398 Open source projects that are alternatives of or similar to Tensorflow Enet

TFslim based semantic segmentation models, modular&extensible boutique design

Repository containing code for "U-Net Fixed-Point Quantization for Medical Image Segmentation" paper at MICCAI2019

nucleus/cell and histopathology image classification,detection,segmentation

Aligns text (lyrics) with monophonic singing voice (audio). The algorithm uses structural segmentation to segment the audio into structures and then uses hidden markov models to obtain alignment within segments. The final alignment is concatenation of time stamps of lyrics within the segments for each song.

DeeplabV2 segmentation in Keras.

Codes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

🌈 Automatic Color Pop effect on any image inspired by Google Photos

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.

Neural Network for Dying Hair💈

Evaluation framework for testing segmentation networks in Keras

OpenMMLab Model Compression Toolbox and Benchmark.

Source Code for KNN Matting, CVPR 2012 / TPAMI 2013. MATLAB code ready to run. Simple and robust implementation under 40 lines.

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

PyTorch extensions for fast R&D prototyping and Kaggle farming

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)

deep learning for image processing including classification and object-detection etc.

Implementation of Basic Digital Image Processing Tasks in Python / OpenCV

Trainable models and NN optimization tools

A basic framework for pulmonary nodule detection and characterization in CT

Awesome GAN for Medical Imaging

Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

Catalyst.Segmentation

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

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

The Combined Anomalous Object Segmentation (CAOS) Benchmark

Sources for the ITKSoftwareGuide.

Dictionary Learning for image processing

Paper and implementation of UNet-related model.

U-Time: A Fully Convolutional Network for Time Series Segmentation

Multi-platform, free open source software for visualization and image computing.

地理编码技术，提供地址标准化和相似度计算。

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

A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

End-to-end, automatic face swapping pipeline

Segment Deep Gray Matter on QSM images using 3D CNN

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Software package for neuron reconstruction and visualization

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

Libtorch Examples

Tunable U-Net implementation in PyTorch

基于Tensorflow2开发的优秀扩展包及项目

SOTA medical image segmentation methods based on various challenges

HyperSeg - Official PyTorch Implementation

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding

MERlin is an extensible analysis pipeline applied to decoding MERFISH data

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

R-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

xmnlp：提供中文分词, 词性标注, 命名体识别，情感分析，文本纠错，文本转拼音，文本摘要，偏旁部首等功能

A PyTorch implementation of PointRend: Image Segmentation as Rendering

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

Kaggle airbus ship detection challenge 21st solution

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).

A collection of dataset loaders

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Pointwise Rotation-Invariant Network (AAAI 2020)

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle