Max workspace size (unit MB) that will be used as tensorrt build settings for cuda engine.
Definition: nvdsinfer_context.h:375
NvDsInferTensorOrder
NvDsInferTensorOrder
Defines UFF input layer orders.
Definition: nvdsinfer_context.h:170
_NvDsInferContextInitParams::customBBoxInstanceMaskParseFuncName
char customBBoxInstanceMaskParseFuncName[_MAX_STR_LENGTH]
Holds the name of the bounding box and instance mask parse function in the custom library.
Definition: nvdsinfer_context.h:385
_NvDsInferContextInitParams::uffInputOrder
NvDsInferTensorOrder uffInputOrder
Holds the original input order for the UFF model.
Definition: nvdsinfer_context.h:265
NvDsInferNetworkType_Classifier
@ NvDsInferNetworkType_Classifier
Specifies a classifier.
Definition: nvdsinfer_context.h:132
_NvDsInferContextInitParams::perClassDetectionParams
NvDsInferDetectionParams * perClassDetectionParams
Holds per-class detection parameters.
Definition: nvdsinfer_context.h:319
NvDsInferContext_GetNumLayersInfo
unsigned int NvDsInferContext_GetNumLayersInfo(NvDsInferContextHandle handle)
Gets the number of the bound layers of the inference engine in an NvDsInferContext instance.
NvDsInferNetworkMode_INT8
@ NvDsInferNetworkMode_INT8
Definition: nvdsinfer_context.h:118
_NvDsInferContextInitParams::dumpIpTensor
int dumpIpTensor
Boolean flag indicating whether or not to dump raw input tensor data.
Definition: nvdsinfer_context.h:427
NvDsInferFormat
NvDsInferFormat
Defines color formats.
Definition: nvdsinfer_context.h:150
_NvDsInferContextInitParams::protoFilePath
char protoFilePath[_PATH_MAX]
Holds the pathname of the prototxt file.
Definition: nvdsinfer_context.h:243
_NvDsInferContextInitParams::netInputOrder
NvDsInferTensorOrder netInputOrder
Holds the original input order for the network.
Definition: nvdsinfer_context.h:270
_NvDsInferContextInitParams::maxGPUMemPer
double maxGPUMemPer
Max gpu memory that can be occupied while expanding the bufferpool.
Definition: nvdsinfer_context.h:423
_NvDsInferContextInitParams::maxBatchSize
unsigned int maxBatchSize
Holds the maximum number of frames to be inferred together in a batch.
Definition: nvdsinfer_context.h:283
NVDSINFER_CLUSTER_GROUP_RECTANGLES
@ NVDSINFER_CLUSTER_GROUP_RECTANGLES
Definition: nvdsinfer_context.h:224
_NvDsInferContextInitParams::customEngineCreateFuncName
char customEngineCreateFuncName[_MAX_STR_LENGTH]
Name of the custom engine creation function in the custom library.
Definition: nvdsinfer_context.h:365
_NvDsInferContextInitParams::layerDevicePrecisions
char ** layerDevicePrecisions
Can be used to specify the device type and inference precision of layers.
Definition: nvdsinfer_context.h:397
NvDsInferUffOrder_kNHWC
@ NvDsInferUffOrder_kNHWC
Definition: nvdsinfer_context.h:175
_NvDsInferContextInitParams::copyInputToHostBuffers
int copyInputToHostBuffers
Holds a Boolean; true if the input layer contents are to be copied to host memory for access by the a...
Definition: nvdsinfer_context.h:345
NvDsInferDetectionParams::preClusterThreshold
float preClusterThreshold
Definition: nvdsinfer_context.h:192
NvDsInferNetworkMode_FP16
@ NvDsInferNetworkMode_FP16
Definition: nvdsinfer_context.h:119
NVDSINFER_CLUSTER_DBSCAN
@ NVDSINFER_CLUSTER_DBSCAN
Definition: nvdsinfer_context.h:225
_NvDsInferContextInitParams::networkType
NvDsInferNetworkType networkType
Holds the network type.
