526 Open source projects that are alternatives of or similar to Max Image Segmenter Web App

A photo OCR project aims to output DMS messages contained in sign structure images.

Magic, madness, heaven, sin

This is a new web-based photo management application. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, location awareness, color analysis and other ML algorithms.

High-performance image manipulation for web servers. Includes imageflow_server, imageflow_tool, and libimageflow

White Blood Cell Image Segmentation Using Deep Convolution Neural Networks

Contrast Enhancement Techniques for low-light images

CRF-RNN Keras/Tensorflow version

A JavaScript implementation of a image to Ascii code

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

Deep Learning Computer Vision Algorithms for Real-World Use

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Medical image processing in Python

🏰 Sketch- and image-based system for 3D representation and documentation of cultural heritage sites

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

Neural networks training pipeline based on PyTorch

Descriptive Deep Learning

Code for deep generative prior (ECCV2020 oral)

Keras package for region-based convolutional neural networks (RCNNs)

Cloudinary Angular client library

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

Segmentation models with pretrained backbones. PyTorch.

In this code we demonstrate how a simple Spring Boot application can be deployed on top of Kubernetes. This application, Office Space, mimicks the fictitious app idea from Michael Bolton in the movie "Office Space".

🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research which are very important. 🐋

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

A curated list of awesome links and software libraries that are useful for robots.

Run a Jupyter Notebook to detect, track, and count cars in a video using Maximo Visual Insights (formerly PowerAI Vision) and OpenCV

This application is designed for the effective interaction between patients and doctors

League of legends bot is a pixel bot for League Of Legends 10.19, written in C# .NET using image processing , and dependency injection (Pattern Scripting)

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

AI for GNU Image Manipulation Program

Istio is an open platform that provides a uniform way to connect, manage, and secure microservices. In this code we show how we can enable your microservices with advanced traffic management, routing and tracing capabilities leveraging Istio

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Screen{shot,cast} and perform ImageOps on the command line 🌱 🏞️

Catalyst.Segmentation

some loss functions of image segmentation

Cloudinary NPM for node.js integration

Implementation of FCN (8/16/32) in Tensorflow. 🌀 在TensorFlow框架下实现 FCN (全卷积神经网络) 。

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Official code for ResUNetplusplus for medical image segmentation (TensorFlow implementation) (IEEE ISM)

Webassembly compilation of https://github.com/ImageMagick/ImageMagick & samples

A server and mobile app to send pictures of vehicle damage to IBM Watson Visual Recognition for classification

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

👩 Library for image processing

Pytorch implementation of MixNMatch

Simple app to extract text from pictures using Tesseract

React components that utilize Cloudinary functionality

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

Old repo of the node-based image editor. See https://github.com/GimelStudio/GimelStudio for the next generation of Gimel Studio 🚀

PyTorch implementation of UNet++ (Nested U-Net).

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

A Jupyter notebook that uses the Watson Visual Recognition and Natural Language Understanding services to enrich Facebook Analytics and uses Cognos Dashboard Embedded to explore and visualize the results in Watson Studio

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

A Pixel Art Editor

Cool Vision projects

The Web Framework for Flashcards