Pinned Repositories
3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
algorithm
algorithm & graph theory & Dijkstra & NP problem & huawei codecraft
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
CGraph
【A common used C++ DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork
JD_Pigs_Recognition
Recognition Pigs by Xception
u-net
U-Net: Convolutional Networks for Biomedical Image Segmentation
KongCang's Repositories
KongCang/CGraph
【A common used C++ DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork
KongCang/AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
KongCang/awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
KongCang/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
KongCang/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
KongCang/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
KongCang/computer-vision-in-action
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
KongCang/CT-Synthetic-MR-Images
input ct data use U-net method systh mri
KongCang/darknet
Convolutional Neural Networks
KongCang/Deep-DIM
This is the official repo for the paper ‘’Robust Template Matching via Hierarchical Convolutional Features from a Shape Biased CNN''.
KongCang/deep_learning_object_detection
A paper list of object detection using deep learning.
KongCang/FaceKit
[CVPR 2018] Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks
KongCang/Fastest_Image_Pattern_Matching
C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"
KongCang/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
KongCang/medical-data
KongCang/MetaRegNet
Implementation for metamorphic image registration network (MetaRegNet)
KongCang/mmrotate
OpenMMLab Rotated Object Detection Toolbox and Benchmark
KongCang/mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
KongCang/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
KongCang/models
Models and examples built with TensorFlow
KongCang/MVision
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
KongCang/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）
KongCang/parseq
Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)
KongCang/pyelastix
Thin wrapper around elastix - a toolbox for rigid and nonrigid registration of images
KongCang/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
KongCang/pytorch-PCN
Pytorch implementation of PCN
KongCang/QATM_pytorch
Pytorch Implementation of QATM:Quality-Aware Template Matching For Deep Learning
KongCang/R2Net
Implementation for Residual Registration Network (R2Net)
KongCang/safe-rules
详细的C/C++编程规范指南，由360质量工程部编著，适用于桌面、服务端及嵌入式软件系统。
KongCang/SegLoss
A collection of loss functions for medical image segmentation