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awesome-human-activity-recognition

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

awesome-image-distortion-correction

A curated list of resources on handling Rolling Shutter effects and Radial Distortions

awesome-slam

A curated list of awesome SLAM tutorials, projects and communities.

awesome-video-stabilization

A curated list of video stabilization methods

benchmark

A microbenchmark support library

box2d

Box2D is a 2D physics engine for games

cacnet-pytorch

Unofficial PyTorch implementation of "Composing Photos Like a Photographer"

camera-calibration

catch2

A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)

clash_for_windows_pkg

A Windows/macOS GUI based on Clash

cxxopts

Lightweight C++ command line option parser

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

darknet2caffe

Convert darknet weights to caffemodel

etl

Embedded Template Library

fast-scnn-pytorch

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network

finger-detection-and-tracking

Finger Detection and Tracking using OpenCV and Python

grt

gesture recognition toolkit

gyroflow

Video stabilization using gyroscope data

hake

HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)

handmovementtracking

A simple hand movement tracking module for humans ✍️

imagetools

这是一款图像相关的工具软件，扩展性好。目前集成有镜头计算器、抖动测试工具、看图工具、RAW图编辑（ISP算法的实现）、PQtools直接生成代码、多视频对比等功能。可以方便的进行后期算法的验证

imgui

Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

kalibr

The Kalibr visual-inertial calibration toolbox

lv_port_pc_vscode

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

mnn

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

mobilenet-yolo

A caffe implementation of MobileNet-YOLO detection network

mobilenet-yolo-1

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire: