This project implements "virtual speed" from heart rate monito

Last update: May 20, 2022

Related tags

Overview

ANT+ Virtual Stride Based Speed and Distance Monitor

Overview

This project implements "virtual speed" from heart rate monitor. The calculated speed is broadcasted as such on ANT+ (using python-ant). Based on vpower by Darren Hague.

Even if the receiver app runs on the same computer, you will need two ANT+ sticks, because one device can't be used by two apps simultaneously.

Supported devices:

ANTUSB2 Stick (0fcf:1008: Dynastream Innovations, Inc.)
ANTUSB-m Stick (0fcf:1009: Dynastream Innovations, Inc.)

Warning: the Cycplus ANT Stick is not compatible, even though it uses the same Vendor ID and Product ID (0fcf:1008) as the ANTUSB2 Stick.

Running on Windows

Download the standalone executable
Install the libusb-win32 driver for the ANT+ device (if not already installed), it can be easily done using Zadig
- Options - List All Devices
- Select ANT+ stick
- Select libusb-win32 driver and click Replace Driver
Run the downloaded executable

Running from source code (Windows, Linux, macOS)

Install Python 3 if not already installed
- Check "Add Python to PATH" or use the full path in the commands below
Clone or download this repo
CD to the repo directory and run pip install -r requirements.txt
- On Linux and macOS use pip3 instead of pip
[Optional] Run pip install pywin32 (Windows only, to stop the ANT node on terminal window close)
Run python vspeed.py (or double click vspeed.py if you installed the Python Launcher)
- On Linux and macOS use python3 instead of python

AdamW optimizer and cosine learning rate annealing with restarts

AdamW optimizer and cosine learning rate annealing with restarts This repository contains an implementation of AdamW optimization algorithm and cosine

133 Dec 20, 2022

Jigsaw Rate Severity of Toxic Comments

66 Nov 30, 2022

Model search is a framework that implements AutoML algorithms for model architecture search at scale

Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale. It aims to help researchers speed up their exploration process for finding the right model architecture for their classification problems (i.e., DNNs with different types of layers).

3.2k Dec 31, 2022

Implements Gradient Centralization and allows it to use as a Python package in TensorFlow

Gradient Centralization TensorFlow This Python package implements Gradient Centralization in TensorFlow, a simple and effective optimization technique

101 Nov 1, 2022

Implements MLP-Mixer: An all-MLP Architecture for Vision.

MLP-Mixer-CIFAR10 This repository implements MLP-Mixer as proposed in MLP-Mixer: An all-MLP Architecture for Vision. The paper introduces an all MLP (

51 Jan 4, 2023

QueryFuzz implements a metamorphic testing approach to test Datalog engines.

Datalog is a popular query language with applications in several domains. Like any complex piece of software, Datalog engines may contain bugs. The mo

34 Sep 10, 2022

This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent Convolutional Networks.

Orientation independent Möbius CNNs This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of

59 Dec 9, 2022

This framework implements the data poisoning method found in the paper Adversarial Examples Make Strong Poisons

Adversarial poison generation and evaluation. This framework implements the data poisoning method found in the paper Adversarial Examples Make Strong

31 Nov 1, 2022

Implements an infinite sum of poisson-weighted convolutions

An infinite sum of Poisson-weighted convolutions Kyle Cranmer, Aug 2018 If viewing on GitHub, this looks better with nbviewer: click here Consider a v

26 Dec 7, 2022

This project implements "virtual speed" from heart rate monito

Related tags

Overview

ANT+ Virtual Stride Based Speed and Distance Monitor

Overview

Running on Windows

Running from source code (Windows, Linux, macOS)

You might also like...

AdamW optimizer and cosine learning rate annealing with restarts

Jigsaw Rate Severity of Toxic Comments

Model search is a framework that implements AutoML algorithms for model architecture search at scale

Implements Gradient Centralization and allows it to use as a Python package in TensorFlow

Implements MLP-Mixer: An all-MLP Architecture for Vision.

QueryFuzz implements a metamorphic testing approach to test Datalog engines.

This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent Convolutional Networks.

This framework implements the data poisoning method found in the paper Adversarial Examples Make Strong Poisons

Implements an infinite sum of poisson-weighted convolutions

Releases(v0.1)

v0.1(Jan 30, 2022)

Owner

PyTorch implementation of the YOLO (You Only Look Once) v2

Accurate Phylogenetic Inference with Symmetry-Preserving Neural Networks

Human motion synthesis using Unity3D

Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021

Training Cifar-10 Classifier Using VGG16

[ICCV 2021] Official Pytorch implementation for Discriminative Region-based Multi-Label Zero-Shot Learning SOTA results on NUS-WIDE and OpenImages

Additional functionality for use with fastai’s medical imaging module

Post-training Quantization for Neural Networks with Provable Guarantees

REGTR: End-to-end Point Cloud Correspondences with Transformers

Degree-Quant: Quantization-Aware Training for Graph Neural Networks.

一个运行在 𝐞𝐥𝐞𝐜𝐕𝟐𝐏 或 𝐪𝐢𝐧𝐠𝐥𝐨𝐧𝐠 等定时面板的签到项目

JupyterNotebook - C/C++, Javascript, HTML, LaTex, Shell scripts in Jupyter Notebook Also run them on remote computer

Pytorch implementation of paper: "NeurMiPs: Neural Mixture of Planar Experts for View Synthesis"

This is the implementation of "SELF SUPERVISED REPRESENTATION LEARNING WITH DEEP CLUSTERING FOR ACOUSTIC UNIT DISCOVERY FROM RAW SPEECH" submitted to ICASSP 2022

Hand Gesture Volume Control is AIML based project which uses image processing to control the volume of your Computer.

Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2

N-gram models- Unsmoothed, Laplace, Deleted Interpolation

existing and custom freqtrade strategies supporting the new hyperstrategy format.

Pytorch version of SfmLearner from Tinghui Zhou et al.