Definition: nvdsinfer_context.h:307
_NvDsInferContextInitParams::uffDimsCHW
NvDsInferDimsCHW uffDimsCHW
Holds the input dimensions for the UFF model.
Definition: nvdsinfer_context.h:261
NVDSINFER_CLUSTER_NONE
@ NVDSINFER_CLUSTER_NONE
Definition: nvdsinfer_context.h:228
_NvDsInferContextInitParams::int8CalibrationFilePath
char int8CalibrationFilePath[_PATH_MAX]
Holds the pathname of the INT8 calibration file.
Definition: nvdsinfer_context.h:255
NvDsInferUffOrder_kNC
@ NvDsInferUffOrder_kNC
Definition: nvdsinfer_context.h:176
_NvDsInferContextInitParams::overwriteOpTensor
int overwriteOpTensor
Boolean flag indicating whether or not to overwrite raw ouput tensor data provided by the user into t...
Definition: nvdsinfer_context.h:442
NvDsInferContextBatchPreprocessedInput::returnInputFunc
NvDsInferContextReturnInputAsyncFunc returnInputFunc
Holds a callback for returning the input buffers to the client.
Definition: nvdsinfer_context.h:486
_NvDsInferContextInitParams::gpuID
unsigned int gpuID
Holds the ID of the GPU which is to run the inference.
Definition: nvdsinfer_context.h:348
NvDsInferContextBatchOutput::hostBuffers
void ** hostBuffers
Holds a pointer to an array of pointers to host buffers for this batch.
Definition: nvdsinfer_context.h:614
NvDsInferSegmentationOutput
Holds the information parsed from segmentation network output for one frame.
Definition: infer_post_datatypes.h:80
NvDsInferContextBatchInput::returnInputFunc
NvDsInferContextReturnInputAsyncFunc returnInputFunc
Holds a callback for returning the input buffers to the client.
Definition: nvdsinfer_context.h:474
NvDsInferObject::mask_size
unsigned int mask_size
Holds size of mask in bytes.
Definition: nvdsinfer_context.h:518
_NvDsInferContextInitParams::numDetectedClasses
unsigned int numDetectedClasses
Holds the number of classes detected by a detector network.
Definition: nvdsinfer_context.h:315
_NvDsInferContextInitParams::disableOutputHostCopy
int disableOutputHostCopy
Boolean flag indicating that whether we will post processing on GPU if this flag enabled,...
Definition: nvdsinfer_context.h:414
NvDsInferContextBatchPreprocessedInput::numInputTensors
unsigned int numInputTensors
Holds the number of input tensors.
Definition: nvdsinfer_context.h:484
NvDsInferContext_ReleaseBatchOutput
void NvDsInferContext_ReleaseBatchOutput(NvDsInferContextHandle handle, NvDsInferContextBatchOutput *batchOutput)
Frees the memory associated with the batch output and releases the set of host buffers back to the co...
NvDsInferContextBatchOutput::frames
NvDsInferFrameOutput * frames
Holds a pointer to an array of outputs for each frame in the batch.
Definition: nvdsinfer_context.h:602
_NvDsInferContextInitParams::outputBufferPoolSize
unsigned int outputBufferPoolSize
Holds the number of sets of output buffers (host and device) to be allocated.
Definition: nvdsinfer_context.h:357
_NvDsInferContextInitParams::meanImageFilePath
char meanImageFilePath[_PATH_MAX]
Holds the pathname of the mean image file (PPM format).
Definition: nvdsinfer_context.h:292
_NvDsInferContextInitParams::dlaCore
int dlaCore
Holds the ID of the DLA core to use.
Definition: nvdsinfer_context.h:353
_NvDsInferContextInitParams::uniqueID
unsigned int uniqueID
Holds a unique identifier for the instance.
