aasaialangaram Goto Github PK

pytorch_machine_learning

Machine learning, Deep Learning, CNN with PyTorch

raspberry-pi-camera-web-streaming

Streaming your rpi camera data through web

regression-python-implementation

Coursera ML Specialization Regression Python Implementation

rust_prgm

Repository for RUST Programming

sil-kit

Vector SIL Kit – Open-Source Library for Connecting Software-in-the-Loop Environments

stm32f411e-disco-board-programs

STM32 Working Programs

tech-interview-for-developer

👶🏻 신입 개발자의 성공적인 기술 면접 백과사전 📖

tech-interview-handbook

💯 Materials to help you rock your next coding interview

tensorflow-deployment-specialization-solutions-coursera

tensorflow-in-practice-specialization

Tensorflow Exercise Notebooks

tensorflow-lite-android-application

Apk Files for Object Classification, Cat and dog classification.

tensorflow.js-digit-recognition-using-webcam

build a complete web site that uses TensorFlow.js, capturing data from the web cam, and re-training mobilenet to recognize One, Two & Three gestures.

teslacybertruck-arduino

traffic-survalance-with-computer-vision-and-deep-learning

The system takes video footage of a highway as input and provides statistics like the count of vehicles and an average estimated speed of vehicles on the highway. The statistics provided by the system can have many applications. Like, pricing the billboards on a highway for advertisement, higher the count of vehicles, higher the price. Moreover, the government can use this statistic to know how many vehicles are entering a city each day. The system internally uses YOLO object detection algorithm for vehicle detection, followed by, Centroid Tracking algorithm for tracking the detected vehicles.