Kermit Griffeth's repositories
mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
jetlinks-community
JetLinks 基于Java8,Spring Boot 2.x ,WebFlux,Netty,Vert.x,Reactor等开发, 是一个全响应式的企业级物联网平台。支持统一物模型管理,多种设备,多种厂家,统一管理。统一设备连接管理,多协议适配(TCP,MQTT,UDP,CoAP,HTTP等),屏蔽网络编程复杂性,灵活接入不同厂家不同协议等设备。实时数据处理,设备告警,消息通知,数据转发。地理位置,数据可视化等。能帮助你快速建立物联网相关业务系统。
GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Python-100-Days
Python - 100天从新手到大师
jetson-utils-1
C++/Python Linux utility wrappers for NVIDIA Jetson - camera, codecs, CUDA, GStreamer, HID, OpenGL/XGL
audio-video-dev-tutorial
简单易懂的音视频开发教程
yolov5-opencv-dnn-cpp
使用opencv模块部署yolov5-6.0版本
ONNX-TensorRT-LibTorch
deploy onnx models with TensorRT and LibTorch
DetectorSamples
OpenCV加载onnx实现SSD,YOLOV3,YOLOV5的推理
amazon-kinesis-video-streams-webrtc-sdk-c
Amazon Kinesis Video Streams Webrtc SDK is for developers to install and customize realtime communication between devices and enable secure streaming of video, audio to Kinesis Video Streams.
yolov5-ppl.nn
Implement yolov5 using ppl.nn
MVision
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
libs
Common libraries and modules
MobileNetV3-SSD
MobileNetV3-SSD for object detection and implementation in PyTorch
hisi_monitor
海思IPC
lvgl
Powerful and easy-to-use embedded GUI with many widgets, advanced visual effects (opacity, antialiasing, animations) and low memory requirements (16K RAM, 64K Flash).
media-server
RTSP/RTP/RTMP/FLV/HLS/MPEG-TS/MPEG-PS/MPEG-DASH/MP4/fMP4
openvino_tutorial
openvino课程配套源码
SeetaFace6
SeetaFace 6: Newest open and free, full stack face recognization toolkit.
nniefacelib
nniefacelib是一个在海思35xx系列芯片上运行的人脸算法库
nnie
重构海思sample中的NNIE模块
light-LPR
Light-LPR是一个瞄准可以在嵌入式设备、手机端和普通的x86平台上运行的车牌识别开源项目,旨在支持各种场景的车牌识别,车牌字符识别准确率超99.95%,综合识别准确率超过99%,支持目前国内所有的车牌识别,觉得好用的一定要加星哦。
FaceMaskDetection
Detect face and check whether the people have wear the mask.
frp
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.