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Jetson Inference
DNN Vision Library
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Jetson Inference
DNN Vision Library
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This is the complete list of members for detectNet, including all inherited members.
| allocDetections() | detectNet | protected |
| AllowGPUFallback() const | tensorNet | inline |
| clusterDetections(Detection *detections, uint32_t width, uint32_t height) | detectNet | protected |
| COCO_AIRPLANE enum value | detectNet | |
| COCO_BOTTLE enum value | detectNet | |
| COCO_CHAIR enum value | detectNet | |
| COCO_DOG enum value | detectNet | |
| Create(NetworkType networkType=PEDNET_MULTI, float threshold=DETECTNET_DEFAULT_THRESHOLD, uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true) | detectNet | static |
| Create(const char *prototxt_path, const char *model_path, const char *mean_binary, const char *class_labels, float threshold=DETECTNET_DEFAULT_THRESHOLD, const char *input=DETECTNET_DEFAULT_INPUT, const char *coverage=DETECTNET_DEFAULT_COVERAGE, const char *bboxes=DETECTNET_DEFAULT_BBOX, uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true) | detectNet | static |
| Create(const char *prototxt_path, const char *model_path, float mean_pixel=0.0f, const char *class_labels=NULL, float threshold=DETECTNET_DEFAULT_THRESHOLD, const char *input=DETECTNET_DEFAULT_INPUT, const char *coverage=DETECTNET_DEFAULT_COVERAGE, const char *bboxes=DETECTNET_DEFAULT_BBOX, uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true) | detectNet | static |
| Create(const char *model_path, const char *class_labels, float threshold, const char *input, const Dims3 &inputDims, const char *output, const char *numDetections, uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true) | detectNet | static |
| Create(int argc, char **argv) | detectNet | static |
| CreateStream(bool nonBlocking=true) | tensorNet | |
| CUSTOM enum value | detectNet | |
| defaultClassDesc() | detectNet | protected |
| defaultColors() | detectNet | protected |
| Detect(float *input, uint32_t width, uint32_t height, Detection **detections, uint32_t overlay=OVERLAY_BOX) | detectNet | |
| Detect(float *input, uint32_t width, uint32_t height, Detection *detections, uint32_t overlay=OVERLAY_BOX) | detectNet | |
| DetectNativePrecision(const std::vector< precisionType > &nativeTypes, precisionType type) | tensorNet | static |
| DetectNativePrecision(precisionType precision, deviceType device=DEVICE_GPU) | tensorNet | static |
| DetectNativePrecisions(deviceType device=DEVICE_GPU) | tensorNet | static |
| detectNet(float meanPixel=0.0f) | detectNet | protected |
| EnableDebug() | tensorNet | |
| EnableLayerProfiler() | tensorNet | |
| FACENET enum value | detectNet | |
| FindFastestPrecision(deviceType device=DEVICE_GPU, bool allowInt8=true) | tensorNet | static |
| GetClassDesc(uint32_t index) const | detectNet | inline |
| GetClassPath() const | detectNet | inline |
| GetClassSynset(uint32_t index) const | detectNet | inline |
| GetDevice() const | tensorNet | inline |
| GetMaxDetections() const | detectNet | inline |
| GetModelPath() const | tensorNet | inline |
| GetModelType() const | tensorNet | inline |
| GetNetworkTime() | tensorNet | inline |
| GetNumClasses() const | detectNet | inline |
| GetPrecision() const | tensorNet | inline |
| GetProfilerTime(profilerQuery query) | tensorNet | inline |
| GetProfilerTime(profilerQuery query, profilerDevice device) | tensorNet | inline |
| GetPrototxtPath() const | tensorNet | inline |
| GetStream() const | tensorNet | inline |
| GetThreshold() const | detectNet | inline |
| gLogger | tensorNet | protected |
| gProfiler | tensorNet | protected |
| init(const char *prototxt_path, const char *model_path, const char *mean_binary, const char *class_labels, float threshold, const char *input, const char *coverage, const char *bboxes, uint32_t maxBatchSize, precisionType precision, deviceType device, bool allowGPUFallback) | detectNet | protected |
| IsModelType(modelType type) const | tensorNet | inline |
| IsPrecision(precisionType type) const | tensorNet | inline |
