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:rocket::rocket::rocket:NVIDIA TensorRT 加速推断教程!

Home Page: https://dataxujing.github.io/TensorRT_CV/index.html

License: Other

HTML 22.47% CSS 42.78% JavaScript 34.75%
tensorrt tensorrt-inference-server cv

tensorrt_cv's Introduction

TensorRT的介绍及应用

**:fire: :fire: :fire: 我们参加NVIDIA和阿里云共同举办的TensorRT异构计算比赛,喜提第三名(二等奖): 附开源地址:https://github.com/DataXujing/TensorRT-DETR **


✨✨✨感谢小伙伴的关注, 源码奉上!!!✨✨✨

✅: 链接:https://pan.baidu.com/s/1ZJy9Vkeo6y1w3icknSxLlA 提取码:usxg


Xu Jing

本项目介绍了深度学习中TensorRT对TensorFlow,ONNX,Caffe,Pytorch等框架的推断加速,TensorRT提供了C++ API和Python API,它解决了GPU模型推断加速的优化瓶颈;目前TensorRT的版本为7.x.x,TensorRT并不对以上框架的所有操作均支持。

在线slide的地址:https://dataxujing.github.io/TensorRT_CV/index.html#slide=1

在线B站视频教程: https://www.bilibili.com/video/av86802077

内容:

  1. What is TensorRT
  2. How Do I Get TensorRT?
  3. Working with TensorRT Using the Python API
  4. An Object Detection Model: YOLO v3 with TensorRT (Example 1)
  5. A Classification Model: ResNet50 with TensorRT (Example 2)

由于源码占用空间较大,请索要源码的小伙伴发邮件到[email protected],我会在看到的第一时间回复大家,谢谢支持和理解!

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