Definition: nvdsinfer_context.h:237
NvDsInferLogLevel
NvDsInferLogLevel
Enum for the log levels of NvDsInferContext.
Definition: nvdsinfer.h:249
_NvDsInferContextInitParams::useDBScan
Use NvDsInferClusterMode instead int useDBScan
Holds a Boolean; true if DBScan is to be used for object clustering, or false if OpenCV groupRectangl...
Definition: nvdsinfer_context.h:312
NvDsInferContextBatchOutput::outputDeviceBuffers
void ** outputDeviceBuffers
Holds a pointer to an array of pointers to output device buffers for this batch.
Definition: nvdsinfer_context.h:608
NvDsInferContextBatchInput::numInputFrames
unsigned int numInputFrames
Holds the number of input frames, i.e.
Definition: nvdsinfer_context.h:468
_NvDsInferContextInitParams::networkInputFormat
NvDsInferFormat networkInputFormat
Holds the network input format.
Definition: nvdsinfer_context.h:298
NVDSINFER_CLUSTER_DBSCAN_NMS_HYBRID
@ NVDSINFER_CLUSTER_DBSCAN_NMS_HYBRID
Definition: nvdsinfer_context.h:227
NvDsInferContextBatchOutput::numFrames
unsigned int numFrames
Holds the number of elements in frames.
Definition: nvdsinfer_context.h:604
_NvDsInferContextInitParams::offsets
float offsets[_MAX_CHANNELS]
Holds the per-channel offsets for mean subtraction.
Definition: nvdsinfer_context.h:303
_MAX_STR_LENGTH
#define _MAX_STR_LENGTH
Defines the maximum length of string parameters.
Definition: nvdsinfer_context.h:103
NvDsInferClassificationOutput
Holds information on all attributes classifed by a classifier network for one frame.
Definition: nvdsinfer_context.h:537
_NvDsInferContextInitParams::segmentationThreshold
float segmentationThreshold
Definition: nvdsinfer_context.h:325
_NvDsInferContextInitParams::tltEncodedModelFilePath
char tltEncodedModelFilePath[_PATH_MAX]
Holds the pathname of the TLT encoded model file.
Definition: nvdsinfer_context.h:251
NvDsInferNetworkType_Detector
@ NvDsInferNetworkType_Detector
Specifies a detector.
Definition: nvdsinfer_context.h:129
_NvDsInferContextInitParams::outputLayerNames
char ** outputLayerNames
Holds a pointer to an array of pointers to output layer names.
Definition: nvdsinfer_context.h:328
NvDsInferNetworkMode
NvDsInferNetworkMode
Defines internal data formats used by the inference engine.
Definition: nvdsinfer_context.h:115
NvDsInferContextBatchInput
Holds information about one batch to be inferred.
Definition: nvdsinfer_context.h:462
NVDSINFER_CLUSTER_NMS
@ NVDSINFER_CLUSTER_NMS
Definition: nvdsinfer_context.h:226
NvDsInferDetectionParams::minBoxes
int minBoxes
Holds the minimum number of boxes in a cluster to be considered an object during grouping using DBSCA...
Definition: nvdsinfer_context.h:204
NvDsInferContextReturnInputAsyncFunc
void(* NvDsInferContextReturnInputAsyncFunc)(void *data)
Defines a callback function type for asynchronously returning the input client buffers to the NvDsInf...
Definition: nvdsinfer_context.h:457
NvDsInferContextBatchPreprocessedInput::tensors
NvDsInferLayerInfo * tensors
Definition: nvdsinfer_context.h:482
_NvDsInferContextInitParams::ipTensorFilePath
char ipTensorFilePath[_PATH_MAX]
Path to the raw input tensor data that is going to be used to overwrite the buffer.
Definition: nvdsinfer_context.h:438
NvDsInferFormat_RGB
@ NvDsInferFormat_RGB
Specifies 24-bit interleaved R-G-B format.
