463 Open source projects that are alternatives of or similar to cellcount

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

Binary semantic segmentation with UNet based on MobileNetV2 encoder

An open-access bioinformatics text

Rectangle detection using the Hough transform

Road Detection from satellite images using U-Net.

Semantic Aware Attention Based Deep Object Co-segmentation

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

A deep-learning pipeline for segmentation of ambiguous microscopic images.

Pytorch framework for doing deep learning on point clouds.

Feature Annotation Location Description Ontology

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

A Python toolbox for computer vision research and project

Summary of Transformer applications for computer vision tasks.

This repository contains the links to the article that I wrote on Medium pertaining to Image processing.

Semi-Supervised Video Object Segmentation(VOS) Paper List

Code for https://unsupervised-llamas.com

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

segmentation paper reading notes

Stemmer for German

Python tools for working with PedX dataset.

The Aquarium Lab Operating System

Invariant Superpixel Features for Object Detection

CNN implementation for medical X-Ray image segmentation

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

No description or website provided.

Resurces for MRI images processing and deep learning in 3D

A library of free open source icons for science illustrations in biology and chemistry

A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

Hardware and software for accessible, extensible, and scalable bioreactors. Built on Raspberry Pi.

This is the source code of the 1st place solution for segmentation task in MICCAI 2020 TN-SCUI challenge.

Highly customizable, ambiguity-aware dotplots for visual sequence analyses

The new and improved 2018 version of the EMBL Python BioImage Analysis Tutorial. Now finally in python 3!

A PyTorch and TorchDrug based deep learning library for drug pair scoring.

Research Pipeline for image masking/segmentation in Keras

Public code for our submission to the 2017 ACDC Cardiac Segmentation challenge

Fashion Item segmentation with Mask_RCNN

Bayesian Segmentation of Spatial Transcriptomics Data

Digital Pathology AI

winning sloution of Digtial Manfacturing Algorithm Competition II of JinNan Tianjin

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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

An R package for plotting microtitre plates

Line Segmentation of Handwritten Documents using the A* Path Planning Algorithm

An open-source semi-automated processing chain for urban OBIA classification.

Distributed segmentation for bio-image-analysis

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

Segmentation of 3D shapes in a common anatomical space

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

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

This is an unofficial implemention of LEDNet https://arxiv.org/abs/1905.02423

exudates detection using hybrid approach (Image Morphology & Machine Learning)

Implementation of our AAAI'22 work: 'UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer'.

Face Video Segmentation - Face segmentation ground truth from videos

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Natural language processing algorithms implemented in pure Ruby with minimal dependencies

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

Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).

TensorRT Examples (TensorRT, Jetson Nano, Python, C++)

Fast English word segmentation in Rust