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Jetson Inference: Modules

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DNN Vision Library |

Modules

Here is a list of all modules:

[detail level 123]

| ▼DNN Vision Library (jetson-inference) | C++ runtime library for supporting deep vision neural network models and inferencing with TensorRT. Available network primitives currently include:
| | tensorNet | DNN abstract base class that provides TensorRT functionality underneath. These functions aren't typically accessed by end users unless they are implementing their own DNN class like imageNet or detectNet | | imageNet | Image recognition DNN (GoogleNet, AlexNet, ResNet) | | detectNet | Object detection DNN (SSD, DetectNet) | | segNet | Semantic segmentation DNN (FCN or Fully-Convolutional Networks) | | poseNet | Pose estimation DNN | | actionNet | Action/activity recognition DNN | | depthNet | Mono depth estimation from monocular images | | backgroundNet | Foreground/background segmentation and removal DNN | | Object Tracking | Object tracking used by detectNet | | Model Downloader | Utilities for automatically downloading pre-trained models | | ▼Utilities Library (jetson-utils) | Tools and utilities for video streaming, codecs, display, and CUDA processing | | Camera Capture | Camera capture and streaming for MIPI CSI and V4L2 devices (deprecated) | | Codec | Hardware-accelerated video encoder and decoder (H.264/H.265) using GStreamer | | Command-Line Parsing | Parsing of command line arguments, flags, and variables | | CSV Parsing | Text file parsing for Comma-Separated Value (CSV) formats, with user-defined delimiters beyond just commas, including spaces, tabs, or other symbols | | ▼CUDA | CUDA utilities and image processing kernels | | Color Mapping | Defines various colormaps and color mapping functions | | Color Conversion | Colorspace conversion functions for various YUV formats, RGB, BGR, Bayer, and grayscale | | Cropping | Crop an image to the specified region of interest (ROI) | | Drawing | Drawing basic 2D shapes using CUDA | | Error Checking | Error checking and logging macros | | Fonts | TTF font rasterization and image overlay rendering using CUDA | | Memory Management | Allocation of CUDA mapped zero-copy memory | | Normalization | Normalize the pixel intensities of an image between two ranges | | Overlay | Overlay images and vector shapes onto other images | | Pixel Filtering | CUDA device functions for sampling pixels with bilinear filtering | | Point Cloud | 3D point cloud processing and visualization | | Resize | Rescale an image to a different resolution | | Warping | Various image warps and matrix transforms | | Filesystem | Functions for listing files in directories and manipulating file paths | | Image Formats | Enumerations and helper functions for different types of image formats | | Image I/O | Loading and saving image files from disk | | Input | HID input devices including gamepad controllers, joysticks, and keyboard | | Logging | Message logging with a variable level of output and destinations | | Matrix | 3x3 matrix operations from mat33.h | | Multithreading | Mutex, events, threads, and process objects based on pthreads | | Networking | TCP/UDP sockets and IP address manipulation | | OpenGL | OpenGL textures and display window (X11/GLX) | | Time | Timestamping operations for measuring the timing of CPU code | | Video Streaming | VideoSource and videoOutput APIs for input and output video streams |

  • Generated on Tue Mar 28 2023 14:27:59 for Jetson Inference by 1.8.17