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fhqiplj's Projects

actionbarsherlock icon actionbarsherlock

Action bar implementation which uses the native action bar on Android 4.0+ and a custom implementation on pre-4.0 through a single API and theme.

aiortc icon aiortc

WebRTC and ORTC implementation for Python using asyncio

android-open-project icon android-open-project

Collect and classify android open source projects, 交流 QQ 群:(入群理由必须填写群简介问题答案) 214742675

arduino_stm32 icon arduino_stm32

Arduino STM32. Hardware files to support STM32 boards, on Arduino IDE 1.6.x including LeafLabs Maple and other generic STM32F103 boards

batteryman icon batteryman

Work in progress adaptation of Battery Man made in Unreal Engine 4 with C++

bus_derby icon bus_derby

A 3D vehicle derby video game rendered in three.js and run on a physi.js physics engine. UV maps designed in Adobe Illustrator; meshes created in Blender and imported as glTF.

calipso icon calipso

Calipso is a simple NodeJS content management system based on Express, Connect & Mongoose.

change-detection-review icon change-detection-review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

chibios-rpi icon chibios-rpi

ChibiOS fork for Raspberry PI experimentation. See wiki for Pi-specific information.

diaonan icon diaonan

MQTT协议,CoAP协议,WebSocket,物联网协议测试平台

dpu icon dpu

Face detection based on Ultra96

evermemo icon evermemo

Fast Record,Organize,and Share. The android memo app you will deeply love. ❤

face-recognition icon face-recognition

Face recognition Android application. Using Android SDK, OpenCV and Facebook SDK. Loading the user's Facebook pictures, scanning pictures for facial features and comparing faces to image repository for matches. PLEASE NOTE: This project is relatively old and uses obsolete versions of both the Facebook SDK and the Android SDK.

firenet icon firenet

A deep learning model for detecting fire in video and camera streams

flow icon flow

Firmware for PX4FLOW board

flower_classification_dnndk_v1 icon flower_classification_dnndk_v1

The project is a simple example about how to use TensorFlow to train a ConNet model from labeled dataset and then use DNNDK tools to deploy the model into Xilinx FPGA(ZCU102 board). To make it easier to deploy with DNNDK. I just use numpy array as input data and OpenCV function to open images.

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