452 Open source projects that are alternatives of or similar to blindassist-ios

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Pytorch code for semantic segmentation using ERFNet

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

Add bisenetv2. My implementation of BiSeNet

Switchable Normalization for semantic image segmentation and scene parsing.

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

A sentence segmenter that actually works!

Node util for controlling SOMA smart shade via MQTT or HTTP

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Web application for image labeling and segmentation

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Perception toolkit for sim2real training and validation

A Fast and Open Source Autonomous Perception System.

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Emailing System for visually impaired persons

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

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TF2 implementation of PointNet for segmenting point clouds

Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0

Flood-Filling Networks for instance segmentation in 3d volumes.

( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

A PyTorch implementation of PointRend: Image Segmentation as Rendering

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

Intensity-based_Lidar_Camera_Calibration

MetalCity - a procedural night city landscape generator

Tunable U-Net implementation in PyTorch

DroneDeploy Machine Learning Segmentation Benchmark

Fast (aimed to "real time") Portrait Segmentation on mobile phone

An audio game engine written in python

Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

Implementation details for EDANet

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Chaum's Blind Signatures

Python version of Sudachi, a Japanese tokenizer.

The Geometry and Image-Based Bioengineering add-On for MATLAB

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Autonomous navigation for blind people

PyTorch re-implementation of DeepMask

MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit

Sparse and structured neural attention mechanisms

TensorFlow implementation of ENet

Deep Learning for Seismic Imaging and Interpretation

PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

A curated list of dedicated resources and applications

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Render diagrams to Braille

Camouflaged Object Detection, CVPR 2020 (Oral & Reported by the New Scientist Magazine)

A collection of dataset loaders

3D Graph Neural Networks for RGBD Semantic Segmentation

This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.

📷 Reactive python package for managing, creating and visualizing different deep-learning image annotation formats

Papers and Datasets about Point Cloud.

Capstone Project: Assist the blind in moving around safely by warning them of impending obstacles using depth sensing, computer vision, and tactile glove feedback.