imageNet Member List

This is the complete list of members for imageNet, including all inherited members.

AllowGPUFallback() const	tensorNet	inline
applySmoothing()	imageNet	protected
Classifications typedef	imageNet
Classify(T *image, uint32_t width, uint32_t height, float *confidence=NULL)	imageNet	inline
Classify(void *image, uint32_t width, uint32_t height, imageFormat format, float *confidence=NULL)	imageNet
Classify(float *rgba, uint32_t width, uint32_t height, float *confidence=NULL, imageFormat format=IMAGE_RGBA32F)	imageNet
Classify(T *image, uint32_t width, uint32_t height, Classifications &classifications, int topK=1)	imageNet	inline
Classify(void *image, uint32_t width, uint32_t height, imageFormat format, Classifications &classifications, int topK=1)	imageNet
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="googlenet", uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true)	imageNet	static
Create(const char *prototxt_path, const char *model_path, const char *mean_binary, const char *class_labels, const char *input=IMAGENET_DEFAULT_INPUT, const char *output=IMAGENET_DEFAULT_OUTPUT, uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true)	imageNet	static
Create(int argc, char **argv)	imageNet	static
Create(const commandLine &cmdLine)	imageNet	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
GenerateColor(uint32_t classID, float alpha=255.0f)	tensorNet	static
GetClassDesc(int index) const	imageNet	inline
GetClassLabel(int index) const	imageNet	inline
GetClassPath() const	imageNet	inline
GetClassSynset(int index) const	imageNet	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
GetModelFilename() const	tensorNet	inline
GetModelPath() const	tensorNet	inline
GetModelType() const	tensorNet	inline
GetNetworkFPS()	tensorNet	inline
GetNetworkName() const	tensorNet	inline
GetNetworkTime()	tensorNet	inline
GetNumClasses() const	imageNet	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
GetSmoothing() const	imageNet	inline
GetStream() const	tensorNet	inline
GetThreshold() const	imageNet	inline
gLogger	tensorNet	protected
gProfiler	tensorNet	protected
imageNet()	imageNet	protected
init(const char *prototxt_path, const char *model_path, const char *mean_binary, const char *class_path, const char *input, const char *output, uint32_t maxBatchSize, precisionType precision, deviceType device, bool allowGPUFallback)	imageNet	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
loadClassInfo(const char *filename, int expectedClasses=-1)	imageNet	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
mClassDesc	imageNet	protected
mClassPath	imageNet	protected
mClassSynset	imageNet	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
mMaxBatchSize	tensorNet	protected
mMeanPath	tensorNet	protected
mModelFile	tensorNet	protected
mModelPath	tensorNet	protected
mModelType	tensorNet	protected
mNumClasses	imageNet	protected
mOutputs	tensorNet	protected
mPrecision	tensorNet	protected
mProfilerQueriesDone	tensorNet	protected
mProfilerQueriesUsed	tensorNet	protected
mProfilerTimes	tensorNet	protected
mPrototxtPath	tensorNet	protected
mSmoothingBuffer	imageNet	protected
mSmoothingFactor	imageNet	protected
mStream	tensorNet	protected
mThreshold	imageNet	protected
mWorkspaceSize	tensorNet	protected
preProcess(void *image, uint32_t width, uint32_t height, imageFormat format)	imageNet	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
SetSmoothing(float factor)	imageNet	inline
SetStream(cudaStream_t stream)	tensorNet
SetThreshold(float threshold)	imageNet	inline
tensorNet()	tensorNet	protected
Usage()	imageNet	inlinestatic
ValidateEngine(const char *model_path, const char *cache_path, const char *checksum_path)	tensorNet	protected
~imageNet()	imageNet	virtual
~tensorNet()	tensorNet	virtual