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Источник @procode404 · Post #3715 · 22 авг.

​🐍Распознавание лиц на Python Хороший плейлист, который введет вас в тему машинного обучения без предварительных теоретических знаний. 1. Установка dlib на Linux Ubuntu [3:01] 2. Библиотека Pillow [15:40] 3. Тренируем модель [12:03] 4. Cобираем датасет из скриншотов по видео [10:57] 5. Распознавание лиц и OpenCV [10:07] Перейти к плейлисту #python

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@githubtrending · Post #15384 · 02.01.2026, 12:00

#other#awesome#chartjs#charts#integrations#plugins#resources Chart.js is a flexible JavaScript library for creating interactive charts with extensive customization options. You can use it with popular frameworks like React, Vue, and Angular through dedicated adapters, and extend its functionality with plugins for styling, features, and data handling. The library supports three major versions—v2 (April 2016), v3 (April 2021), and v4 (November 2022)—each with different plugin compatibility. This means you can choose the version that best fits your project needs and find compatible extensions for charts, animations, zooming, data labels, and more. Whether you need basic charts or advanced visualizations with custom interactions, Chart.js provides the tools to build professional data displays efficiently. https://github.com/chartjs/awesome