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4gcms-aibox's Projects

awesome_video_person_reid

papers collection and understanding for video person re-identification

caffe_python3

Docker image:Caffe, Python3.10, Ubuntu 22.04

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

dance-with

Dance-with: Dance with your friends with the right pose!

frigate

NVR with realtime local object detection for IP cameras

gstreamer-opencv

opencv + gstreamer simple demo

hisi-yolov5

海思设备上部署阉割版yolov5

ibbd.github.io

IBBD技术博客

mvs-rknn

海康威视工业相机在瑞芯微RK3588下调用NPU跑YOLOv5

online-class-sitting-posture-detection

pythonFlask+音视频SDK+OpenVino+OpenPose实现网课场景坐姿检测

opensense

OpenSense: A Platform for Multimodal Data Acquisition and Behavior Perception

person-attribute-recognition-marketduke

A simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.

person_search_demo

利用YOLOv3结合行人重识别模型，实现行人的检测识别，查找特定行人

rk3588-docker

rk3588 kernel开启docler需要依赖配置

rk3588-yolo-demo

The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and camera feeds. The demo uses the Yolov8n model for file inference, with a maximum inference frame rate of up to 100 frames per second.

rknn-multi-threaded

A simple demo of yolov5s running on rk3588/3588s using Python (about 72 frames). / 一个使用Python在rk3588/3588s上运行的yolov5s简单demo(大约72帧/s)。

rkyolortspserver

simple yolov5 rtspserver for rk3588

rk_ffmpeg

在rockchip3588上实现用ffmpeg进行推拉流，其中推拉流使用硬件加速编解码

rtsp_cpp

c++ RTSP Client/Server - win32/linux/android

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

tkun

This is a private study repository

transforms3d_cpp

基于Eigen实现的机器人位姿转换库

vlc_demo

libvlc调用示例程序

yolo-training-optimization-pose-estimation-and-tracking

This repository contains the code for training YOLOv5, YOLOv7, and YOLOv8 models for object detection using Python 3. Optimization of models with OpenVINO and Apache TVM, and tracking with ByteTrack and yolov8-pose.

yolo5_caffe_hisi3559

yolov5: pytorch->onnx->caffe->hisi3559

yoloinfer

Yolov5, Yolov8 inference code with python, c++

yolov5-face-rk3588

RK3588 Debian11环境下实现yolov5-face的推理实现，包括Python和C++实现。主要依赖RKNPU2 SDK和rknn_toolkit_lite2

yolov5-npu

YoloV5 NPU for the RK3566/68/88

yolov5-rk3588-python

Modify Code From rknn-toolkit2

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