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📊 PyTracking — универсальный фреймворк для визуального трекинга на Python. Этот проект объединяет под одной крышей передовые алгоритмы отслеживания объектов в видео, от классических подходов до трансформерных архитектур.

Инструмент имеет поддержку сразу нескольких трекеров — TaMOs для одновременного отслеживания множества объектов, RTS с сегментацией вместо bounding box’ов и ToMP с предсказанием на основе Transformer. Хотя код написан на PyTorch и требует GPU для тренировки моделей, разработчики постарались сделать инфраструктуру максимально модульной. Здесь есть всё: от готовых датасетов до инструментов для оценки точности.

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@machinelearning_ru

Машинное обучение RU
📊 PyTracking — универсальный фреймворк для визуального трекинга на Python. Этот проект объединяет под одной крышей передовые алгоритмы отслеживания объектов в видео, от классических подходов до трансформерных архитектур.

Инструмент имеет поддержку сразу нескольких трекеров — TaMOs для одновременного отслеживания множества объектов, RTS с сегментацией вместо bounding box’ов и ToMP с предсказанием на основе Transformer. Хотя код написан на PyTorch и требует GPU для тренировки моделей, разработчики постарались сделать инфраструктуру максимально модульной. Здесь есть всё: от готовых датасетов до инструментов для оценки точности.

🤖 GitHub

@machinelearning_ru
hottg.com/machinelearning_ru/2746
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📊 PyTracking — универсальный фреймворк для визуального трекинга на Python. Этот проект объединяет под одной крышей передовые алгоритмы отслеживания объектов в видео

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