1941 Open source projects that are alternatives of or similar to Vision4j Collection

Sandbox for training deep learning networks

Segmentation models with pretrained backbones. PyTorch.

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

Tensorflow implementation : U-net and FCN with global convolution

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

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

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

MobileNetV3 in pytorch and ImageNet pretrained models

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

TFslim based semantic segmentation models, modular&extensible boutique design

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

Pytorch code for semantic segmentation using ERFNet

Unofficial PyTorch Reimplementation of RandAugment.

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

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.)

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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.

Image Test Time Augmentation with PyTorch!

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.

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

PSPNet in Chainer

An open source framework for deep learning on satellite and aerial imagery.

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

FrostNet: Towards Quantization-Aware Network Architecture Search

All-in-one Toolbox for Computer Vision Research.

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

A curated list of resources focused on Machine Learning in Geospatial Data Science.

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

High-level batteries-included neural network training library for Pytorch

BCDU-Net : Medical Image Segmentation

A light-weight, power efficient, and general purpose convolutional neural network

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

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

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

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

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

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

CNNs for semantic segmentation using Keras library

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

《深度学习与计算机视觉》配套代码

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

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

Classification with PyTorch.

Generalized Data-free Universal Adversarial Perturbations

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

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

Crop/Weed Field Image Dataset

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

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

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

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

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

Keras implementation for Pointnet