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<img src="https://github.com/dusty-nv/jetson-inference/raw/master/docs/images/deep-vision-header.jpg" width="100%">
<p align="right"><sup><a href="docs/aux-image.md">Back</a> | <a href="README.md#hello-ai-world">Next</a> | </sup><a href="README.md#hello-ai-world"><sup>Contents</sup></a>
<br/>
<sup>Appendix</sup></p>

# Change Log

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

## July 19, 2019

* Python API support for imageNet, detectNet, and camera/display utilities</li>
* Python examples for processing static images and live camera streaming</li>
* Support for interacting with numpy ndarrays from CUDA</li>
* Onboard re-training of ResNet-18 models with PyTorch</li>
* Example datasets: 800MB Cat/Dog and 1.5GB PlantCLEF</li>
* Camera-based tool for collecting and labeling custom datasets</li>
* Text UI tool for selecting/downloading pre-trained models</li>
* New pre-trained image classification models (on 1000-class ImageNet ILSVRC)
* ResNet-18, ResNet-50, ResNet-101, ResNet-152</li>
* VGG-16, VGG-19</li>
* Inception-v4</li>

<br/>

* New pre-trained object detection models (on 90-class MS-COCO)
* SSD-Mobilenet-v1</li>
* SSD-Mobilenet-v2</li>
* SSD-Inception-v2</li>

<br/>

* API Reference documentation for C++ and Python</li>
* Command line usage info for all examples, run with --help</li>
* Output of network profiler times, including pre/post-processing</li>
* Improved font rasterization using system TTF fonts</li>


<p align="right">Back | <b><a href="docs/aux-image.md">Image Manipulation with CUDA</a></b>
<p align="center"><sup>© 2016-2020 NVIDIA | </sup><a href="README.md#hello-ai-world"><sup>Table of Contents</sup></a></p>

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