Definition: nvdsinfer_context.h:153
_NvDsInferContextInitParams::dumpOpTensor
int dumpOpTensor
Boolean flag indicating whether or not to dump raw input tensor data.
Definition: nvdsinfer_context.h:430
NvDsInferClusterMode
NvDsInferClusterMode
Enum for clustering mode for detectors.
Definition: nvdsinfer_context.h:222
NvDsInferTensorOrder_kNC
@ NvDsInferTensorOrder_kNC
Definition: nvdsinfer_context.h:173
NvDsInferNetworkMode_FP32
@ NvDsInferNetworkMode_FP32
Definition: nvdsinfer_context.h:117
_NvDsInferContextInitParams::onnxFilePath
char onnxFilePath[_PATH_MAX]
Holds the pathname of the ONNX model file.
Definition: nvdsinfer_context.h:249
NvDsInferDetectionOutput
Holds the information on all objects detected by a detector network in one frame.
Definition: infer_post_datatypes.h:48
_NvDsInferContextInitParams::numOutputLayers
unsigned int numOutputLayers
Holds the number of output layer names.
Definition: nvdsinfer_context.h:330
NvDsInferFrameOutput::segmentationOutput
NvDsInferSegmentationOutput segmentationOutput
Holds classifier output.
Definition: nvdsinfer_context.h:591
_NvDsInferContextInitParams::customNetworkConfigFilePath
char customNetworkConfigFilePath[_PATH_MAX]
Holds the pathname of the configuration file for custom network creation.
Definition: nvdsinfer_context.h:362
NvDsInferNetworkInfo
Holds information about the model network.
Definition: nvdsinfer.h:110
NvDsInferClassificationOutput::numAttributes
unsigned int numAttributes
Holds the size of the attributes array.
Definition: nvdsinfer_context.h:544
_NvDsInferContextInitParams::labelsFilePath
char labelsFilePath[_PATH_MAX]
Holds the pathname of the labels file containing strings for the class labels.
Definition: nvdsinfer_context.h:288
_NvDsInferContextInitParams::classifierThreshold
float classifierThreshold
Holds the minimum confidence threshold for the classifier to consider a label valid.
Definition: nvdsinfer_context.h:323
NvDsInferLayerInfo
Holds information about one layer in the model.
Definition: nvdsinfer.h:87
NvDsInferTensorOrder_kNHWC
@ NvDsInferTensorOrder_kNHWC
Definition: nvdsinfer_context.h:172
NvDsInferDetectionParams::postClusterThreshold
float postClusterThreshold
Hold the bounding box detection threshold to be applied post clustering operation.
Definition: nvdsinfer_context.h:197
NvDsInferObject::mask_height
unsigned int mask_height
Holds height of mask.
Definition: nvdsinfer_context.h:516
NvDsInferContextHandle
struct INvDsInferContext * NvDsInferContextHandle
An opaque pointer type to be used as a handle for a context instance.
Definition: nvdsinfer_context.h:623
_PATH_MAX
#define _PATH_MAX
Maximum length of a file path parameter.
Definition: nvdsinfer_context.h:96
_NvDsInferContextInitParams::forceImplicitBatchDimension
int forceImplicitBatchDimension
For model parsers supporting both implicit batch dim and full dims, prefer to use implicit batch dim.
Definition: nvdsinfer_context.h:370
NvDsInferContextBatchInput::inputFormat
NvDsInferFormat inputFormat
Holds the format of the frame contents.
Definition: nvdsinfer_context.h:470
NvDsInferFormat_GRAY
@ NvDsInferFormat_GRAY
Specifies 8-bit Luma format.
Definition: nvdsinfer_context.h:157
NvDsInferDetectionParams::minScore
float minScore
Minimum score in a cluster for the cluster to be considered an object during grouping.
Definition: nvdsinfer_context.h:211
_NvDsInferContextInitParams::numOutputIOFormats
unsigned int numOutputIOFormats
Holds number of output IO formats specified.
Definition: nvdsinfer_context.h:392
NvDsInferContext_GetStatusName
NvDsInferContext_GetStatusName is deprecated Use NvDsInferStatus2Str const instead char * NvDsInferContext_GetStatusName(NvDsInferStatus status)
Gets the string name of the status.
_NvDsInferContextInitParams::numLayerDevicePrecisions
unsigned int numLayerDevicePrecisions
Holds number of layer device precisions specified.
Definition: nvdsinfer_context.h:399
NvDsInferContext_ResetInitParams
void NvDsInferContext_ResetInitParams(NvDsInferContextInitParams *initParams)
Resets a context parameter structure to default values.
_NvDsInferContextInitParams::opTensorFilePath
char ** opTensorFilePath
List of paths to the raw output tensor data that are going to be used to overwrite the different outp...
Definition: nvdsinfer_context.h:446
NvDsInferTensorOrder_kNCHW
@ NvDsInferTensorOrder_kNCHW
Definition: nvdsinfer_context.h:171
_NvDsInferContextInitParams::customBBoxParseFuncName
char customBBoxParseFuncName[_MAX_STR_LENGTH]
Holds the name of the custom bounding box function in the custom library.
Definition: nvdsinfer_context.h:338
_NvDsInferContextInitParams::autoIncMem
int autoIncMem
Boolean flag indicating that whether we will automatically increase bufferpool size when facing a bot...
Definition: nvdsinfer_context.h:419
NvDsInferDimsCHW
Holds the dimensions of a three-dimensional layer.
Definition: nvdsinfer.h:59
NvDsInferFormat_RGBA
@ NvDsInferFormat_RGBA
Specifies 32-bit interleaved R-G-B-A format.
Definition: nvdsinfer_context.h:159
NvDsInferContextBatchInput::inputPitch
unsigned int inputPitch
Holds the pitch of the input frames, in bytes.
Definition: nvdsinfer_context.h:472
_MAX_CHANNELS
#define _MAX_CHANNELS
Defines the maximum number of channels supported by the API for image input layers.
Definition: nvdsinfer_context.h:100
_NvDsInferContextInitParams::overwriteIpTensor
int overwriteIpTensor
Boolean flag indicating whether or not to overwrite raw input tensor data provided by the user into t...
Definition: nvdsinfer_context.h:434
NvDsInferContext_DequeueOutputBatch
NvDsInferStatus NvDsInferContext_DequeueOutputBatch(NvDsInferContextHandle handle, NvDsInferContextBatchOutput *batchOutput)
Dequeues output for a batch of frames.
_NvDsInferContextInitParams::customLibPath
char customLibPath[_PATH_MAX]
Holds the pathname of the library containing custom methods required to support the network.
Definition: nvdsinfer_context.h:335
NvDsInferContext_Destroy
void NvDsInferContext_Destroy(NvDsInferContextHandle handle)
Destroys an NvDsInferContext instance and releases its resources.
NvDsInferContext_QueueInputBatch
NvDsInferStatus NvDsInferContext_QueueInputBatch(NvDsInferContextHandle handle, NvDsInferContextBatchInput *batchInput)
Queues a batch of input frames for preprocessing and inferencing.
_NvDsInferContextInitParams::segmentationOutputOrder
NvDsInferTensorOrder segmentationOutputOrder
Holds output order for segmentation network.
Definition: nvdsinfer_context.h:402
NvDsInferNetworkType_InstanceSegmentation
@ NvDsInferNetworkType_InstanceSegmentation
Specifies a instance segmentation network.
Definition: nvdsinfer_context.h:139
_NvDsInferContextInitParams
Holds the initialization parameters required for the NvDsInferContext interface.
Definition: nvdsinfer_context.h:233
NvDsInferContextBatchOutput::numOutputDeviceBuffers
unsigned int numOutputDeviceBuffers
Holds the number of elements in *outputDeviceBuffers.
Definition: nvdsinfer_context.h:610
NvDsInferFormat_Unknown
@ NvDsInferFormat_Unknown
Definition: nvdsinfer_context.h:164
NvDsInferFrameOutput::outputType
NvDsInferNetworkType outputType
Holds an output type indicating the valid member in the union of detectionOutput, classificationOutpu...
Definition: nvdsinfer_context.h:578
NvDsInferUffOrder_kNCHW
@ NvDsInferUffOrder_kNCHW
Definition: nvdsinfer_context.h:174
nvdsinfer.h
NvDsInferObject::mask
float * mask
Definition: nvdsinfer_context.h:512
NvDsInferContext_GetNetworkInfo
void NvDsInferContext_GetNetworkInfo(NvDsInferContextHandle handle, NvDsInferNetworkInfo *networkInfo)
Gets network input information.
NvDsInferDetectionParams::nmsIOUThreshold
float nmsIOUThreshold
IOU threshold to be used with NMS mode of clustering.
Definition: nvdsinfer_context.h:213
NvDsInferContextBatchOutput::priv
void * priv
Holds a private context pointer for the set of output buffers.
Definition: nvdsinfer_context.h:619
_NvDsInferContextInitParams::networkScaleFactor
float networkScaleFactor
Holds the normalization factor with which to scale the input pixels.
Definition: nvdsinfer_context.h:295
_NvDsInferContextInitParams::useDLA
int useDLA
Holds a Boolean; true if DLA is to be used.
Definition: nvdsinfer_context.h:351
NvDsInferFormat_Tensor
@ NvDsInferFormat_Tensor
NCHW planar.
Definition: nvdsinfer_context.h:163
_NvDsInferContextInitParams::tltModelKey
char tltModelKey[_MAX_STR_LENGTH]
Holds the string key for decoding the TLT encoded model.
Definition: nvdsinfer_context.h:273
NvDsInferContextLoggingFunc
void(* NvDsInferContextLoggingFunc)(NvDsInferContextHandle handle, unsigned int uniqueID, NvDsInferLogLevel logLevel, const char *logMessage, void *userCtx)
Type declaration for a logging callback.
Definition: nvdsinfer_context.h:641
_DS_DEPRECATED_
#define _DS_DEPRECATED_(STR)
Definition: nvdsinfer.h:41
NvDsInferNetworkType_Segmentation
@ NvDsInferNetworkType_Segmentation
Specifies a segmentation network.
Definition: nvdsinfer_context.h:135
NvDsInferContextBatchInput::returnFuncData
void * returnFuncData
A pointer to the data to be supplied with the callback in returnInputFunc.
Definition: nvdsinfer_context.h:477
NvDsInferClassificationOutput::attributes
NvDsInferAttribute * attributes
Holds a pointer to an array of attributes.
Definition: nvdsinfer_context.h:542
_NvDsInferContextInitParams::modelFilePath
char modelFilePath[_PATH_MAX]
Holds the pathname of the caffemodel file.
Definition: nvdsinfer_context.h:245
NvDsInferContext_FillLayersInfo
void NvDsInferContext_FillLayersInfo(NvDsInferContextHandle handle, NvDsInferLayerInfo *layersInfo)
Fills an input vector with information about all of the bound layers of the inference engine in an Nv...
NvDsInferDetectionParams
Holds detection and bounding box grouping parameters.
Definition: nvdsinfer_context.h:186
NvDsInferFrameOutput
Holds the information inferred by the network on one frame.
Definition: nvdsinfer_context.h:573
NvDsInferDetectionParams::groupThreshold
int groupThreshold
Holds the minimum number boxes in a cluster to be considered an object during grouping using OpenCV g...
Definition: nvdsinfer_context.h:207
_NvDsInferContextInitParams::outputIOFormats
char ** outputIOFormats
Can be used to specify the format and datatype for bound output layers.
