zjj-2015 Goto Github PK

smart_construction

Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗

spacenet-three

Space Net Three Competition code

sscdnet

Semantic Scene Change Detection Network (CSCDNet + SSCDNet)

ssh

SSH: Single Stage Headless Face Detector

stanet

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

superpoint_graph

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

swin-transformer-object-detection

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorrt_pro

C++ library based on tensorrt integration

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

ternausnetv2

TernausNetV2: Fully Convolutional Network for Instance Segmentation

test_local

tf_facenet

facenet人脸检测与识别系统

tfusion

CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns

tianchi_competition_2017

天池大数据竞赛2017—广东政务数据创新大赛—智能算法赛

tianchi_countyagriculturalbrain_top1

TIANCHI天池 2019县域农业大脑AI挑战赛 1/1520

tpat

TensorRT Plugin Autogen Tool

tpu

Reference models and tools for Cloud TPUs.

trt-samples-for-hackathon-cn

Simple samples for TensorRT programming

tutorials

机器学习相关教程

tutorials-1

Some basic programming tutorials

unet_rsimage_multi-band_multi-class

keras遥感图像Unet语义分割(支持多波段&多类)

unetlstm

urban_change_detection

utilities

Packages intended to assist in the preprocessing of SpaceNet satellite imagery data corpus to a format that is consumable by machine learning algorithms.

video_obj

基于视频的目标检测算法研究

vue-admin-template

a vue2.0 minimal admin template

vue-managementplatform

vue-elementUI本项目的定位是后台管理系统，已经完成模块有用户管理、菜单管理、角色管理、公司管理、权限管理、支付配置

webcam_yolov3_jetson_tx_hikvision

多个网络摄像头进行拉流以及对象检测。平台使用Jetson TX2 (ARM architecture)，海康摄像头，对象检测采用YOLO v3模型。

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)