AndyHon's Stars
me176c-dev/drmfb-composer
A simple HIDL implementation of android.hardware.graphics.composer@2.1 using DRM KMS
edemirkan/convert_10bit_to_8bit
10bit to 8bit conversion via ffmpeg
sunytan/BinderDemo
shachoi/HANet
Official PyTorch implementation of HANet (CVPR 2020)
feinanshan/TDNet
Temporally Distributed Networks for Fast Video Semantic Segmentation
fcdl94/MiB
Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718
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"
VainF/DeepLabV3Plus-Pytorch
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
dengfenglai321/YOLOv4-Hat-detection
基于YOLOv4的安全帽佩戴检测
XuyangHu/SA3D
Structure-Aware 3D Shape Synthesis from Single-View Images (BMVC 2018)
cvlab-columbia/oops
Code for Oops! Predicting Unintentional Action in Video
XLearning-SCU/2019-TIFS-AnomalyNet
AnomalyNet: An Anomaly Detection Network for Video Surveillance, IEEE Trans Information Forensics and Security 2019
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.
WaqasSultani/AnomalyDetectionCVPR2018
lq010/Online-Detection-of-Action-Start
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.
tensorflow/models
Models and examples built with TensorFlow
KevinDuarte/VideoCapsuleNet
Code for VideoCapsuleNet: A Simplified Network for Action Detection
fjchange/object_centric_VAD
An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"
FingerRec/real_time_video_action_recognition
tensorflow real time video action recognition based on C3D https://arxiv.org/abs/1412.0767
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)"
facebookresearch/VideoPose3D
Efficient 3D human pose estimation in video using 2D keypoint trajectories
Bugdragon/YOLO_v3_PyTorch
使用PyTorch实现基于YOLOv3的目标检测器
EricWX/Fall_detection
mgei/fall-detection
Lightweight fall detection based on human pose estimation
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"
CrystalMiaoshu/PAFBenchmark
Neuromorphic Vision Datasets for Pedestrian Detection, Action Recognition, and Fall Detection
ZheyuanXie/KLT-Feature-Tracking
A Python implementation of the Kanade–Lucas–Tomasi (KLT) feature tracker
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
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.