AndyHon

AndyHon's Stars

• me176c-dev/drmfb-composer

  A simple HIDL implementation of android.hardware.graphics.composer@2.1 using DRM KMS

  Language:C++66

• edemirkan/convert_10bit_to_8bit

  10bit to 8bit conversion via ffmpeg

  Language:Batchfile111

• sunytan/BinderDemo

  Language:C++11

• shachoi/HANet

  Official PyTorch implementation of HANet (CVPR 2020)

  Language:Python21436

• feinanshan/TDNet

  Temporally Distributed Networks for Fast Video Semantic Segmentation

  Language:Python20044

• fcdl94/MiB

  Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718

  Language:Python16644

• MaybeShewill-CV/bisenetv2-tensorflow

  Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

  Language:Python22259

• VainF/DeepLabV3Plus-Pytorch

  Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

  Language:Python1.9k435

• dengfenglai321/YOLOv4-Hat-detection

  基于YOLOv4的安全帽佩戴检测

  Language:Python8120

• XuyangHu/SA3D

  Structure-Aware 3D Shape Synthesis from Single-View Images (BMVC 2018)

  Language:Python2

• cvlab-columbia/oops

  Code for Oops! Predicting Unintentional Action in Video

  Language:Python7711

• XLearning-SCU/2019-TIFS-AnomalyNet

  AnomalyNet: An Anomaly Detection Network for Video Surveillance, IEEE Trans Information Forensics and Security 2019

  Language:Python83

• donggong1/memae-anomaly-detection

  MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

  Language:Python465103

• WaqasSultani/AnomalyDetectionCVPR2018

  Language:Python502182

• lq010/Online-Detection-of-Action-Start

  Language:Python122

• oulutan/ACAM_Demo

  Real-time Action detection demo for the work Actor Conditioned Attention Maps. This repo includes a complete pipeline for person detection/tracking and analyzing their actions in real-time.

  Language:Python14837

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python76.9k45.8k

• KevinDuarte/VideoCapsuleNet

  Code for VideoCapsuleNet: A Simplified Network for Action Detection

  Language:Python5915

• fjchange/object_centric_VAD

  An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"

  Language:Python9630

• FingerRec/real_time_video_action_recognition

  tensorflow real time video action recognition based on C3D https://arxiv.org/abs/1412.0767

  Language:Python7821

• microsoft/human-pose-estimation.pytorch

  The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

  Language:Python2.9k601

• facebookresearch/VideoPose3D

  Efficient 3D human pose estimation in video using 2D keypoint trajectories

  Language:Python3.7k748

• Bugdragon/YOLO_v3_PyTorch

  使用PyTorch实现基于YOLOv3的目标检测器

  Language:Python6114

• EricWX/Fall_detection

  Language:Python32

• mgei/fall-detection

  Lightweight fall detection based on human pose estimation

  Language:Python3410

• AdrianNunez/Fall-Detection-with-CNNs-and-Optical-Flow

  Repository containing the material required to reproduce the results of the paper "Vision-Based Fall Detection with Convolutional Neural Networks"

  Language:Python22458

• CrystalMiaoshu/PAFBenchmark

  Neuromorphic Vision Datasets for Pedestrian Detection, Action Recognition, and Fall Detection

  Language:Python7212

• ZheyuanXie/KLT-Feature-Tracking

  A Python implementation of the Kanade–Lucas–Tomasi (KLT) feature tracker

  Language:Python8824

• lyp-deeplearning/deep_sort_yolov3

  yolo做行人检测+deep-sort做匹配，端对端做多目标跟踪

  Language:Python13448

• gsatallion8/Feature-Vectors-for-Video-Frames

  Dealing with videos for classification can be difficult as there's both features across space as well as across time. Using a CNN based feature extractor would extract the spacial features and let an RNN/ LSTM take care of the temporal features. This repo contains code to extract the spatial features using pretrained networks.

  Language:Python43