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Neo's Projects

2016_person_re-id icon 2016_person_re-id

TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification

996.icu icon 996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

aptly icon aptly

aptly - Debian repository management tool

aurix_code_examples icon aurix_code_examples

This repository contains code example projects for the AURIX™ Development Studio.

battery-monitor icon battery-monitor

A utility tool, notifies user about charging, discharging and not charging state of the battery on Linux.

bmi088 icon bmi088

Arduino library for communicating with the Bosch BMI088 6 axis IMU

c3d icon c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe-model icon caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

caffe-yolov3 icon caffe-yolov3

A real-time object detection framework of Yolov3/v4 based on caffe

can-utils icon can-utils

Linux-CAN / SocketCAN user space applications

ccnn icon ccnn

Counting CNN and Hydra CNN

cfnet icon cfnet

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

ch341ser_linux icon ch341ser_linux

nodemcu esp8266 serial linux driver with latest kernel support ubuntu 16.04

coco2voc icon coco2voc

coco dataset 2017 to voc format, then convert to lmdb

cpu-stress-tester icon cpu-stress-tester

a little linux CLI tool for cpu stress testing and temperature monitoring implemented in C/C++ and x86 assembly

crowd-counting-scnn icon crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

crowdcount-cascaded-mtl icon crowdcount-cascaded-mtl

Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)

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