PyTorch 1.0 inference in C++ on Windows10 platforms

Related tags

Deep Learningpytorch-inference
Overview

Serving PyTorch Models in C++ on Windows10 platforms

Dynamic graph

How to use

Prepare Data

examples/data/train/

	- 0
	- 1
	  .
	  .
	  .
	- n

examples/data/test/

	- 0
	- 1
	  .
	  .
	  .
	- n

Train Model

cd examples && python train.py

Transform Model

cd examples && python transform_model.py

Test Model

cd makefile/pytorch
mkdir build && cd build && cmake -A x64 ..

or

mkdir build && cd build && cmake -G "Visual Studio 15 2017 Win64" ..

set Command Arguments -> ..\..\..\examples\checkpoint ..\..\..\examples\images
set Environment -> path=%path%;../../../thirdparty/libtorch/lib;../../../thirdparty/opencv/build/x64/vc15/bin;

Test CUDA Softmax

cd makefile/cuda
mkdir build && cd build && cmake -A x64 ..

or

mkdir build && cd build && cmake -G "Visual Studio 15 2017 Win64" ..

Inference onnx model

cd makefile/tensorRT/classification
mkdir build && cd build && cmake -A x64 ..

or

mkdir build && cd build && cmake -G "Visual Studio 15 2017 Win64" ..
set Environment -> path=%path%;../../../../thirdparty/TensorRT/lib;

Inference caffe model for faster-rcnn

cd makefile/tensorRT/detection
mkdir build && cd build && cmake -A x64 ..

or

mkdir build && cd build && cmake -G "Visual Studio 15 2017 Win64" ..
set Environment -> path=%path%;../../../../thirdparty/TensorRT/lib;

download VGG16_faster_rcnn_final.caffemodel

Thirdparty

thirdparty/
	- libtorch  
	- opencv 
	- CUDA
	- TensorRT

download thirdparty from here.

Docker

docker pull zccyman/deepframe
nvidia-docker run -it --name=mydocker zccyman/deepframe /bin/bash
cd workspace && git clone https://github.com/zccyman/pytorch-inference.git

Environment

  • Windows10
  • VS2017
  • CMake3.13
  • CUDA10.0
  • CUDNN7.3
  • Pyton3.5
  • ONNX1.1.2
  • TensorRT5.0.1
  • Pytorch1.0
  • Libtorch
  • OpenCV4.0.1

Todo List

  • train and transform pytorch model

  • multi-batch inference pytorch model in C++

  • cpu and gpu softmax

  • transform pytorch model to ONNX model, and inference onnx model using tensorRT

  • inference caffe model for faster-rcnn using tensorRT

  • build classification network

  • compress pytorch model

  • object detection pytorch inference using C++ on Window platforms

Notes

  • "torch.jit.trace" doesn’t support nn.DataParallel so far.

  • TensorRT doesn’t supports opset 7 above so far, but pyTorch ONNX exporter seems to export opset 9.

Acknowledgement

Owner
Henson
Henson
GitHub Repository
Garbage classification using structure data.

垃圾分类模型使用说明 1.包含以下数据文件 文件 描述 data/MaterialMapping.csv 物体以及其归类的信息 data/TestRecords 光谱原始测试数据 CSV 文件 data/TestRecordDesc.zip CSV 文件描述文件 data/Boundaries.cs

wenqi 1 Dec 10, 2021
Clean and readable code for Decision Transformer: Reinforcement Learning via Sequence Modeling

Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym

Nikhil Barhate 104 Jan 06, 2023
[ICCV '21] In this repository you find the code to our paper Keypoint Communities

Keypoint Communities In this repository you will find the code to our ICCV '21 paper: Keypoint Communities Duncan Zauss, Sven Kreiss, Alexandre Alahi,

Duncan Zauss 262 Dec 13, 2022
Distilled coarse part of LoFTR adapted for compatibility with TensorRT and embedded divices

Coarse LoFTR TRT Google Colab demo notebook This project provides a deep learning model for the Local Feature Matching for two images that can be used

