#人脸识别#PaddleDetection为基于飞桨PaddlePaddle的端到端目标检测套件，提供多种主流目标检测、实例分割、跟踪、关键点检测算法，配置化的网络模块组件、数据增强策略、损失函数等，推出多种服务器端和移动端工业级SOTA模型，并集成了模型压缩和跨平台高性能部署能力,帮助开发者更快更好完成端到端全开发流程。
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
翻译 - AdelaiDet是一个开源工具箱，用于执行多个实例级检测和识别任务。
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
翻译 - FCOS：完全卷积一阶段对象检测（ICCV'19）
#计算机科学# EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
翻译 - 开放世界实体分割
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据
SimpleAICV:pytorch training and testing examples.
ZeroTier One as Docker Image
Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)
icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors
Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"
Conditional Convolutions for Instance Segmentation, achives 37.1mAP on coco val
High-resolution Networks for the Fully Convolutional One-Stage Object Detection (FCOS) algorithm
#人脸识别#使用OpenCV部署SCRFD人脸检测，包含C++和Python两种版本的程序实现，本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。
fcos implementation in pytorch1.x
FCOS: Fully Convolutional One-Stage Object Detection.