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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 poseNet, including all inherited members.
| AllowGPUFallback() const | tensorNet | inline |
| CMAP_WINDOW_SIZE | poseNet | protectedstatic |
| 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="resnet18-body", float threshold=POSENET_DEFAULT_THRESHOLD, uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true) | poseNet | static |
| Create(const char *model_path, const char *topology, const char *colors, float threshold=POSENET_DEFAULT_THRESHOLD, const char *input=POSENET_DEFAULT_INPUT, const char *cmap=POSENET_DEFAULT_CMAP, const char *paf=POSENET_DEFAULT_PAF, uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true) | poseNet | static |
| Create(int argc, char **argv) | poseNet | static |
| Create(const commandLine &cmdLine) | poseNet | static |
| CreateStream(bool nonBlocking=true) | tensorNet | |
| 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 |
| EnableDebug() | tensorNet | |
| EnableLayerProfiler() | tensorNet | |
| FindFastestPrecision(deviceType device=DEVICE_GPU, bool allowInt8=true) | tensorNet | static |
| FindKeypointID(const char *name) const | poseNet | inline |
| GenerateColor(uint32_t classID, float alpha=255.0f) | tensorNet | static |
| GetCategory() const | poseNet | 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 |
| GetKeypointColor(uint32_t index) const | poseNet | inline |
| GetKeypointName(uint32_t index) const | poseNet | inline |
| GetKeypointScale() const | poseNet | inline |
| GetLinkScale() const | poseNet | inline |
| GetModelFilename() const | tensorNet | inline |
| GetModelPath() const | tensorNet | inline |
| GetModelType() const | tensorNet | inline |
| GetNetworkFPS() | tensorNet | inline |
| GetNetworkName() const | tensorNet | inline |
| GetNetworkTime() | tensorNet | inline |
| GetNumKeypoints() const | poseNet | 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 |
| 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 | poseNet | inline |
| gLogger | tensorNet | protected |
| gProfiler | tensorNet | protected |
| init(const char *model_path, const char *topology, const char *colors, float threshold, const char *input, const char *cmap, const char *paf, uint32_t maxBatchSize, precisionType precision, deviceType device, bool allowGPUFallback) | poseNet | 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 |
| 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 | |
| loadKeypointColors(const char *filename) | poseNet | 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 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 | |
| loadTopology(const char *json_path, Topology *topology) | poseNet | protected |
| mAllowGPUFallback | tensorNet | protected |
| mAssignmentWorkspace | poseNet | protected |
| MAX_LINKS | poseNet | protectedstatic |
| MAX_OBJECTS | poseNet | protectedstatic |
| mBindings | tensorNet | protected |
| mCacheCalibrationPath | tensorNet | protected |
| mCacheEnginePath | tensorNet | protected |
| mChecksumPath | tensorNet | protected |
| mConnections | poseNet | protected |
| mConnectionWorkspace | poseNet | protected |
| mContext | tensorNet | 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 |
| mKeypointColors | poseNet | protected |
| mKeypointScale | poseNet | protected |
| mLinkScale | poseNet | protected |
| mMaxBatchSize | tensorNet | protected |
| mMeanPath | tensorNet | protected |
| mModelFile | tensorNet | protected |
| mModelPath | tensorNet | protected |
| mModelType | tensorNet | protected |
| mNumObjects | poseNet | protected |
| mObjects | poseNet | protected |
| mOutputs | tensorNet | protected |
| mPeakCounts | poseNet | protected |
| mPeaks | poseNet | protected |
| mPrecision | tensorNet | protected |
| mProfilerQueriesDone | tensorNet | protected |
| mProfilerQueriesUsed | tensorNet | protected |
| mProfilerTimes | tensorNet | protected |
| mPrototxtPath | tensorNet | protected |
| mRefinedPeaks | poseNet | protected |
| mScoreGraph | poseNet | protected |
| mStream | tensorNet | protected |
| mThreshold | poseNet | protected |
| mTopology | poseNet | protected |
| mWorkspaceSize | tensorNet | protected |
| Overlay(T *input, T *output, uint32_t width, uint32_t height, const std::vector< ObjectPose > &poses, uint32_t overlay=OVERLAY_DEFAULT) | poseNet | inline |
| Overlay(void *input, void *output, uint32_t width, uint32_t height, imageFormat format, const std::vector< ObjectPose > &poses, uint32_t overlay=OVERLAY_DEFAULT) | poseNet | |
| OVERLAY_BOX enum value | poseNet | |
| OVERLAY_DEFAULT enum value | poseNet | |
| OVERLAY_KEYPOINTS enum value | poseNet | |
| OVERLAY_LINKS enum value | poseNet | |
| OVERLAY_NONE enum value | poseNet | |
| OverlayFlags enum name | poseNet | |
| OverlayFlagsFromStr(const char *flags) | poseNet | static |
| PAF_INTEGRAL_SAMPLES | poseNet | protectedstatic |
| poseNet() | poseNet | protected |
| postProcess(std::vector< ObjectPose > &poses, uint32_t width, uint32_t height) | poseNet | protected |
| PrintProfilerTimes() | tensorNet | inline |
| Process(T *image, uint32_t width, uint32_t height, std::vector< ObjectPose > &poses, uint32_t overlay=OVERLAY_DEFAULT) | poseNet | inline |
| Process(void *image, uint32_t width, uint32_t height, imageFormat format, std::vector< ObjectPose > &poses, uint32_t overlay=OVERLAY_DEFAULT) | poseNet | |
| Process(T *image, uint32_t width, uint32_t height, uint32_t overlay=OVERLAY_DEFAULT) | poseNet | inline |
| Process(void *image, uint32_t width, uint32_t height, imageFormat format, uint32_t overlay=OVERLAY_DEFAULT) | poseNet | |
| 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 |
| SetKeypointAlpha(uint32_t index, float alpha) | poseNet | inline |
| SetKeypointAlpha(float alpha) | poseNet | inline |
| SetKeypointColor(uint32_t index, const float4 &color) | poseNet | inline |
| SetKeypointScale(float scale) | poseNet | inline |
| SetLinkScale(float scale) | poseNet | inline |
| SetStream(cudaStream_t stream) | tensorNet | |
| SetThreshold(float threshold) | poseNet | inline |
| tensorNet() | tensorNet | protected |
| Usage() | poseNet | inlinestatic |
| ValidateEngine(const char *model_path, const char *cache_path, const char *checksum_path) | tensorNet | protected |
| ~poseNet() | poseNet | virtual |
| ~tensorNet() | tensorNet | virtual |
1.8.17