Pinned Repositories
6.270
Team 7 -- MIT Autonomous LEGO Robot Competition 2012
AODI
BabyBluetooth
:baby: The easiest way to use Bluetooth (BLE )in ios/os ,even bady can use . 一个非常容易使用的蓝牙库,适用于ios和os
ble-sensor-pi
Simple example for SensorTag with RaspberryPi a Bluetooth Low Engery (BLE GATT) device
camera
use javafx control raspberry pi camera moudel，base on jrpicam lib.
ESP32_JS
ESP32 JS Project
ESP32_W5500
ESP32_W5500-UDP测试
EtheNetRecord
M5Core2
关于M5Core2的一些测试，测试代码会基于多种开源库。
PyQt5_Demo
PyQt5学习小代码
dingxiao88's Repositories
dingxiao88/M5Core2
关于M5Core2的一些测试，测试代码会基于多种开源库。
dingxiao88/PyQt5_Demo
PyQt5学习小代码
dingxiao88/6.270
Team 7 -- MIT Autonomous LEGO Robot Competition 2012
dingxiao88/AODI
dingxiao88/BabyBluetooth
:baby: The easiest way to use Bluetooth (BLE )in ios/os ,even bady can use . 一个非常容易使用的蓝牙库,适用于ios和os
dingxiao88/ble-sensor-pi
Simple example for SensorTag with RaspberryPi a Bluetooth Low Engery (BLE GATT) device
dingxiao88/camera
use javafx control raspberry pi camera moudel，base on jrpicam lib.
dingxiao88/ESP32_JS
ESP32 JS Project
dingxiao88/ESP32_W5500
ESP32_W5500-UDP测试
dingxiao88/EtheNetRecord
dingxiao88/dingxiao88.github.io
dingxiao88/Django_Blog
一个可以上线的Blog
dingxiao88/Django_First
我的第一个Django应用
dingxiao88/Django_Portfolio
Django展示功能
dingxiao88/door-nfx
Door lock node JavaFX8 software running on RaspberryPi with a PN532 NFC Module
dingxiao88/ESP32S3_Daily_Test
ESP32S3_相关功能测试
dingxiao88/face-detection
Face detection with OpenCV and JavaFX
dingxiao88/Flutter-Demo
Flutter自我练习
dingxiao88/frist_flutter
dingxiao88/Lottery
一个可用于公司抽奖的小应用
dingxiao88/netease-cloud-api
网易云音乐升级API
dingxiao88/pi4j
Java I/O library for Raspberry Pi (GPIO, I2C, SPI, UART)
dingxiao88/RSL
Rockem Sockem Live
dingxiao88/Test
dingxiao88/TTGO_TWatch_Library
dingxiao88/u-boot-imx6
U-Boot branch to support the Freescale i.MX6 processor
dingxiao88/webcam-capture
The goal of this project is to allow integrated or USB-connected webcams access directly from Java. Using provided libraries users are able to read camera images and detect motion. Main project consist of several sub projects - the root one, which contains required classes, build-in webcam driver compatible with Windows, Linux and Mac OS, which can stream images as fast as your camera can serve them (up to 50 FPS). Main project can be used standalone, but user is able to replace build-in driver with different one - such as OpenIMAJ, GStreamer, V4L4j, JMF, LTI-CIVIL, FMJ, etc.