zbyuan's repositories
pruning_yolov3
YOLOv3-training-prune
oneflow-documentation
oneflow documentation
PartialResidualNetworks
partial residual networks
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
A-Light-and-Fast-Face-Detector-for-Edge-Devices
A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......
AoE
AoE (AI on Edge) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。
Awesome-Pruning
A curated list of neural network pruning resources.
benchmark_results
Visual Tracking Paper List
centerNet-deep-sort
multi-people tracking (centerNet based person detector + deep sort algorithm with pytorch)
CS-Notes
:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计
darknet_ros
YOLO ROS: Real-Time Object Detection for ROS
jetson-inference
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Multitarget-tracker
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
ncnn_106landmarks
face detection: retinaface, landmark: zqcnn, recognize: mobilefacenet, Based on ncnn
Object-Detection-and-Tracking
ObjectDetection Two-stage (RCNN) vs One-stage (YOLO) Detectors and YOLOv3+Deep_SORT/SORT Object Tracking
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
reid-strong-baseline
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Towards-Realtime-MOT
Joint Detection and Embedding for fast multi-object tracking
Ultra-Light-Fast-Generic-Face-Detector-1MB
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
Ultralight-SimplePose
Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img,
yolox
More Than YOLO（v3, v4, v3-tiny, v4-tiny）
ZQCNN
一款比mini-caffe更快的Forward库，觉得好用请点星啊，400星公布快速人脸检测模型，500星公布106点landmark，600星公布人头检测模型，700星公布人脸检测套餐（六种pnet,两种rnet随意混合使用满足各种速度/精度要求），800星公布更准的106点模型
