AasaiAlangaram's Projects
Machine learning, Deep Learning, CNN with PyTorch
Streaming your rpi camera data through web
Coursera ML Specialization Regression Python Implementation
Repository for RUST Programming
Vector SIL Kit β Open-Source Library for Connecting Software-in-the-Loop Environments
STM32 Working Programs
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π― Materials to help you rock your next coding interview
Tensorflow Exercise Notebooks
Apk Files for Object Classification, Cat and dog classification.
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.
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.