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...If you are interested in it and want to learn how it works but do not know how to get started, you can choose to purchase my recorded video lessons. It details the development architecture and the development process of the entire software, and help you develop QtScrcpy from scratch.
Starter code for working with the YouTube-8M dataset
...It was developed to support the YouTube-8M Video Understanding Challenge (hosted on Kaggle and featured at ICCV 2019), enabling researchers and practitioners to benchmark video classification models on large-scale datasets with over millions of labeled videos. The code demonstrates how to process frame-level features, train logistic and deep learning models, evaluate them using metrics like global Average Precision (gAP) and mean Average Precision (mAP), and export trained models for MediaPipe inference.
MIDI Rules is a Rule-Based MIDI Processing Environment that can process (translate, map, convert, filter, trigger, route) MIDI messages. It supports multiple MIDI inputs/outputs, variables (enables state-based processing) and timed/delayed messages.