nmxnql's repositories
opencVehicleCountThread
高空摄像头下的高速道路车辆计数多线程版
opencVehicleCount
高空摄像头下的高速道路车辆计数
caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework.
CycleGAN-tensorflow
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
darknet
Convolutional Neural Networks
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
FastPhotoStyle
Style transfer, deep learning, feature transform
gluon-cv
Gluon CV Toolkit
Image_Segmentation
pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.
Kaggle_TGS2018_4th_solution
Kaggle TGS Salt Identification Challenge 2018 4th place code
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
keras-retinanet
Keras implementation of RetinaNet object detection.
keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation
PANet
PANet for Instance Segmentation and Object Detection
pose-residual-network
Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper
pytorch-cpn
A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)
pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
pytorch-deform-conv
PyTorch implementation of Deformable Convolution
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Relation-Networks-for-Object-Detection
Relation Networks for Object Detection
retinanet-adjustL1
copare to original retinamask ,not allow low quantity match ,not mask predict ,adopt adjustL1 only.
RetinaNet-and-SSD-in-PyTorch-Detectron
This is a PyTorch implementation of RetinaNet and SSD, in the code structure of Detectron from FAIR
RetinaNet_Tensorflow_Rotation
Focal Loss for Dense Rotation Object Detection
spatial-transformer-GAN
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing (CVPR 2018)
UrbanRegionFunctionClassification
第五届百度西安交大大数据竞赛 城市区域功能分类 Baseline
YOLO_tensorflow
tensorflow implementation of 'YOLO : Real-Time Object Detection'