liken95's Stars
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
chefyuan/algorithm-base
一位酷爱做饭的程序员,立志用动画将算法说的通俗易懂。我的面试网站 www.chengxuchu.com
ayooshkathuria/pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
yinguobing/head-pose-estimation
Realtime human head pose estimation with ONNXRuntime and OpenCV.
balzer82/Kalman
Some Python Implementations of the Kalman Filter
xiaopangxia/TCM-Ancient-Books
中医药古籍文本,近700项
GajuuzZ/Human-Falling-Detect-Tracks
AlphaPose + ST-GCN + SORT.
tushushu/imylu
Pure Python implementation of machine learning algorithms
Renovamen/Speech-and-Text
Speech to text (PocketSphinx, Iflytex API, Baidu API) and text to speech (pyttsx3) | 语音转文字(PocketSphinx、百度 API、科大讯飞 API)和文字转语音(pyttsx3)
visipedia/annotation_tools
Visipedia Annotation Tools
Taeyoung96/Yolo-to-COCO-format-converter
Yolo to COCO annotation format converter
DaGeger/paper-conversion
文章去重助手 论文降重 智能改写 智能原创
bmartacho/UniPose
We propose UniPose, a unified framework for human pose estimation, based on our “Waterfall” Atrous Spatial Pooling architecture, that achieves state-of-art-results on several pose estimation metrics. Current pose estimation methods utilizing standard CNN architectures heavily rely on statistical postprocessing or predefined anchor poses for joint localization. UniPose incorporates contextual seg- mentation and joint localization to estimate the human pose in a single stage, with high accuracy, without relying on statistical postprocessing methods. The Waterfall module in UniPose leverages the efficiency of progressive filter- ing in the cascade architecture, while maintaining multi- scale fields-of-view comparable to spatial pyramid config- urations. Additionally, our method is extended to UniPose- LSTM for multi-frame processing and achieves state-of-the- art results for temporal pose estimation in Video. Our re- sults on multiple datasets demonstrate that UniPose, with a ResNet backbone and Waterfall module, is a robust and efficient architecture for pose estimation obtaining state-of- the-art results in single person pose detection for both sin- gle images and videos.
Adityaojas/Pose-Estimation-Clean
Pose Estimation with cleaner outputs using Savgol filter
ortegatron/liveposetracker
Live body pose tracker made with OpenPose + Deep SORT
yao8839836/PTM
A Topic Modeling Approach for Traditional Chinese Medicine Prescriptions. TKDE 2018
hongfeioo/UserDeviceTracker
快速定位一个IP或MAC在你的网络中的位置,是网络工程师提高工作效率的利器,也可以为CMDB提供基础网络数据。
kengerlwl/PaperWeightLoss
论文降重, 使用类似翻译的原理
PanJinquan/python-learning-notes
代码
yao8839836/CEMRClass
Traditional Chinese Medicine Clinical Records Classification. In BIBM 2016
akshaykadam771/Suspicious-Activity-Detection-Using-Pose-Estimation
xieyulai/LSTM-for-Human-Activity-Recognition-using-2D-Pose_Pytorch
Based on PyTorch library, realizing human activities recognition using 2D skeleton joint points
CoopLo/am_205_project
Missile simulation and interception
ambersun1234/AART
Athlete analysis of real time sports events based on OpenPose
sunghoon031/RobustUncertaintyAwareMultiviewTriangulation
MATLAB implementation of the paper "Robust Uncertainty-Aware Multiview Triangulation"
h-jia/savgol_filter_gpu
GPU accelearted savgol filter based on Pytorch
domagalasebastian/pose-estimation-and-skeleton-tracking
Pose estimation using OpenPose and skeleton tracking using Kalman filter. University project.
bunert/Soccer-Analysis
Soccer Analysis Bachelor Thesis
Heedeok/OT_deepsort_kalman
mish13/3D-Human-Pose-Estimation-using-CNN-and-Human-Activity-Recognition-using-Bi-directional-LSTM
3D-Human-Pose-Estimation-using-CNN-and-Human-Activity-Recognition-using-Bi-directional-LSTM