1482 Open source projects that are alternatives of or similar to Deep Learning For Image Processing

Sandbox for training deep learning networks

基于Tensorflow2开发的优秀扩展包及项目

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

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

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

TF2 implementation of PointNet for segmenting point clouds

A Python toolbox for computer vision research and project

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

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

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

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

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

Tensorflow2.3的文本分类项目，支持各种分类模型，支持相关tricks。

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

All-in-one Toolbox for Computer Vision Research.

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

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

Generalized Data-free Universal Adversarial Perturbations

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

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

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Keras implementation for Pointnet

Collections of model quantization algorithms

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

Perception toolkit for sim2real training and validation

Papers and Datasets about Point Cloud.

Grid-GCN for Fast and Scalable Point Cloud Learning

OpenMMLab Model Compression Toolbox and Benchmark.

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

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

Crop/Weed Field Image Dataset

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

Resurces for MRI images processing and deep learning in 3D

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

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

Image Test Time Augmentation with PyTorch!

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.

Collection of computer vision models, ready to be included in a JVM project

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

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

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

《深度学习与计算机视觉》配套代码

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

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

PyTorch extensions for fast R&D prototyping and Kaggle farming

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

Tensorflow implementation : U-net and FCN with global convolution

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.

FrostNet: Towards Quantization-Aware Network Architecture Search

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

PyTorch Implementation of Stacked U-Nets (SUNets)

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

Awesome-Text-Classification Projects,Papers,Tutorial .