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| | Jetson Inference
DNN Vision Library |
detectNet Member List
This is the complete list of members for detectNet, including all inherited members.
| allocDetections() | detectNet | protected | | AllowGPUFallback() const | tensorNet | inline | | clusterDetections(Detection *detections, int n) | detectNet | protected | | ConfigureBuilder(nvinfer1::IBuilder *builder, uint32_t maxBatchSize, uint32_t workspaceSize, precisionType precision, deviceType device, bool allowGPUFallback, nvinfer1::IInt8Calibrator *calibrator) | tensorNet | protected | | Create(const char *network="ssd-mobilenet-v2", float threshold=DETECTNET_DEFAULT_CONFIDENCE_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, float mean_pixel=0.0f, const char *class_labels=NULL, float threshold=DETECTNET_DEFAULT_CONFIDENCE_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, const char *class_labels, const char *class_colors, float threshold=DETECTNET_DEFAULT_CONFIDENCE_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 | | Create(const commandLine &cmdLine) | detectNet | static | | CreateStream(bool nonBlocking=true) | tensorNet | | | Detect(T *image, uint32_t width, uint32_t height, Detection **detections, uint32_t overlay=OVERLAY_DEFAULT) | detectNet | inline | | Detect(T *image, uint32_t width, uint32_t height, Detection *detections, uint32_t overlay=OVERLAY_DEFAULT) | detectNet | inline | | Detect(void *input, uint32_t width, uint32_t height, imageFormat format, Detection **detections, uint32_t overlay=OVERLAY_DEFAULT) | detectNet | | | Detect(void *input, uint32_t width, uint32_t height, imageFormat format, Detection *detections, uint32_t overlay=OVERLAY_DEFAULT) | detectNet | | | Detect(float *input, uint32_t width, uint32_t height, Detection **detections, uint32_t overlay=OVERLAY_DEFAULT) | detectNet | | | Detect(float *input, uint32_t width, uint32_t height, Detection *detections, uint32_t overlay=OVERLAY_DEFAULT) | 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 | | | FindFastestPrecision(deviceType device=DEVICE_GPU, bool allowInt8=true) | tensorNet | static | | GenerateColor(uint32_t classID, float alpha=255.0f) | tensorNet | static | | GetClassColor(uint32_t classIndex) const | detectNet | inline | | GetClassDesc(uint32_t index) const | detectNet | inline | | GetClassLabel(uint32_t index) const | detectNet | inline | | GetClassPath() const | detectNet | inline | | GetClassSynset(uint32_t index) const | detectNet | inline | | GetClusteringThreshold() const | detectNet | inline | | GetConfidenceThreshold() const | detectNet | inline | | GetDevice() const | tensorNet | inline | | GetInputDims(uint32_t layer=0) const | tensorNet | inline | | GetInputHeight(uint32_t layer=0) const | tensorNet | inline | | GetInputLayers() const | tensorNet | inline | | GetInputPtr(uint32_t layer=0) const | tensorNet | inline | | GetInputSize(uint32_t layer=0) const | tensorNet | inline | | GetInputWidth(uint32_t layer=0) const | tensorNet | inline | | GetLineWidth() const | detectNet | inline | | GetMaxDetections() const | detectNet | inline | | GetModelFilename() const | tensorNet | inline | | GetModelPath() const | tensorNet | inline | | GetModelType() const | tensorNet | inline | | GetNetworkFPS() | tensorNet | inline | | GetNetworkName() const | tensorNet | inline | | GetNetworkTime() | tensorNet | inline | | GetNumClasses() const | detectNet | inline | | GetOutputDims(uint32_t layer=0) const | tensorNet | inline | | GetOutputHeight(uint32_t layer=0) const | tensorNet | inline | | GetOutputLayers() const | tensorNet | inline | | GetOutputPtr(uint32_t layer=0) const | tensorNet | inline | | GetOutputSize(uint32_t layer=0) const | tensorNet | inline | | GetOutputWidth(uint32_t layer=0) const | tensorNet | inline | | GetOverlayAlpha() 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 | | GetTracker() const | detectNet | inline | | gLogger | tensorNet | protected | | gProfiler | tensorNet | protected | | init(const char *prototxt_path, const char *model_path, const char *class_labels, const char *class_colors, 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 | | LoadClassColors(const char *filename, float4 *colors, int expectedClasses, float defaultAlpha=255.0f) | tensorNet | static | | LoadClassColors(const char *filename, float4 **colors, int expectedClasses, float defaultAlpha=255.0f) | tensorNet | static | | loadClassColors(const char *filename) | detectNet | protected | | loadClassInfo(const char *filename) | detectNet | protected | | LoadClassLabels(const char *filename, std::vector< std::string > &descriptions, int expectedClasses=-1) | tensorNet | static | | LoadClassLabels(const char *filename, std::vector< std::string > &descriptions, std::vector< std::string > &synsets, int expectedClasses=-1) | tensorNet | static | | LoadEngine(const char *engine_filename, const std::vector< std::string > &input_blobs, const std::vector< std::string > &output_blobs, nvinfer1::IPluginFactory *pluginFactory=NULL, deviceType device=DEVICE_GPU, cudaStream_t stream=NULL) | tensorNet | | | LoadEngine(char *engine_stream, size_t engine_size, const std::vector< std::string > &input_blobs, const std::vector< std::string > &output_blobs, nvinfer1::IPluginFactory *pluginFactory=NULL, deviceType