Kirill 46 Dec 24, 2022
Vector.ai assignment

fabio-tests-nisargatman Low Level Approach: ###Tables: continents: id*, name, population, area, createdAt, updatedAt countries: id*, name, population,

Ravi Pullagurla 1 Nov 09, 2021
Towards Long-Form Video Understanding

Towards Long-Form Video Understanding Chao-Yuan Wu, Philipp Krähenbühl, CVPR 2021 [Paper] [Project Page] [Dataset] Citation @inproceedings{lvu2021,

Chao-Yuan Wu 69 Dec 26, 2022
Codes for CVPR2021 paper "PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization"

PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization (CVPR 2021) This is the official implementation of PW

Intelligent Robotics and Machine Vision Lab 42 Dec 18, 2022
A simple program for training and testing vit

Vit This is a simple program for training and testing vit. Key requirements: torch, torchvision and timm. Dataset I put 5 categories of the cub classi

xiezhenyu 2 Oct 11, 2022
(NeurIPS 2021) Pytorch implementation of paper "Re-ranking for image retrieval and transductive few-shot classification"

SSR (NeurIPS 2021) Pytorch implementation of paper "Re-ranking for image retrieval and transductivefew-shot classification" [Paper] [Project webpage]

xshen 29 Dec 06, 2022
GBIM(Gesture-Based Interaction map)

手势交互地图 GBIM(Gesture-Based Interaction map)，基于视觉深度神经网络的交互地图，通过电脑摄像头观察使用者的手势变化，进而控制地图进行简单的交互。网络使用PaddleX提供的轻量级模型PPYOLO Tiny以及MobileNet V3 small，使得整个模型大小约10MB左右，即使在CPU下也能快速定位和识别手势。

8 Feb 10, 2022
Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.

Isaac ROS Visual Odometry This repository provides a ROS2 package that estimates stereo visual inertial odometry using the Isaac Elbrus GPU-accelerate

NVIDIA Isaac ROS 343 Jan 03, 2023
Rotation-Only Bundle Adjustment

ROBA: Rotation-Only Bundle Adjustment Paper, Video, Poster, Presentation, Supplementary Material In this repository, we provide the implementation of

Seong 51 Nov 29, 2022
GND-Nets (Graph Neural Diffusion Networks) in TensorFlow.

GNDC For submission to IEEE TKDE. Overview Here we provide the implementation of GND-Nets (Graph Neural Diffusion Networks) in TensorFlow. The reposit

Wei Ye 3 Aug 08, 2022
A new play-and-plug method of controlling an existing generative model with conditioning attributes and their compositions.

Viz-It Data Visualizer Web-Application If I ask you where most of the data wrangler looses their time ? It is Data Overview and EDA. Presenting "Viz-I

NVIDIA Research Projects 66 Jan 01, 2023
In the case of your data having only 1 channel while want to use timm models

timm_custom Description In the case of your data having only 1 channel while want to use timm models (with or without pretrained weights), run the fol

2 Nov 26, 2021
PassAPI is a password generator in hash format and fully developed in Python, with the aim of teaching how to handle and build

simple, elegant and safe Introduction PassAPI is a password generator in hash format and fully developed in Python, with the aim of teaching how to ha

Johnsz 2 Mar 02, 2022
PyTorch implementation of the ideas presented in the paper Interaction Grounded Learning (IGL)

Interaction Grounded Learning This repository contains a simple PyTorch implementation of the ideas presented in the paper Interaction Grounded Learni

Arthur Juliani 4 Aug 31, 2022
Combinatorial model of ligand-receptor binding

Combinatorial model of ligand-receptor binding The binding of ligands to receptors is the starting point for many import signal pathways within a cell

Mobolaji Williams 0 Jan 09, 2022
This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization

Spherical Gaussian Optimization This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization. This code has b

41 Dec 14, 2022
Efficient Lottery Ticket Finding: Less Data is More

The lottery ticket hypothesis (LTH) reveals the existence of winning tickets (sparse but critical subnetworks) for dense networks, that can be trained in isolation from random initialization to match

VITA 20 Sep 04, 2022