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소스 채널 @phpdevelopersuz · Post #3001 · 1월 6일

3x4 rasmni Photoshop'siz tayyorlaymiz! (+kostyum kiydiramiz) #videodars / #media / #ofis ℹ️ Hujjatlar tayyorlashda kerak bo'ladigan 3x4 yoki 3.5x4.5 va boshqa formatdagi rasmlarni hech qanday studiyaga bormasdan, Photoshop dasturini ishlatmagan holatda tayyorlaymiz. Qo'shimchasiga kerakli kiyimni ham kiydiramiz :) ✅ Buning uchun eng avvalo telefonimizda 3x4 rasm uchun chiroyli selfi rasmga tushamiz. Rasmni videoda ko'rsatilgandek dastur yordamida tahrirlaymiz va tayyor! 🔻Videoda ishlatilgan dastur: PhotoDoc PRO 9.35 ▶️YouTube'da ko'rish (HD) ⏳: 05:26 💾: 21.3 MB (1080p) 💻 Kompyuterni birga o'rganamiz ⤵️ TelegramIYouTubeIXarita

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@githubtrending · Post #14659 · 2025. 05. 01. PM 03:30

#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN