🎯 ТОП-5 структур данных для обработки изображений
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Как компьютеры «видят» изображения?
Какие структуры помогают выделять объекты, экономить память и ускорять алгоритмы?
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В этом посте — ключевые структуры, без которых не обойтись в компьютерном зрении:
🔹 Матрицы
🔹 Цепи
🔹 Графы
🔹 Пирамиды
🔹 Квадродеревья
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Если хотите узнать больше — полная статья по ссылке: https://proglib.io/sh/nitr6FEIjR
Библиотека дата-сайентиста #буст
BY Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение
The messaging service and social-media platform owes creditors roughly $700 million by the end of April, according to people briefed on the company’s plans and loan documents viewed by The Wall Street Journal. At the same time, Telegram Group Inc. must cover rising equipment and bandwidth expenses because of its rapid growth, despite going years without attempting to generate revenue.
That growth environment will include rising inflation and interest rates. Those upward shifts naturally accompany healthy growth periods as the demand for resources, products and services rise. Importantly, the Federal Reserve has laid out the rationale for not interfering with that natural growth transition.It's not exactly a fad, but there is a widespread willingness to pay up for a growth story. Classic fundamental analysis takes a back seat. Even negative earnings are ignored. In fact, positive earnings seem to be a limiting measure, producing the question, "Is that all you've got?" The preference is a vision of untold riches when the exciting story plays out as expected.
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