Jetson Inference
DNN Vision Library
segNet Member List

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

AllowGPUFallback() consttensorNetinline
classify(const char *ignore_class)segNetprotected
ConfigureBuilder(nvinfer1::IBuilder *builder, uint32_t maxBatchSize, uint32_t workspaceSize, precisionType precision, deviceType device, bool allowGPUFallback, nvinfer1::IInt8Calibrator *calibrator)tensorNetprotected
Create(NetworkType networkType=FCN_ALEXNET_CITYSCAPES_SD, uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true)segNetstatic
Create(const char *prototxt_path, const char *model_path, const char *class_labels, const char *class_colors=NULL, const char *input=SEGNET_DEFAULT_INPUT, const char *output=SEGNET_DEFAULT_OUTPUT, uint32_t maxBatchSize=DEFAULT_MAX_BATCH_SIZE, precisionType precision=TYPE_FASTEST, deviceType device=DEVICE_GPU, bool allowGPUFallback=true)segNetstatic
Create(int argc, char **argv)segNetstatic
Create(const commandLine &cmdLine)segNetstatic
CreateStream(bool nonBlocking=true)tensorNet
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
FCN_ALEXNET_AERIAL_FPV_720p enum valuesegNet
FCN_ALEXNET_CITYSCAPES_HD enum valuesegNet
FCN_ALEXNET_CITYSCAPES_SD enum valuesegNet
FCN_ALEXNET_PASCAL_VOC enum valuesegNet
FCN_ALEXNET_SYNTHIA_CVPR16 enum valuesegNet
FCN_ALEXNET_SYNTHIA_SUMMER_HD enum valuesegNet
FCN_ALEXNET_SYNTHIA_SUMMER_SD enum valuesegNet
FCN_RESNET18_CITYSCAPES_1024x512 enum valuesegNet
FCN_RESNET18_CITYSCAPES_2048x1024 enum valuesegNet
FCN_RESNET18_CITYSCAPES_512x256 enum valuesegNet
FCN_RESNET18_DEEPSCENE_576x320 enum valuesegNet
FCN_RESNET18_DEEPSCENE_864x480 enum valuesegNet
FCN_RESNET18_MHP_512x320 enum valuesegNet
FCN_RESNET18_MHP_640x360 enum valuesegNet
FCN_RESNET18_SUNRGB_512x400 enum valuesegNet
FCN_RESNET18_SUNRGB_640x512 enum valuesegNet
FCN_RESNET18_VOC_320x320 enum valuesegNet
FCN_RESNET18_VOC_512x320 enum valuesegNet
FILTER_LINEAR enum valuesegNet
FILTER_POINT enum valuesegNet
FilterMode enum namesegNet
FilterModeFromStr(const char *str, FilterMode default_value=FILTER_LINEAR)segNetstatic
FindClassID(const char *label_name)segNet
FindFastestPrecision(deviceType device=DEVICE_GPU, bool allowInt8=true)tensorNetstatic
GetClassColor(uint32_t id) constsegNetinline
GetClassDesc(uint32_t id) constsegNetinline
GetClassPath() constsegNetinline
GetDevice() consttensorNetinline
GetGridHeight() constsegNetinline
GetGridWidth() constsegNetinline
GetInputDims(uint32_t layer=0) consttensorNetinline
GetInputHeight(uint32_t layer=0) consttensorNetinline
GetInputLayers() consttensorNetinline
GetInputSize(uint32_t layer=0) consttensorNetinline
GetInputWidth(uint32_t layer=0) consttensorNetinline
GetModelPath() consttensorNetinline
GetModelType() consttensorNetinline
GetNetworkFPS()tensorNetinline
GetNetworkName() constsegNetinline
GetNetworkTime()tensorNetinline
GetNetworkType() constsegNetinline
GetNumClasses() constsegNetinline
GetOutputDims(uint32_t layer=0) consttensorNetinline
GetOutputHeight(uint32_t layer=0) consttensorNetinline
GetOutputLayers() 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
IsModelType(modelType type) consttensorNetinline
IsPrecision(precisionType type) consttensorNetinline
loadClassColors(const char *filename)segNetprotected
loadClassLabels(const char *filename)segNetprotected
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
Mask(T *output, uint32_t width, uint32_t height, FilterMode filter=FILTER_LINEAR)segNetinline
Mask(void *output, uint32_t width, uint32_t height, imageFormat format, FilterMode filter=FILTER_LINEAR)segNet
Mask(float *output, uint32_t width, uint32_t height, FilterMode filter=FILTER_LINEAR)segNet
Mask(uint8_t *output, uint32_t width, uint32_t height)segNet
mBindingstensorNetprotected
mCacheCalibrationPathtensorNetprotected
mCacheEnginePathtensorNetprotected
mClassColorssegNetprotected
mClassLabelssegNetprotected
mClassMapsegNetprotected
mClassPathsegNetprotected
mColorsAlphaSetsegNetprotected
mContexttensorNetprotected
mDevicetensorNetprotected
mEnableDebugtensorNetprotected
mEnableProfilertensorNetprotected
mEnginetensorNetprotected
mEventsCPUtensorNetprotected
mEventsGPUtensorNetprotected
mInfertensorNetprotected
mInputstensorNetprotected
mLastInputFormatsegNetprotected
mLastInputHeightsegNetprotected
mLastInputImgsegNetprotected
mLastInputWidthsegNetprotected
mMaxBatchSizetensorNetprotected
mMeanPathtensorNetprotected
mModelPathtensorNetprotected
mModelTypetensorNetprotected
mNetworkTypesegNetprotected
mOutputstensorNetprotected
mPrecisiontensorNetprotected
mProfilerQueriesDonetensorNetprotected
mProfilerQueriesUsedtensorNetprotected
mProfilerTimestensorNetprotected
mPrototxtPathtensorNetprotected
mStreamtensorNetprotected
mWorkspaceSizetensorNetprotected
NetworkType enum namesegNet
NetworkTypeFromStr(const char *model_name)segNetstatic
NetworkTypeToStr(NetworkType networkType)segNetstatic
Overlay(T *output, uint32_t width, uint32_t height, FilterMode filter=FILTER_LINEAR)segNetinline
Overlay(void *output, uint32_t width, uint32_t height, imageFormat format, FilterMode filter=FILTER_LINEAR)segNet
Overlay(float *output, uint32_t width, uint32_t height, FilterMode filter=FILTER_LINEAR)segNet
overlayLinear(void *input, uint32_t in_width, uint32_t in_height, imageFormat in_format, void *output, uint32_t out_width, uint32_t out_height, imageFormat out_format, bool mask_only)segNetprotected
overlayPoint(void *input, uint32_t in_width, uint32_t in_height, imageFormat in_format, void *output, uint32_t out_width, uint32_t out_height, imageFormat out_format, bool mask_only)segNetprotected
PrintProfilerTimes()tensorNetinline
Process(T *input, uint32_t width, uint32_t height, const char *ignore_class="void")segNetinline
Process(void *input, uint32_t width, uint32_t height, imageFormat format, const char *ignore_class="void")segNet
Process(float *input, uint32_t width, uint32_t height, const char *ignore_class="void")segNet
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
saveClassLegend(const char *filename)segNetprotected
segNet()segNetprotected
SEGNET_CUSTOM enum valuesegNet
SelectPrecision(precisionType precision, deviceType device=DEVICE_GPU, bool allowInt8=true)tensorNetstatic
SetClassColor(uint32_t classIndex, float r, float g, float b, float a=255.0f)segNet
SetOverlayAlpha(float alpha, bool explicit_exempt=true)segNet
SetStream(cudaStream_t stream)tensorNet
tensorNet()tensorNetprotected
Usage()segNetinlinestatic
VisualizationFlags enum namesegNet
VisualizationFlagsFromStr(const char *str, uint32_t default_value=VISUALIZE_OVERLAY)segNetstatic
VISUALIZE_MASK enum valuesegNet
VISUALIZE_OVERLAY enum valuesegNet
~segNet()segNetvirtual
~tensorNet()tensorNetvirtual