1236 Open source projects that are alternatives of or similar to Openvehiclevision

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

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

CNNs for semantic segmentation using Keras library

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

EU Long-term Dataset with Multiple Sensors for Autonomous Driving

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

The ApolloScape Open Dataset for Autonomous Driving and its Application.

proof-of-concept program that detects rail-track with semantic segmentation for autonomous train system

Pytorch code for semantic segmentation using ERFNet

BCDU-Net : Medical Image Segmentation

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Papers and Datasets about Point Cloud.

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

4th place solution in Baidu Autonomous Driving Lane Segmentation

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Segmentation models with pretrained backbones. PyTorch.

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

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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

A Kitti Road Segmentation model implemented in tensorflow.

TFslim based semantic segmentation models, modular&extensible boutique design

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

Waymo Open Dataset

Be Driven 🚘

The official homepage of the (outdated) COCO-Stuff 10K dataset.

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

HyperSeg - Official PyTorch Implementation

Cut and paste augmentation for object detection and instance segmentation

Machine Learning Project to identify an ID Card on an image

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

segmentation paper reading notes

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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

Binary semantic segmentation with UNet based on MobileNetV2 encoder

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

A collection of dataset loaders

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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.)

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

CRF-RNN PyTorch version http://crfasrnn.torr.vision

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Tensorflow implementation : U-net and FCN with global convolution

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

Crop/Weed Field Image Dataset

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

A large-scale dataset for face parsing (AAAI2020)

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.