171 Open source projects that are alternatives of or similar to vision-ml

Python ROS depth estimation from RGB image based on code from the paper "High Quality Monocular Depth Estimation via Transfer Learning"

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Edge Computer Vision Course

This app recognises 3 hand signs - fist, high five and victory hand [ rock, paper, scissors basically :) ] with live feed camera. It uses a HandSigns.mlmodel which has been trained using Custom Vision from Microsoft.

jBox is a jQuery plugin that makes it easy to create customizable tooltips, modal windows, image galleries and more.

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Сборная солянка полезных ссылок для QA/тестировщика. Ссылки будут постоянно пополняться.

CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

Implementation of ResMLP, an all MLP solution to image classification, in Pytorch

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Gihan Jayatilaka, Harshana Weligampola, Suren Sritharan, Pankayaraj Pathmanathan, Roshan Ragel and Isuru Nawinne, "Non-contact Infant Sleep Apnea Detection," 2019 14th Conference on Industrial and Information Systems (ICIIS), Kandy, Sri Lanka, 2019, pp. 260-265, doi: 10.1109/ICIIS47346.2019.9063269.

We're a small high-trust livelihood pod doing tech consulting within Enspiral.

A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)

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A lightweight I/O utility for the BrainVision data format, written in Python.

Extensive Automation server

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

APCA (Accessible Perceptual Contrast Algorithm) is a new method for predicting contrast for use in emerging web standards (WCAG 3) for determining readability contrast. APCA is derived form the SAPC (S-LUV Advanced Predictive Color) which is an accessibility-oriented color appearance model designed for self-illuminated displays.

OverlayController easily pop your custom view and provide optional transition animation. written in swift 5.0

[CVPR21] Visual Semantic Role Labeling for Video Understanding (https://arxiv.org/abs/2104.00990)

jQuery alert/modal/lightbox plugin

DroneDeploy Machine Learning Segmentation Benchmark

PhotonVision is the free, fast, and easy-to-use computer vision solution for the FIRST Robotics Competition.

🔥 The powerful and easiest way to implement modern material popup menu.

Computer Vision And Neural Network with Xamarin

高仿微信聊天界面长按弹框样式

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👁 Vision : Model 4: GoogLeNet : Image Classification

xxy xxy.js alert 移动端弹窗 弹窗 上拉加载 下拉刷新 移动端UI 轮播 banner

Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.

A program for controlling a micro-UAV for obstacle detection and collision avoidance using disparity mapping

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

A macOS app to parse face landmarks from a video for GANs training

AckBar is a very lightweight and customizable android library to display brief message to user.

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Official code for paper "Spatially Aware Multimodal Transformers for TextVQA" published at ECCV, 2020.

An All-MLP solution for Vision, from Google AI

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This app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.

This repository builds a product detection model to recognize products from grocery shelf images.

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TF 2 implementation Learning to Resize Images for Computer Vision Tasks (https://arxiv.org/abs/2103.09950v1).

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对PopupWindow常用API的简单封装，几行代码就搞定PopupWindow弹窗，使用Builder模式，链式调用，像使用AlertDialog 一样

CarLens - Recognize and Collect Cars

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ToolTipopupWordTV is an Open Source Android library that allows developers to easily open a popup with details by select a word from a textview.

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A curated collection of iOS 14 projects ranging from SwiftUI to ML, AR etc.

iOS and Android app built with Flutter and Firebase. Includes Firebase ML Vision, Firestore, and Storage

Can we predict the age and gender of someone given a picture of their face ?