Definition: nvdsinfer_context.h:390
NvDsInferNetworkType
NvDsInferNetworkType
Defines network types.
Definition: nvdsinfer_context.h:125
NvDsInferFormat_BGR
@ NvDsInferFormat_BGR
Specifies 24-bit interleaved B-G-R format.
Definition: nvdsinfer_context.h:155
NvDsInferContextBatchPreprocessedInput
Definition: nvdsinfer_context.h:480
_NvDsInferContextInitParams::inputDims
NvDsInferDimsCHW inputDims
Holds the input dimensions for the model.
Definition: nvdsinfer_context.h:259
NvDsInferContextBatchOutput
Holds the output for all of the frames in a batch (an array of frame), and related buffer information...
Definition: nvdsinfer_context.h:599
_NvDsInferContextInitParams::inferInputDims
NvDsInferDimsCHW inferInputDims
Inference input dimensions for runtime engine.
Definition: nvdsinfer_context.h:378
NvDsInferClassificationOutput::label
char * label
Holds a pointer to a string containing a label for the classified output.
Definition: nvdsinfer_context.h:547
NvDsInferNetworkType_Other
@ NvDsInferNetworkType_Other
Specifies other.
Definition: nvdsinfer_context.h:144
NvDsInferObject
Holds the information about one detected object.
Definition: infer_post_datatypes.h:27
_NvDsInferContextInitParams::uffFilePath
char uffFilePath[_PATH_MAX]
Holds the pathname of the UFF model file.
Definition: nvdsinfer_context.h:247
NvDsInferFrameOutput::detectionOutput
NvDsInferDetectionOutput detectionOutput
Holds detector output.
Definition: nvdsinfer_context.h:585
_NvDsInferContextInitParams::numOffsets
unsigned int numOffsets
Definition: nvdsinfer_context.h:304
NvDsInferAttribute
Holds information about one classified attribute.
Definition: nvdsinfer.h:199
NvDsInferContextBatchInput::inputFrames
void ** inputFrames
Holds a pointer to an array of pointers to input frame buffers.
Definition: nvdsinfer_context.h:466
NvDsInferDetectionParams::eps
float eps
Holds the epsilon to control merging of overlapping boxes.
Definition: nvdsinfer_context.h:201
NvDsInferDetectionParams::topK
int topK
Number of objects with objects to be filtered in the decensding order of probability.
Definition: nvdsinfer_context.h:216
_NvDsInferContextInitParams::uffInputBlobName
char uffInputBlobName[_MAX_STR_LENGTH]
Holds the name of the input layer for the UFF model.
Definition: nvdsinfer_context.h:267
_NvDsInferContextInitParams::networkMode
NvDsInferNetworkMode networkMode
Holds an internal data format specifier used by the inference engine.
Definition: nvdsinfer_context.h:240
NvDsInferContextBatchPreprocessedInput::returnFuncData
void * returnFuncData
A pointer to the data to be supplied with the callback in returnInputFunc.
Definition: nvdsinfer_context.h:489
NvDsInferFormat_BGRx
@ NvDsInferFormat_BGRx
Specifies 32-bit interleaved B-G-R-x format.
Definition: nvdsinfer_context.h:161
_NvDsInferContextInitParams::modelEngineFilePath
char modelEngineFilePath[_PATH_MAX]
Holds the pathname of the serialized model engine file.
Definition: nvdsinfer_context.h:278
NvDsInferContextBatchOutput::numHostBuffers
unsigned int numHostBuffers
Holds the number of elements in hostBuffers.
Definition: nvdsinfer_context.h:616
_NvDsInferContextInitParams::clusterMode
NvDsInferClusterMode clusterMode
Holds the type of clustering mode.
Definition: nvdsinfer_context.h:381
NvDsInferStatus
NvDsInferStatus
Enum for the status codes returned by NvDsInferContext.
Definition: nvdsinfer.h:218