device=DEVICE_GPU, cudaStream_t stream=NULL) | tensorNet | | | LoadEngine(nvinfer1::ICudaEngine *engine, const std::vector< std::string > &input_blobs, const std::vector< std::string > &output_blobs, deviceType device=DEVICE_GPU, cudaStream_t stream=NULL) | tensorNet | | | LoadEngine(const char *filename, char **stream, size_t *size) | tensorNet | | | 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 std::vector< std::string > &input_blobs, 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 | | | LoadNetwork(const char *prototxt, const char *model, const char *mean, const std::vector< std::string > &input_blobs, const std::vector< 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 | | mBindings | tensorNet | protected | | mCacheCalibrationPath | tensorNet | protected | | mCacheEnginePath | tensorNet | protected | | mChecksumPath | tensorNet | protected | | mClassColors | detectNet | protected | | mClassDesc | detectNet | protected | | mClassPath | detectNet | protected | | mClassSynset | detectNet | protected | | mClusteringThreshold | detectNet | protected | | mConfidenceThreshold | detectNet | protected | | mContext | tensorNet | 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 | | mInfer | tensorNet | protected | | mInputs | tensorNet | protected | | mLineWidth | detectNet | protected | | mMaxBatchSize | tensorNet | protected | | mMaxDetections | detectNet | protected | | mMeanPath | tensorNet | protected | | mMeanPixel | detectNet | protected | | mModelFile | tensorNet | protected | | mModelPath | tensorNet | protected | | mModelType | tensorNet | protected | | mNumClasses | detectNet | protected | | mNumDetectionSets | detectNet | protectedstatic | | mOutputs | tensorNet | protected | | mOverlayAlpha | detectNet | protected | | mPrecision | tensorNet | protected | | mProfilerQueriesDone | tensorNet | protected | | mProfilerQueriesUsed | tensorNet | protected | | mProfilerTimes | tensorNet | protected | | mPrototxtPath | tensorNet | protected | | mStream | tensorNet | protected | | mTracker | detectNet | protected | | mWorkspaceSize | tensorNet | protected | | Overlay(T *input, T *output, uint32_t width, uint32_t height, Detection *detections, uint32_t numDetections, uint32_t flags=OVERLAY_DEFAULT) | detectNet | inline | | Overlay(void *input, void *output, uint32_t width, uint32_t height, imageFormat format, Detection *detections, uint32_t numDetections, uint32_t flags=OVERLAY_DEFAULT) | detectNet | | | OVERLAY_BOX enum value | detectNet | | | OVERLAY_CONFIDENCE enum value | detectNet | | | OVERLAY_DEFAULT enum value | detectNet | | | OVERLAY_LABEL enum value | detectNet | | | OVERLAY_LINES enum value | detectNet | | | OVERLAY_NONE enum value | detectNet | | | OVERLAY_TRACKING enum value | detectNet | | | OverlayFlags enum name | detectNet | | | OverlayFlagsFromStr(const char *flags) | detectNet | static | | postProcess(void *input, uint32_t width, uint32_t height, imageFormat format, Detection *detections) | detectNet | protected | | postProcessDetectNet(Detection *detections, uint32_t width, uint32_t height) | detectNet | protected | | postProcessDetectNet_v2(Detection *detections, uint32_t width, uint32_t height) | detectNet | protected | | postProcessSSD_ONNX(Detection *detections, uint32_t width, uint32_t height) | detectNet | protected | | postProcessSSD_UFF(Detection *detections, uint32_t width, uint32_t height) | detectNet | protected | | preProcess(void *input, uint32_t width, uint32_t height, imageFormat format) | detectNet | protected | | PrintProfilerTimes() | tensorNet | inline | | ProcessNetwork(bool sync=true) | tensorNet | protected | | ProfileModel(const std::string &deployFile, const std::string &modelFile, const std::vector< std::string > &inputs, const std::vector< Dims3 > &inputDims, const std::vector< std::string > &outputs, uint32_t maxBatchSize, precisionType precision, deviceType device, bool allowGPUFallback, nvinfer1::IInt8Calibrator *calibrator, char **engineStream, size_t *engineSize) | tensorNet | protected | | PROFILER_BEGIN(profilerQuery query) | tensorNet | inlineprotected | | PROFILER_END(profilerQuery query) | tensorNet | inlineprotected | | PROFILER_QUERY(profilerQuery query) | tensorNet | inlineprotected | | SelectPrecision(precisionType precision, deviceType device=DEVICE_GPU, bool allowInt8=true) | tensorNet | static | | SetClassColor(uint32_t classIndex, const float4 &color) | detectNet | inline | | SetClassColor(uint32_t classIndex, float r, float g, float b, float a=255.0f) | detectNet | inline | | SetClusteringThreshold(float threshold) | detectNet | inline | | SetConfidenceThreshold(float threshold) | detectNet | inline | | SetLineWidth(float width) | detectNet | inline | | SetOverlayAlpha(float alpha) | detectNet | | | SetStream(cudaStream_t stream) | tensorNet | | | SetThreshold(float threshold) | detectNet | inline | | SetTracker(objectTracker *tracker) | detectNet | inline | | sortDetections(Detection *detections, int numDetections) | detectNet | protected | | tensorNet() | tensorNet | protected | | Usage() | detectNet | inlinestatic | | ValidateEngine(const char *model_path, const char *cache_path, const char *checksum_path) | tensorNet | protected | | ~detectNet() | detectNet | virtual | | ~tensorNet() | tensorNet | virtual |