YOLOV4运行在嵌入式设备上

Last update: Sep 09, 2021

Related tags

Overview

在嵌入式设备上实现YOLO V4 tiny

在嵌入式设备上实现YOLO V4 tiny
- 目录结构

目录结构

|-- YOLO V4 tiny
    |-- .gitignore
    |-- LICENSE
    |-- README.md
    |-- test.txt
    |-- train.py
    |-- train.txt
    |-- val.txt
    |-- yolo_anchors
    |-- .idea
    |   |-- .gitignore
    |   |-- misc.xml
    |   |-- modules.xml
    |   |-- vcs.xml
    |   |-- workspace.xml
    |   |-- YOLOV4TINY.iml
    |   |-- inspectionProfiles
    |       |-- profiles_settings.xml
    |-- nets
    |   |-- CSPdarknet53_tiny.py
    |   |-- yolov4_tiny.py
    |-- utils
    |   |-- utils.py
    |   |-- voc2yolo.py
    |   |-- YOLO_Dataset.py

yolo v4 tiny的学习参考了b站up主的视频，特此感谢。 up主的视频链接

Owner

Liu-Wei

GitHub Repository

Remote sensing change detection using PaddlePaddle

Change Detection Laboratory Developing and benchmarking deep learning-based remo

15 Sep 23, 2022

Code of U2Fusion: a unified unsupervised image fusion network for multiple image fusion tasks, including multi-modal, multi-exposure and multi-focus image fusion.

U2Fusion Code of U2Fusion: a unified unsupervised image fusion network for multiple image fusion tasks, including multi-modal (VIS-IR, medical), multi

129 Dec 11, 2022

This repository is for our paper Exploiting Scene Graphs for Human-Object Interaction Detection accepted by ICCV 2021.

SG2HOI This repository is for our paper Exploiting Scene Graphs for Human-Object Interaction Detection accepted by ICCV 2021. Installation Pytorch 1.7

10 Dec 20, 2022

Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert

Parameterized Hypercomplex Graph Neural Networks (PHC-GNNs) PHC-GNNs (Le et al., 2021): https://arxiv.org/abs/2103.16584 PHM Linear Layer Illustration

26 Aug 11, 2022

A python-image-classification web application project, written in Python and served through the Flask Microframework

A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and

19 Dec 12, 2022

Deep Reinforcement Learning for Keras.

Deep Reinforcement Learning for Keras What is it? keras-rl implements some state-of-the art deep reinforcement learning algorithms in Python and seaml

0 Dec 15, 2022

Yoga - Yoga asana classifier for python

Yoga Asana Classifier Description Hi welcome to my new deep learning project "Yo

35 Dec 12, 2022

Contrastive Language-Image Pretraining

CLIP [Blog] [Paper] [Model Card] [Colab] CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pair

11.5k Jan 08, 2023

EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale

EgonNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale Paper: EgoNN: Egocentric Neural Network for Point Cloud

19 Sep 20, 2022

Pip-package for trajectory benchmarking from "Be your own Benchmark: No-Reference Trajectory Metric on Registered Point Clouds", ECMR'21

Map Metrics for Trajectory Quality Map metrics toolkit provides a set of metrics to quantitatively evaluate trajectory quality via estimating consiste

31 Oct 28, 2022

PyTorch Implement for Path Attention Graph Network

SPAGAN in PyTorch This is a PyTorch implementation of the paper "SPAGAN: Shortest Path Graph Attention Network" Prerequisites We prefer to create a ne

38 Dec 28, 2022

Official PyTorch implementation of Joint Object Detection and Multi-Object Tracking with Graph Neural Networks

This is the official PyTorch implementation of our paper: "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks". Our project website and video demos are here.

443 Dec 06, 2022

ICCV2021 - A New Journey from SDRTV to HDRTV.

82 Dec 27, 2022

Taichi Course Homework Template

太极图形课S1-标题部分这个作业未来或将是你的开源项目，标题的内容可以来自作业中的核心关键词，让读者一眼看出你所完成的工作/做出的好玩demo 如果暂时未想好，起名时可以参考“太极图形课S1-xxx作业” 如下是作业（项目）展开说明的方法，可以帮大家理清思路，并且也对读者非常友好，请小伙伴们多多参

30 Nov 19, 2022

A sequence of Jupyter notebooks featuring the 12 Steps to Navier-Stokes

CFD Python Please cite as: Barba, Lorena A., and Forsyth, Gilbert F. (2018). CFD Python: the 12 steps to Navier-Stokes equations. Journal of Open Sour

2.6k Dec 30, 2022

Tooling for the Common Objects In 3D dataset.

CO3D: Common Objects In 3D This repository contains a set of tools for working with the Common Objects in 3D (CO3D) dataset. Download the dataset The

724 Jan 06, 2023

A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.

AMAZ3DSim AMAZ3DSim is a lightweight python-based 3D network multi-agent simulator. It uses a cell-based congestion model. It calculates risk, battery

13 Nov 04, 2022