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行人检测与跟踪(hog+svm kcf)

admin

react+koa实现登陆、聊天、留言板功能后台

capture_reid

可基于摄像头实时监控或录制的视频或静态图片进行行人检测(lffd)/跟踪(deep sort)和行人重识别(reid)。

cornernet

tensorflow

cyclegan

Tensorflow implementation of CycleGAN

cyclegan-tensorflow

An implementation of CycleGan using TensorFlow

cyclegan-tensorflow-1

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deep_sort_yolov3

yolo做行人检测+deep-sort做匹配，端对端做多目标跟踪

deepsort-rfbnet

detection

基于视频的行人流量密度检测

easy-faster-rcnn.pytorch

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

fairmot

A simple baseline for one-shot multi-object tracking

fastai-ml-dl-notes-zh

:book: [译] fast.ai 机器学习和深度学习中文笔记

faster-rcnn

My implementation of Faster-RCNN （Pytorch）

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

faster-rcnn_tf

Faster-RCNN in Tensorflow

faster_rcnn_pytorch

Faster RCNN with PyTorch

fcn-instances-pytorch

PyTorch Implementation of Fully Convolutional Networks.

fcn-pytorch-easiest

trying to be the most easiest and just get-to-use pytorch implementation of FCN (Fully Convolutional Networks)

go-gin-api

基于 Gin 进行模块化设计的 API 框架，封装了常用功能，使用简单，致力于进行快速的业务研发。比如，支持 cors 跨域、jwt 签名验证、zap 日志收集、panic 异常捕获、trace 链路追踪、prometheus 监控指标、swagger 文档生成、viper 配置文件解析、gorm 数据库组件、gormgen 代码生成工具、graphql 查询语言、errno 统一定义错误码、gRPC 的使用、cron 定时任务 等等。

golearn

学习go语言

image-processing-learning

Thie is a profile record the codes when i learning the image processing.

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

java_practice

Learn the Java language!

learn_html_and_react

learn_html_and_react

learngit

学习git的使用

mask-rcnn

A PyTorch implementation of the architecture of Mask RCNN

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

minecraft-one-week-challenge

I challenged myself to see if I could create a voxel game (Minecraft-like) in just one week using C++ and OpenGL, and here is the result