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CHANGELOG.md

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Change Log

Major updates and new features to this project will be listed in this document.

April 8, 2022

  • Added support for JetPack 5.0 and Jetson AGX Orin
  • Conditionally use NVIDIA V4L2-based hardware codecs when on JetPack 5.0 and newer
  • Minor bug fixes and improvements

August 3, 2021

August 31, 2020

  • Added initial support for Running in Docker Containers
  • Changed OpenGL behavior to show window on first frame
  • Minor bug fixes and improvements

July 15, 2020

note: API changes from this update are intended to be backwards-compatible, so previous code should still run.

Thanks to everyone from the forums and GitHub who helped to test these updates in advance!

October 3, 2019

  • Added new pre-trained FCN-ResNet18 semantic segmentation models:
Dataset Resolution CLI Argument Accuracy Jetson Nano Jetson Xavier
Cityscapes 512x256 fcn-resnet18-cityscapes-512x256 83.3% 48 FPS 480 FPS
Cityscapes 1024x512 fcn-resnet18-cityscapes-1024x512 87.3% 12 FPS 175 FPS
Cityscapes 2048x1024 fcn-resnet18-cityscapes-2048x1024 89.6% 3 FPS 47 FPS
DeepScene 576x320 fcn-resnet18-deepscene-576x320 96.4% 26 FPS 360 FPS
DeepScene 864x480 fcn-resnet18-deepscene-864x480 96.9% 14 FPS 190 FPS
Multi-Human 512x320 fcn-resnet18-mhp-512x320 86.5% 34 FPS 370 FPS
Multi-Human 640x360 fcn-resnet18-mhp-512x320 87.1% 23 FPS 325 FPS
Pascal VOC 320x320 fcn-resnet18-voc-320x320 85.9% 45 FPS 508 FPS
Pascal VOC 512x320 fcn-resnet18-voc-512x320 88.5% 34 FPS 375 FPS
SUN RGB-D 512x400 fcn-resnet18-sun-512x400 64.3% 28 FPS 340 FPS
SUN RGB-D 640x512 fcn-resnet18-sun-640x512 65.1% 17 FPS 224 FPS

July 19, 2019

  • Python API support for imageNet, detectNet, and camera/display utilities
  • Python examples for processing static images and live camera streaming
  • Support for interacting with numpy ndarrays from CUDA
  • Onboard re-training of ResNet-18 models with PyTorch
  • Example datasets: 800MB Cat/Dog and 1.5GB PlantCLEF
  • Camera-based tool for collecting and labeling custom datasets
  • Text UI tool for selecting/downloading pre-trained models
  • New pre-trained image classification models (on 1000-class ImageNet ILSVRC)
    • ResNet-18, ResNet-50, ResNet-101, ResNet-152
    • VGG-16, VGG-19
    • Inception-v4
  • New pre-trained object detection models (on 90-class MS-COCO)
    • SSD-Mobilenet-v1
    • SSD-Mobilenet-v2
    • SSD-Inception-v2
  • API Reference documentation for C++ and Python
    • Command line usage info for all examples, run with --help
    • Output of network profiler times, including pre/post-processing
    • Improved font rasterization using system TTF fonts

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