关于在Jetson TX2跑的那些深度学习的例子

Lady我总结了NVIDIA官方论坛推荐的几个在Jetson TX2跑的例子/教程，供各小主儿们学习。

注意TensorRT的掌握！

1

这是一个很经典的教程：教您如何在台式机上安装DIGITS，如何在台式机上训练，然后如何在Jetson TX2上做推理

Table of Contents

• DIGITS Workflow
• System Setup
• Building from Source on Jetson
• Classifying Images with ImageNet
  • Using the Console Program on Jetson
  • Running the Live Camera Recognition Demo
  • Re-training the Network with DIGITS
  • Downloading Image Recognition Dataset
  • Customizing the Object Classes
  • Importing Classification Dataset into DIGITS
  • Creating Image Classification Model with DIGITS
  • Testing Classification Model in DIGITS
  • Downloading Model Snapshot to Jetson
  • Loading Custom Models on Jetson
• Locating Object Coordinates using DetectNet
  • Detection Data Formatting in DIGITS
  • Downloading the Detection Dataset
  • Importing the Detection Dataset into DIGITS
  • Creating DetectNet Model with DIGITS
  • Testing DetectNet Model Inference in DIGITS
  • Downloading the Model Snapshot to Jetson
  • DetectNet Patches for TensorRT
  • Processing Images from the Command Line on Jetson
  • Multi-class Object Detection Models
  • Running the Live Camera Detection Demo on Jetson
• Image Segmentation with SegNet
  • Downloading Aerial Drone Dataset
  • Importing the Aerial Dataset into DIGITS
  • Generating Pretrained FCN-Alexnet
  • Training FCN-Alexnet with DIGITS
  • Testing Inference Model in DIGITS
  • FCN-Alexnet Patches for TensorRT
  • Running Segmentation Models on Jetson

Lady我觉得很适合高校教师用这个写课件开设深度学习相关课程

链接地址：https://github.com/dusty-nv/jetson-inference/blob/master/README.md#table-of-contents

2

不少用户也反应怎么进行TensorRT的编程。这个教程可以看看：

TensorFlow->TensorRT Image Classification

Table of Contents

• Model overview
• Setup
• Download models and create frozen graphs
• Convert frozen graph to TensorRT engine
• Execute TensorRT engine
• Benchmark all models

链接地址：https://github.com/NVIDIA-Jetson/tf_to_trt_image_classification

3

一个老外写的blog:

Trying out TensorRT on Jetson TX2

链接：https://jkjung-avt.github.io/tensorrt-cats-dogs/

他还写了不少教程，大家都可以仔细阅读

4

这个人脸识别的DEMO也是有用到深度学习和TensorRT哟

在Jetson TX2上跑个人脸识别小程序

链接地址：https://github.com/AastaNV/Face-Recognition

想想是否可以做个办公室考勤系统？

5

ChatBot: Use TensorRT to Inference a TensorFlow Model

展示了如何利用TensorRT来加速Jetson上的TensorFlow推断

链接地址：https://github.com/AastaNV/ChatBot

6

NV Deepstream SDK 是一个不错的工具，这个SDK借助NVIDIA Tesla GPU和Jetson 的硬件特性（包括卓越的解码性能，通过降低精度进行高速推理以及低功耗），帮助开发人员快速构建高效、高性能的视频分析应用程序。

建议大家跑一跑，感受一下，这个SDK也是有用到TensorRT。

再教一招NVIDIA Jetson TX2上的骚操作