shuiniu86's repositories
Adaptive-Traffic-Signal-Timer
This Adaptive Traffic Signal Timer uses live images from the cameras at traffic junctions for real-time traffic density calculation using YOLO object detection and sets the signal timers accordingly.
awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球140所大学采用教学。
datenlord
DatenLord, Computing Defined Storage, an application-orientated, cloud-native distributed storage system
deepstream_pose_estimation
This is a sample DeepStream application to demonstrate a human pose estimation pipeline.
Driver-Drowsiness-Detection
A project using Dlib, OpenCV Python based on facial landmark detection.
edex-ui
A cross-platform, customizable science fiction terminal emulator with advanced monitoring & touchscreen support.
EpicSurvivalGameSeries
Third-person Survival Game for Unreal Engine 4 (Sample Project)
fangtanginuse
fangtanginuse
gst-rtsp-server
RTSP server based on GStreamer
Intelligent-Video-Analytics-with-NVIDIA-Jetson-and-Microsoft-Azure
A repository demonstrating an end-to-end architecture for Intelligent Video Analytics using NVIDIA hardware with Microsoft Azure
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
license_plate_de-identification
This is the easiest way to de-identify license plates.
MotioNet
A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]
Multi-Camera-Live-Object-Tracking
Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
nano_build_opencv
Build OpenCV on Nvidia Jetson Nano
nn_vis
A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
oh-my-fish
The Fish Shell Framework
PLabel
半自动标注系统是基于BS架构,由鹏城实验室叶齐翔教授团队自主研发,集成视频抽帧,目标检测、视频跟踪、ReID分类、人脸检测等算法,实现了对图像,视频的自动标注,并可以对自动算法的结果进行人工标注,最终得到标注结果,同时也可以对视频、图片、医疗(包括dicom文件及病理图像)相关的数据进行人工标注,标注结果支持COCO及VOC格式。支持多人协同标注。 半自动标注系统主要功能有:用户管理,数据集管理,自动标注,人工标注,ReID标注,车流统计,视频标注,医疗CT标注,超大图像标注,模型管理与重训,报表管理。数据标注过程一个非常重要的因素是数据安全,在标注使用中防止数据泄露,采用基于web标注工具是有效避免数据泄露的措施之一。 半自动标注系统以保证性能的情况下最小化人工标注代价为目标,不断提升自动标注效率,减少人工标注和人工参与过程。
safety-gear-detector-cpp
Observe workers as they pass in front of a camera to determine if they have adequate safety protection.
ThreeDPoseUnityBarracuda
Unity sample of 3D pose estimation using Barracuda
tidb
TiDB is an open source distributed HTAP database compatible with the MySQL protocol
TPN
[CVPR 2020] Temporal Pyramid Network for Action Recognition
tracking_and_speed_estimation
detection and tracking using YoLo v4, speed estimation using homography, average speed using optical flow
UnrealLiveLinkCInterface
C interface API to the Unreal Live Link Message Bus API
weibo-trending-hot-search
微博热搜榜,记录从 2020-11-24 日开始的微博热门搜索。每小时抓取一次数据,按天归档。
yolov5-comment
yolov5的注释版本