FY387

FY387's Stars

• urban-informatics/LinkCrack

  Language:Python74

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.3k4.1k

• lfangyu09/IRT-multi-crack-detection-tasks

  1

• FY387/Deep-Learning-for-Tunnels

  4

• FY387/Intelligent-segmentation-of-tunnel-lining-cracks

  5

• Agtimeless/Original-images-of-urban-utility-tunnel-defects

  1

• juliantao/big

  Website for BiG research group

  Language:TeX41

• Qiang-Z/Tunnel200-Dataset_IEEE_TIV

  Language:Jupyter Notebook3

• ShiQiu0419/pnp-3d

  PnP-3D: A Plug-and-Play for 3D Point Clouds (TPAMI 2021)

  Language:Python335

• guochengqian/PointNeXt

  [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

  Language:Shell776110

• LCA-Asset/TunGPR

  Language:Python2

• yanx27/Pointnet_Pointnet2_pytorch

  PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

  Language:Python3.6k888

• posuifeng/Tunnel-defect-image

  2

• TommyZihao/Train_Custom_Dataset

  标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

  Language:Jupyter Notebook3.1k646

• bubbliiiing/faster-rcnn-pytorch

  这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

  Language:Python1.6k352

• bubbliiiing/ssd-pytorch

  这是一个ssd-pytorch的源码，可以用于训练自己的模型。

  Language:Python674174

• bubbliiiing/yolox-pytorch

  这是一个yolox-pytorch的源码，可以用于训练自己的模型。

  Language:Python880183

• bubbliiiing/yolov5-pytorch

  这是一个YoloV5-pytorch的源码，可以用于训练自己的模型。

  Language:Python1k173

• bubbliiiing/yolov4-pytorch

  这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。

  Language:Python2.1k616

• tyeso/Image_Classification_with_CoAtNet_and_ResNet18

  Language:Jupyter Notebook208

• cqc2/pc-tunnel

  processing point cloud data of subway tunnel

  Language:Matlab94

• bubbliiiing/yolov7-pytorch

  这是一个yolov7的库，可以用于训练自己的数据集。

  Language:Python874153

• VainF/DeepLabV3Plus-Pytorch

  Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

  Language:Python2k439

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.3k9.4k

• OnionDoctor/FCN_for_crack_recognition

  An application FCN for crack recogntion using tensorflow

  Language:Python4619

• WZMIAOMIAO/deep-learning-for-image-processing

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

  Language:Python22.7k8k

• konskyrt/Concrete-Crack-Detection-Segmentation

  📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

  Language:Jupyter Notebook5521

• khanhha/crack_segmentation

  This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

  Language:Python371126

• yassouali/pytorch-segmentation

  :art: Semantic segmentation models, datasets and losses implemented in PyTorch.

  Language:Jupyter Notebook1.7k380

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.4k1.9k