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Source channel @githubtrending · Post #14949 · Jul 12

#jupyter_notebook#darknet#pytorch#scaled_yolov4#yolor#yolov3#yolov4#yolov7 YOLOv7 is a powerful tool for detecting objects in images and videos. It is fast, accurate, and can work well on devices with limited power, making it useful for real-time applications like self-driving cars and surveillance systems. YOLOv7 uses advanced techniques like Feature Pyramid Networks to detect objects of different sizes and can handle complex scenes with overlapping objects. This makes it beneficial for users who need quick and precise object detection in various environments. https://github.com/WongKinYiu/yolov7

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@AlterTG · Post #3176 · 08/21/2021, 06:38 PM

Установка Kotatogram на macOS¹: 1. Открываем dmg файл 2. Копируем Kotatogram из dmg образа 3. Кладём его в "/Applications"² через шестерёнку 4. Запускаем терминал³ 5. Вводим "xattr -r -d com.apple.quarantine /Applications/Kotatogram.app" 6. Запускаем Kotatogram из папки Applications ¹ - Требуется macOS Catalina или новее ² - Папка «Программы» в Finder ³ - Launchpad → Поиск → Терминал Спасибо за подсказки: @IlyaFedin, @smartman_ru, @Kylmakalle #Install#Run#Kotatogram#macOS#Catalina #Установка#Запуск#Котатограм#макос#макось