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qdet's Projects

hog_sse icon hog_sse

Implementation of HoG feature extractor that uses SSE instructions.

lfd-a-light-and-fast-detector icon lfd-a-light-and-fast-detector

LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.

libhv icon libhv

🔥 A network library similar to libevent and libuv, for developing TCP/UDP/HTTP/WebSocket client/server.

libonnx icon libonnx

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

mask-rcnn icon mask-rcnn

A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch

mica icon mica

a Pin tool for collecting microarchitecture-independent workload characteristics

mipp icon mipp

MIPP is a portable wrapper for SIMD instructions written in C++11. It supports NEON, SSE, AVX and AVX-512.

mspld-2018 icon mspld-2018

Few-Example Object Detection with Model Communication, T-PAMI 2018

object-proposals icon object-proposals

Repository containing wrapper to obtain various object proposals easily

objectness icon objectness

BING Objectness proposal estimator linux/mac/windows version implementation, runs at 1000 FPS. More in http://mmcheng.net/bing/ and also http://www.robots.ox.ac.uk/~szheng/DepthProposals.html

oicr icon oicr

Codes for our CVPR2017 paper "Multiple Instance Detection Network with Online Instance Classifier Refinement".

pelee icon pelee

Pelee: A Real-Time Object Detection System on Mobile Devices

pico-cnn icon pico-cnn

Lightweight C implementation of CNNs for Embedded Systems

range-v3 icon range-v3

Range library for C++14/17/20, basis for C++20's std::ranges

refinedet icon refinedet

Single-Shot Refinement Neural Network for Object Detection

rolo icon rolo

ROLO is short for Recurrent YOLO, aimed at simultaneous object detection and tracking

ron icon ron

RON: Reverse Connection with Objectness Prior Networks for Object Detection, CVPR 2017

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