The Wayback Machine - https://web.archive.org/web/20210217021934/https://github.com/topics/segmentation

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segmentation

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lexfridman / mit-deep-learning

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Tutorials, assignments, and competitions for MIT Deep Learning related courses.

data-science machine-learning mit deep-learning tensorflow deep-reinforcement-learning artificial-intelligence neural-networks segmentation tensorflow-tutorials deeplearning jupyter-notebooks self-driving-cars deep-rl

Updated Jan 15, 2021
Jupyter Notebook

albumentations

albumentations-team / albumentations

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Open

Add new transforms from https://arxiv.org/abs/1903.12261

6

ternaus commented Nov 26, 2019

There is a set of Pixel Level transforms that is used in the work Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

The authors also share the code => we can absorb some transforms that they have into the library.

https://github.com/hendrycks/robustness/blob/master/ImageNet-C/create_c/make_imagenet_c.py

ShotNoise
Defocus
GlassBlur

Read more

enhancement good first issue

Open

New aliases for bbox formats

Open

Feature request: add hypothesis library to tests

2

Find more good first issues →

utkuozbulak / pytorch-cnn-visualizations

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Pytorch implementation of convolutional neural network visualization techniques

grad-cam pytorch segmentation gradient cam saliency deep-dream guided-backpropagation guided-grad-cam gradient-visualization cnn-visualization smooth-grad

Updated Jan 13, 2021
Python

dusty-nv / jetson-inference

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Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Updated Feb 3, 2021
C++

zhixuhao / unet

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unet for image segmentation

keras segmentation unet

Updated Feb 4, 2021
Jupyter Notebook

charlesq34 / pointnet

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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

neural-network tensorflow point-cloud classification segmentation geometry-processing

Updated Dec 16, 2019
Python

CharlesShang / FastMaskRCNN

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Mask RCNN in TensorFlow

tensorflow detection coco segmentation rcnn maskrcnn fasterrcnn pfn

Updated Jan 5, 2021
Python

qubvel / segmentation_models

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Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Updated Dec 13, 2020
Python

qubvel / segmentation_models.pytorch

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Segmentation models with pretrained backbones. PyTorch.

models image-processing pytorch neural-networks imagenet segmentation pretrained-models image-segmentation unet semantic-segmentation pretrained-weights pspnet fpn deeplabv3 unet-pytorch deeplab-v3-plus linknet segmentation-models unetplusplus pretrained-backbones

Updated Feb 11, 2021
Python

roytseng-tw / Detectron.pytorch

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A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

detection pytorch segmentation pose-estimation mask-rcnn detectron

Updated Sep 5, 2019
Python

GeorgeSeif / Semantic-Segmentation-Suite

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

python computer-vision deep-learning tensorflow dataset segmentation densenet upsampling semantic-segmentation epoch iou encoder-decoder refinenet semantic-segmentation-models

Updated Dec 29, 2020
Python

osmr / imgclsmob

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Sandbox for training deep learning networks

machine-learning deep-learning neural-network mxnet chainer tensorflow keras pytorch classification imagenet image-classification segmentation human-pose-estimation pretrained-models gluon cifar semantic-segmentation 3d-face-reconstruction tensorflow2

Updated Feb 15, 2021
Python

charlesq34 / pointnet2

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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

deep-learning point-cloud classification segmentation 3d-shape

Updated May 16, 2020
Python

HRNet / HRNet-Semantic-Segmentation

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This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

segmentation high-resolution semantic-segmentation cityscapes pascal-context lip high-resolution-net hrnets

Updated Feb 15, 2021
Python

mapbox / robosat

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

machine-learning openstreetmap aerial-imagery segmentation satellite-imagery

Updated Aug 27, 2020
Python

abhineet123 / Deep-Learning-for-Tracking-and-Detection

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Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

tracking deep-learning detection segmentation object-detection optical-flow papers tracking-by-detection code-collection paper-collection

Updated Feb 8, 2021

rsennrich / subword-nmt

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Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

machine-translation segmentation neural-machine-translation nmt subword-units bpe

Updated Feb 15, 2021
Python

PaddlePaddle / PaddleX

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PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

deployment detection classification segmentation resnet unet jetson mobilenet yolov3 ppyolo

Updated Feb 9, 2021
Python

xinario / awesome-gan-for-medical-imaging

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Awesome GAN for Medical Imaging

detection medical-imaging registration generative-adversarial-network gan segmentation deeplearning reconstruction super-resolution ct-denoising medical-image-synthesis

Updated Feb 4, 2021

ShawnBIT / UNet-family

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Paper and implementation of UNet-related model.

pytorch segmentation unet

Updated May 21, 2020
Python

NifTK / NiftyNet

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[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

python deep-neural-networks deep-learning neural-network tensorflow ml python3 distributed medical-imaging pip gan autoencoder segmentation convolutional-neural-networks python2 medical-image-computing medical-images medical-image-processing image-guided-therapy medical-image-analysis

Updated Apr 21, 2020
Python

soeaver / caffe-model

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Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

caffe detection classification imagenet faster-rcnn segmentation resnet inception inception-resnet resnext caffemodel dpn

Updated Mar 22, 2018
Python

frombeijingwithlove / dlcv_for_beginners

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《深度学习与计算机视觉》配套代码

caffe computer-vision deep-learning mxnet book example detection regression pytorch gan classification segmentation generative unet adversarial beginners siamese u-net model-fusion

Updated Nov 30, 2020
Python

FCN.tensorflow

shekkizh / FCN.tensorflow

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Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

tensorflow segmentation fcn

Updated Mar 1, 2020
Jupyter Notebook

MarvinTeichmann / tensorflow-fcn

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An Implementation of Fully Convolutional Networks in Tensorflow.

tensorflow vgg segmentation

Updated Dec 15, 2017
Python

yangyanli / PointCNN

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

machine-learning deep-neural-networks robotics point-cloud classification segmentation convolutional-neural-networks autonomous-driving shapenet pointcloud scannet

Updated May 7, 2020
Python

torch-points3d

nicolas-chaulet / torch-points3d

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Pytorch framework for doing deep learning on point clouds.

deep-learning point-cloud pytorch segmentation scannet pointnet s3dis minkowskiengine kpconv

Updated Feb 12, 2021
Python

speedinghzl / CCNet

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

pytorch segmentation semantic-segmentation cityscape self-attention scene-parsing

Updated Feb 7, 2021
Python

MeshCNN

ranahanocka / MeshCNN

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Convolutional Neural Network for 3D meshes in PyTorch

machine-learning computer-graphics pytorch mesh segmentation convolutional-neural-networks 3d geometric-deep-learning

Updated Mar 9, 2020
Python

MIC-DKFZ / medicaldetectiontoolkit

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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.

deep-neural-networks deep-learning detection inference medical-imaging segmentation object-detection medical-image-computing semantic-segmentation 3d-models medical-image-processing mask-rcnn u-net medical-image-analysis 2d-3d pytorch-cnn retina-net 3d-object-detection pytorch-implementation pytorch-deeplearning retina-unet 3d-mask-rcnn

Updated Oct 14, 2020
Python

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