Mousou-grass (phamminhhanhuet)

phamminhhanhuet

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machinelearningGBR

Mid-term project for Machine Learning class.

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Avoid-Moving-Obstacle-With-GAs

Avoid Moving Obstacle With GAs For Robot

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BluetoothAppForIoT

A basic concept for a bluetooth-interface app using in smart system.

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BluetoothControlledHomeApplication

Wireless control application was built using PIC16F877A. The board designed with Proteus and microprocessor programmed using CCS C Compiler.

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caffe

Caffe on both Linux and Windows

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CameraCalibration

Build a model to gather the camera's parameters for some application such as 3D restruction from 2D images.

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IOT-with-PIC16F887-ESP8266-LM35

IOT with PIC16F887(MCU), LM35(temperature sensor) and ESP8266(wifi chip)

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it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

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live-app-android

Build live location sharing in your Android app

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MasterDev_Week1

Probability & Statistic

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programming-pic-microcontrollers-w-xc8

Source code for 'Programming PIC Microcontrollers with XC8' by Armstrong Subero

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Project-A.S.A.D

Autonomous and controllable robot through an application developed in Visual Basic for windows. The robot performes tasks such as grabbing and releasing objects, chasing objects, and avoid obstacles. These functions can either be performed automatically or be controlled via Bluetooth communication using a PC. The hardware was entirely designed using CIRCAD software and the components were soldered using a micro soldering. A few of the components used are the ultrasonic sensors (Used to avoid obstacles or chase objects), infrared sensor (used to recognize the presence of an object to active the pliers), stepper motor (used for the movement of the pliers), and a Bluetooth module (used for the communication between pc and robot). The information sent and data is processed by a PIC 16 F877A which is installed on a custom made motherboard specifically designed for the dimension of the robot. This project can extensively be improved and many other functions can be implemented.

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resnet-orient-detection

Source: https://github.com/yijingru/BBAVectors-Oriented-Object-Detection

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yolo-orient-detection

Source: https://github.com/hukaixuan19970627/yolov5_obb

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