| loadClassDesc(const char *filename) | detectNet | protected |
| LoadNetwork(const char *prototxt, const char *model, const char *mean=NULL, const char *input_blob="data", const char *output_blob="prob", uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true, nvinfer1::IInt8Calibrator *calibrator=NULL, cudaStream_t stream=NULL) | tensorNet | |
| LoadNetwork(const char *prototxt, const char *model, const char *mean, const char *input_blob, const std::vector< std::string > &output_blobs, uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true, nvinfer1::IInt8Calibrator *calibrator=NULL, cudaStream_t stream=NULL) | tensorNet | |
| LoadNetwork(const char *prototxt, const char *model, const char *mean, const char *input_blob, const Dims3 &input_dims, const std::vector< std::string > &output_blobs, uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true, nvinfer1::IInt8Calibrator *calibrator=NULL, cudaStream_t stream=NULL) | tensorNet | |
| mAllowGPUFallback | tensorNet | protected |
| mCacheCalibrationPath | tensorNet | protected |
| mCacheEnginePath | tensorNet | protected |
| mClassColors | detectNet | protected |
| mClassDesc | detectNet | protected |
| mClassPath | detectNet | protected |
| mClassSynset | detectNet | protected |
| mContext | tensorNet | protected |
| mCoverageThreshold | detectNet | protected |
| mCustomClasses | detectNet | protected |
| mDetectionSet | detectNet | protected |
| mDetectionSets | detectNet | protected |
| mDevice | tensorNet | protected |
| mEnableDebug | tensorNet | protected |
| mEnableProfiler | tensorNet | protected |
| mEngine | tensorNet | protected |
| mEventsCPU | tensorNet | protected |
| mEventsGPU | tensorNet | protected |
| mHeight | tensorNet | protected |
| mInfer | tensorNet | protected |
| mInputBlobName | tensorNet | protected |
| mInputCPU | tensorNet | protected |
| mInputCUDA | tensorNet | protected |
| mInputDims | tensorNet | protected |
| mInputSize | tensorNet | protected |
| mMaxBatchSize | tensorNet | protected |
| mMaxDetections | detectNet | protected |
| mMeanPath | tensorNet | protected |
| mMeanPixel | detectNet | protected |
| mModelPath | tensorNet | protected |
| mModelType | tensorNet | protected |
| mNumClasses | detectNet | protected |
| mNumDetectionSets | detectNet | protectedstatic |
| mOutputs | tensorNet | protected |
| mPrecision | tensorNet | protected |
| mProfilerQueriesDone | tensorNet | protected |
| mProfilerQueriesUsed | tensorNet | protected |
| mProfilerTimes | tensorNet | protected |
| mPrototxtPath | tensorNet | protected |
| mStream | tensorNet | protected |
| mWidth | tensorNet | protected |
| NetworkType enum name | detectNet | |
| NetworkTypeFromStr(const char *model_name) | detectNet | static |
| Overlay(float *input, float *output, uint32_t width, uint32_t height, Detection *detections, uint32_t numDetections, uint32_t flags=OVERLAY_BOX) | detectNet | |
| OVERLAY_BOX enum value | detectNet | |
| OVERLAY_LABEL enum value | detectNet | |
| OVERLAY_NONE enum value | detectNet | |
| OverlayFlags enum name | detectNet | |
| PEDNET enum value | detectNet | |
| PEDNET_MULTI enum value | detectNet | |
| PrintProfilerTimes() | tensorNet | inline |
| ProfileModel(const std::string &deployFile, const std::string &modelFile, const char *input, const Dims3 &inputDims, const std::vector< std::string > &outputs, uint32_t maxBatchSize, precisionType precision, deviceType device, bool allowGPUFallback, nvinfer1::IInt8Calibrator *calibrator, std::ostream &modelStream) | tensorNet | protected |
| PROFILER_BEGIN(profilerQuery query) | tensorNet | inlineprotected |
| PROFILER_END(profilerQuery query) | tensorNet | inlineprotected |
| PROFILER_QUERY(profilerQuery query) | tensorNet | inlineprotected |
| SetClassColor(uint32_t classIndex, float r, float g, float b, float a=255.0f) | detectNet | |
| SetStream(cudaStream_t stream) | tensorNet | |
| SetThreshold(float threshold) | detectNet | inline |
| tensorNet() | tensorNet | protected |
| Usage() | detectNet | inlinestatic |
| ~detectNet() | detectNet | virtual |
| ~tensorNet() | tensorNet | virtual |
1.8.13