zjygod

review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

SegNeXt

Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)

EPSANet

CPCANet

HiFuse

HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification

LIDC-IDRI-Toolbox-python

personal toolbox for lidc-idri dataset / lung cancer / nodule

PytorchDeepLearing

Meidcal Image Segmentation Pytorch Version

Tianchi-lung-nodule-detection-and-classification

天池肺结节检测与分类

MultiSectionCNN

[JBHI'18] A Lightweight Multi-Section CNN for Lung Nodule Classification and Malignancy Estimation

node-red-contrib-PN532

Driver for PN532 RFID Reader

libnfc

Platform independent Near Field Communication (NFC) library

ARM-web-server

web服务器移植进IMX6ULL开发板运行，可实现局域网读取传感器数据

SANet

SANet: A Slice-Aware Network for Pulmonary Nodule Detection

LSSANet

[Official Repo: MICCAI 2022] LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection

lung-image-analysis

A basic framework for pulmonary nodule detection and characterization in CT

I3DR-Net-Transfer-Learning

Implementation code for "Lung Nodule Detection and Classification from Thorax CT-Scan Using RetinaNet with Transfer Learning" (2020)

EmbeddedSoftwareEngineerInterview

嵌入式软件工程师笔试面试指南，主要收录笔试面试八股文。包括C/C++，计算机基础，操作系统，Linux驱动，Arm体系与架构，网络编程，大厂笔试面试题等。持续更新中~~有问题可以加我微信，LinuxDriverDev

embedded-notes

嵌入式linux软件开发、嵌入式linux驱动开发、c语言、单片机开发、IOT开发等面试要点记录

WebServer

C++ Linux WebServer服务器

TinyWebServer

:fire: Linux下C++轻量级WebServer服务器

WebServer

C++ Linux WebServer服务器

cppknowledge

HS-ResNet

HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network

CFENet

Comprehensive Feature Enhancement Module for Single-Shot Object Detector

bodyct-luna22-ismi-training-baseline

Baseline repo for LUNA22-ismi challenge

Learning-Statistical-Texture-for-Semantic-Segmentation

Pytorch code for CVPR2021 paper "Learning Statistical Texture for Semantic Segmentation"

Res2Net-PretrainedModels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

PytorchSSD

pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

ModelsGenesis

[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis