Jetson Inference
DNN Vision Library
depthNet Member List

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

allocHistogramBuffers()depthNetprotected
AllowGPUFallback() consttensorNetinline
ConfigureBuilder(nvinfer1::IBuilder *builder, uint32_t maxBatchSize, uint32_t workspaceSize, precisionType precision, deviceType device, bool allowGPUFallback, nvinfer1::IInt8Calibrator *calibrator)tensorNetprotected
Create(const char *network="fcn-mobilenet", uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true)depthNetstatic
Create(const char *model_path, const char *input=DEPTHNET_DEFAULT_INPUT, const char *output=DEPTHNET_DEFAULT_OUTPUT, uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true)depthNetstatic
Create(const char *model_path, const char *input, const Dims3 &inputDims, const char *output, uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true)depthNetstatic
Create(int argc, char **argv)depthNetstatic
Create(const commandLine &cmdLine)depthNetstatic
CreateStream(bool nonBlocking=true)tensorNet
depthNet()depthNetprotected
DetectNativePrecision(const std::vector< precisionType > &nativeTypes, precisionType type)tensorNetstatic
DetectNativePrecision(precisionType precision, deviceType device=DEVICE_GPU)tensorNetstatic
DetectNativePrecisions(deviceType device=DEVICE_GPU)tensorNetstatic
EnableDebug()tensorNet
EnableLayerProfiler()tensorNet
FindFastestPrecision(deviceType device=DEVICE_GPU, bool allowInt8=true)tensorNetstatic
GenerateColor(uint32_t classID, float alpha=255.0f)tensorNetstatic
GetDepthField() constdepthNetinline
GetDepthFieldHeight() constdepthNetinline
GetDepthFieldWidth() constdepthNetinline
GetDevice() consttensorNetinline
GetInputDims(uint32_t layer=0) consttensorNetinline
GetInputHeight(uint32_t layer=0) consttensorNetinline
GetInputLayers() consttensorNetinline
GetInputPtr(uint32_t layer=0) consttensorNetinline
GetInputSize(uint32_t layer=0) consttensorNetinline
GetInputWidth(uint32_t layer=0) consttensorNetinline
GetModelFilename() consttensorNetinline
GetModelPath() consttensorNetinline
GetModelType() consttensorNetinline
GetNetworkFPS()tensorNetinline
GetNetworkName() consttensorNetinline
GetNetworkTime()tensorNetinline
GetOutputDims(uint32_t layer=0) consttensorNetinline
GetOutputHeight(uint32_t layer=0) consttensorNetinline
GetOutputLayers() consttensorNetinline
GetOutputPtr(uint32_t layer=0) consttensorNetinline
GetOutputSize(uint32_t layer=0) consttensorNetinline
GetOutputWidth(uint32_t layer=0) consttensorNetinline
GetPrecision() consttensorNetinline
GetProfilerTime(profilerQuery query)tensorNetinline
GetProfilerTime(profilerQuery query, profilerDevice device)tensorNetinline
GetPrototxtPath() consttensorNetinline
GetStream() consttensorNetinline
gLoggertensorNetprotected
gProfilertensorNetprotected
histogramEqualization()depthNetprotected
histogramEqualizationCUDA()depthNetprotected
IsModelType(modelType type) consttensorNetinline
IsPrecision(precisionType type) consttensorNetinline
LoadClassColors(const char *filename, float4 *colors, int expectedClasses, float defaultAlpha=255.0f)tensorNetstatic
LoadClassColors(const char *filename, float4 **colors, int expectedClasses, float defaultAlpha=255.0f)tensorNetstatic
LoadClassLabels(const char *filename, std::vector< std::string > &descriptions, int expectedClasses=-1)tensorNetstatic
LoadClassLabels(const char *filename, std::vector< std::string > &descriptions, std::vector< std::string > &synsets, int expectedClasses=-1)tensorNetstatic
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
mAllowGPUFallbacktensorNetprotected
mBindingstensorNetprotected
mCacheCalibrationPathtensorNetprotected
mCacheEnginePathtensorNetprotected
mChecksumPathtensorNetprotected
mContexttensorNetprotected
mDepthEqualizeddepthNetprotected
mDepthRangedepthNetprotected
mDevicetensorNetprotected
mEnableDebugtensorNetprotected
mEnableProfilertensorNetprotected
mEnginetensorNetprotected
mEventsCPUtensorNetprotected
mEventsGPUtensorNetprotected
mHistogramdepthNetprotected
mHistogramCDFdepthNetprotected
mHistogramEDUdepthNetprotected
mHistogramPDFdepthNetprotected
mInfertensorNetprotected
mInputstensorNetprotected
mMaxBatchSizetensorNetprotected
mMeanPathtensorNetprotected
mModelFiletensorNetprotected
mModelPathtensorNetprotected
mModelTypetensorNetprotected
mOutputstensorNetprotected
mPrecisiontensorNetprotected
mProfilerQueriesDonetensorNetprotected
mProfilerQueriesUsedtensorNetprotected
mProfilerTimestensorNetprotected
mPrototxtPathtensorNetprotected
mStreamtensorNetprotected
mWorkspaceSizetensorNetprotected
PrintProfilerTimes()tensorNetinline
Process(T *image, uint32_t width, uint32_t height)depthNetinline
Process(void *input, uint32_t width, uint32_t height, imageFormat format)depthNet
Process(T1 *input, T2 *output, uint32_t width, uint32_t height, cudaColormapType colormap=COLORMAP_VIRIDIS_INVERTED, cudaFilterMode filter=FILTER_LINEAR)depthNetinline
Process(void *input, imageFormat input_format, void *output, imageFormat output_format, uint32_t width, uint32_t height, cudaColormapType colormap=COLORMAP_VIRIDIS_INVERTED, cudaFilterMode filter=FILTER_LINEAR)depthNet
Process(T1 *input, uint32_t input_width, uint32_t input_height, T2 *output, uint32_t output_width, uint32_t output_height, cudaColormapType colormap=COLORMAP_DEFAULT, cudaFilterMode filter=FILTER_LINEAR)depthNetinline
Process(void *input, uint32_t input_width, uint32_t input_height, imageFormat input_format, void *output, uint32_t output_width, uint32_t output_height, imageFormat output_format, cudaColormapType colormap=COLORMAP_DEFAULT, cudaFilterMode filter=FILTER_LINEAR)depthNet
ProcessNetwork(bool sync=true)tensorNetprotected
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)tensorNetprotected
PROFILER_BEGIN(profilerQuery query)tensorNetinlineprotected
PROFILER_END(profilerQuery query)tensorNetinlineprotected
PROFILER_QUERY(profilerQuery query)tensorNetinlineprotected
SavePointCloud(const char *filename)depthNet
SavePointCloud(const char *filename, float *rgba, uint32_t width, uint32_t height)depthNet
SavePointCloud(const char *filename, float *rgba, uint32_t width, uint32_t height, const float2 &focalLength, const float2 &principalPoint)depthNet
SavePointCloud(const char *filename, float *rgba, uint32_t width, uint32_t height, const float intrinsicCalibration[3][3])depthNet
SavePointCloud(const char *filename, float *rgba, uint32_t width, uint32_t height, const char *intrinsicCalibrationPath)depthNet
SelectPrecision(precisionType precision, deviceType device=DEVICE_GPU, bool allowInt8=true)tensorNetstatic
SetStream(cudaStream_t stream)tensorNet
tensorNet()tensorNetprotected
Usage()depthNetinlinestatic
ValidateEngine(const char *model_path, const char *cache_path, const char *checksum_path)tensorNetprotected
VisualizationFlags enum namedepthNet
VisualizationFlagsFromStr(const char *str, uint32_t default_value=VISUALIZE_INPUT|VISUALIZE_DEPTH)depthNetstatic
Visualize(T *output, uint32_t width, uint32_t height, cudaColormapType colormap=COLORMAP_DEFAULT, cudaFilterMode filter=FILTER_LINEAR)depthNetinline
Visualize(void *output, uint32_t width, uint32_t height, imageFormat format, cudaColormapType colormap=COLORMAP_DEFAULT, cudaFilterMode filter=FILTER_LINEAR)depthNet
VISUALIZE_DEPTH enum valuedepthNet
VISUALIZE_INPUT enum valuedepthNet
~depthNet()depthNetvirtual
~tensorNet()tensorNetvirtual