zbyuan

zbyuan

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zbyuan's repositories

pruning_yolov3

YOLOv3-training-prune

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oneflow-documentation

oneflow documentation

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PartialResidualNetworks

partial residual networks

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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

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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......

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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。

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Awesome-Pruning

A curated list of neural network pruning resources.

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benchmark_results

Visual Tracking Paper List

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centerNet-deep-sort

multi-people tracking (centerNet based person detector + deep sort algorithm with pytorch)

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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

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darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

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jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

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mAP

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

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Multitarget-tracker

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

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ncnn_106landmarks

face detection: retinaface, landmark: zqcnn, recognize: mobilefacenet, Based on ncnn

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Object-Detection-and-Tracking

ObjectDetection Two-stage (RCNN) vs One-stage (YOLO) Detectors and YOLOv3+Deep_SORT/SORT Object Tracking

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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

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reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

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Towards-Realtime-MOT

Joint Detection and Embedding for fast multi-object tracking

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tr

Free Offline OCR 离线的文本识别SDK

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Ultra-Light-Fast-Generic-Face-Detector-1MB

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

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Ultralight-SimplePose

Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img,

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yolox

More Than YOLO(v3, v4, v3-tiny, v4-tiny)

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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

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