satoshirobatofujimoto Goto Github PK

whill-sdk-arduino

WHILL Model CR SDK for Arduino

whill_control_system_protocol_specification

Protocol Specification for WHILL Model CR

white-box-cartoonization

Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”

windows-application-development-cookbook

The repository for this book is published by Packt

windows-machine-learning

Windows Machine Learning

windows-remote-arduino-samples

Samples for Windows Remote Arduino

windows-universal-samples

API samples for the Universal Windows Platform.

windowsdeviceportalwrapper

A client library that wraps the Windows Device Portal REST APIs.

windowsmldemo_hololens_unity

This Repository is WindowsML demo(ObjectDetection) with Unity in HoloLens

windowsmldemo_paintrecognition

This Repository is WindowsML demo in HoloLens

windowutilfor360webcam

サンワダイレクトの360度Webカメラ(400-CAM084)のウィンドウをOpenCVで分割するプログラム

wireframe

woa-installer

The tool that will help you install Windows ARM64 with ease!

worldexplorer

A Hololens application, inspired by MapzenGo, to render 3D worlds as hologram.

x360ce

Primary repository for the x360ce library, front-end and tools.

xamappcentersample2018

xamarin.forms.behaviorspack

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

xmr-stak

Unified All-in-one Monero miner

xmr-stak-cpu

Monero CPU miner

xrlinerenderer

An XR-Focused line renderer that mimics rendering with 3d capsules while only using two quads worth of geometry.

yet-another-anime-segmenter

Instance segmentation for anime characters based on CondInst

yoga-pose-estimation

Model to classify yoga pose type and estimate joint positions of a person from an image

yoga-pose-estimation-app

This is a Yoga Pose Estimation App which can be able to detect the yoga pose in real time by using posenet and KNN Classifier. Here the dataset used is custom data set which consists of 3 videos for representing 3 different postures. It is deployed in heroku. One Thing to be noted i.e this will work correctly for all mobile and edge devices.

yolact

A simple, fully convolutional model for real-time instance segmentation.

yolact_edge

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

yolo3-4-py

A Python wrapper on Darknet. Compatible with YOLO V3.

yolo3d-yolov4-pytorch

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

yolopv2

YOLOPv2: Better, Faster, Stronger for Panoptic driving Perception

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)