Pinned Repositories
2018AICity_TeamUW
This repository contains the source code of TeamUW in Track 1 and Track 3 at the NVIDIA AI City Challenge Workshop at CVPR 2018.
agents
Efficient Batched Reinforcement Learning in TensorFlow
asms
Scale adaptive mean-shift tracker
attitude_estimator
A C++ implementation of a nonlinear 3D IMU fusion algorithm
awesome-vehicle-re-identification
collection of dataset&paper&code on Vehicle Re-Identification
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
basic_reinforcement_learning
An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
bgslibrary
A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT
CarAlignment
predict keypoints of cars given an image of the car from a certain viewpoint
CarLaneDetection
车道线检测
ningweikang's Repositories
ningweikang/2018AICity_TeamUW
This repository contains the source code of TeamUW in Track 1 and Track 3 at the NVIDIA AI City Challenge Workshop at CVPR 2018.
ningweikang/awesome-vehicle-re-identification
collection of dataset&paper&code on Vehicle Re-Identification
ningweikang/bgslibrary
A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT
ningweikang/ColorSymDetect
Wavelet-based Reflection Symmetry Detection via Textural and Color Histograms (ICCV 2017)
ningweikang/convolutional-pose-machines-tensorflow
ningweikang/Deep-Learning-with-TensorFlow-book
深度学习开源书,基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
ningweikang/deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
ningweikang/demo_for_kalmanFilter
fusion algorithm with only ranging(UWB) and 6-axis imu sensor
ningweikang/github-slideshow
A robot powered training repository :robot:
ningweikang/GMS-Feature-Matcher
C++ code for "GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence"
ningweikang/gnss-ins-sim
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
ningweikang/GPS-IMU-Fusion
Robot Localization
ningweikang/imu_tools
ROS tools for IMU devices
ningweikang/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.
ningweikang/leetcode-master
LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
ningweikang/models
Models and examples built with TensorFlow
ningweikang/Multi-Camera-Vehicle-Tracking-and-Reidentification
This repository contains our source code of Track 3 in the NVIDIA AI City Challenge Workshop at CVPR 2018. Please find the full source code of both Track 1 and Track 3 here ->
ningweikang/multiple-object-tracking-lidar
C++ implementation to Detect, track and classify multiple objects using LIDAR scans
ningweikang/nerf-learn
记录对nerf各种算法、应用、软件等等的学习过程
ningweikang/opencv_contrib
Repository for OpenCV's extra modules
ningweikang/self-driving-car
The Udacity open source self-driving car project
ningweikang/Self-Driving-Cars
Coursera Open Courses from University of Toronto
ningweikang/shadow-removal
Remove the shadows from the pictures.
ningweikang/sort
Simple, online, and realtime tracking of multiple objects in a video sequence.
ningweikang/tensorflow-handbook
简单粗暴 TensorFlow 2.0 | A Concise Handbook of TensorFlow 2.0
ningweikang/TFusion
CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns
ningweikang/tracking-with-Extended-Kalman-Filter
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
ningweikang/TRN-pytorch
Temporal Relation Networks
ningweikang/uwb-localization
Accurate 3D Localization for MAV Swarms by UWB and IMU Fusion.
ningweikang/VarGFaceNet
复现论文VarGFaceNet: An Efficient Variable Group Convolutional Neural Network pytorch1.3版本。不过暂时没有用到论文中的知识蒸馏技术,而且在论文中没有看到训练的详细参数(优化器,学习率,权值衰减等)