All Projects → BlindAssist → blindassist-ios

BlindAssist / blindassist-ios

Licence: other
BlindAssist iOS app

Programming Languages

swift
15916 projects
c
50402 projects - #5 most used programming language
objective c
16641 projects - #2 most used programming language
shell
77523 projects
ruby
36898 projects - #4 most used programming language

Projects that are alternatives of or similar to blindassist-ios

Deeplab V3 Plus Cityscapes
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).
Stars: ✭ 121 (+255.88%)
Mutual labels:  segmentation, cityscapes
Erfnet pytorch
Pytorch code for semantic segmentation using ERFNet
Stars: ✭ 304 (+794.12%)
Mutual labels:  segmentation, cityscapes
LightNet
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Stars: ✭ 710 (+1988.24%)
Mutual labels:  segmentation, cityscapes
Bisenet
Add bisenetv2. My implementation of BiSeNet
Stars: ✭ 589 (+1632.35%)
Mutual labels:  segmentation, cityscapes
Deeplabv3 Plus
Tensorflow 2.3.0 implementation of DeepLabV3-Plus
Stars: ✭ 32 (-5.88%)
Mutual labels:  segmentation, cityscapes
Lightnet
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Stars: ✭ 698 (+1952.94%)
Mutual labels:  segmentation, cityscapes
Efficient Segmentation Networks
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.)
Stars: ✭ 579 (+1602.94%)
Mutual labels:  segmentation, cityscapes
Switchnorm segmentation
Switchable Normalization for semantic image segmentation and scene parsing.
Stars: ✭ 47 (+38.24%)
Mutual labels:  segmentation, cityscapes
Hrnet Semantic Segmentation
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
Stars: ✭ 2,369 (+6867.65%)
Mutual labels:  segmentation, cityscapes
multiclass-semantic-segmentation
Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]
Stars: ✭ 96 (+182.35%)
Mutual labels:  cityscapes
Shadowless
A Fast and Open Source Autonomous Perception System.
Stars: ✭ 29 (-14.71%)
Mutual labels:  segmentation
soma-ctrl
Node util for controlling SOMA smart shade via MQTT or HTTP
Stars: ✭ 19 (-44.12%)
Mutual labels:  blind
MetalCity
MetalCity - a procedural night city landscape generator
Stars: ✭ 29 (-14.71%)
Mutual labels:  cityscapes
dd-ml-segmentation-benchmark
DroneDeploy Machine Learning Segmentation Benchmark
Stars: ✭ 179 (+426.47%)
Mutual labels:  segmentation
lucia
An audio game engine written in python
Stars: ✭ 15 (-55.88%)
Mutual labels:  blind
EDANet
Implementation details for EDANet
Stars: ✭ 34 (+0%)
Mutual labels:  cityscapes
blind-signatures
Chaum's Blind Signatures
Stars: ✭ 24 (-29.41%)
Mutual labels:  blind
voice-based-email-for-blind
Emailing System for visually impaired persons
Stars: ✭ 35 (+2.94%)
Mutual labels:  blind
MITK-Diffusion
MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit
Stars: ✭ 47 (+38.24%)
Mutual labels:  segmentation
point-cloud-segmentation
TF2 implementation of PointNet for segmenting point clouds
Stars: ✭ 33 (-2.94%)
Mutual labels:  segmentation

BlindAssist

Build Status License

BlindAssist is an iOS application which has the goal to support blind people on the road. Since I have a blind brother, I decided to create this open source project.

Screenshot

How does it work?

The assisting process will be done using deep learning, image segmentation and translating the inference results to sentences which will be spoken out loud by tts (text to speech). The model used for this process is based on the cityscapes dataset.

Currently BlindAssist uses CoreML. You can run the download_model.sh script to get the prebuilt model.

The source of the model can be found here: https://github.com/BlindAssist/blindassist-scripts

Sponsors

Fritz

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].