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Source channel @githubtrending · Post #14659 · May 1

#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

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@mdmbeng · Post #2191 · 10/03/2024, 04:28 AM

#iPhone16#Pixel9 iPhone 16 Pro Max在相机比拼中胜过Pixel 9 Pro XL 在多种光线条件下的拍摄对比中,iPhone 16 Pro Max凭借更好的亮度、色彩和细节保留能力小胜Pixel 9 Pro XL。 尽管Pixel在户外暖色调和5倍变焦方面表现出色,但iPhone在室内、全景拍摄、以及复杂场景中的处理优势明显。尤其是在夜间拍摄和保持自然色调方面,iPhone表现得更加逼真。 最终,评测者认为iPhone的图像更自然,更具后期编辑的基础,因此宣布iPhone 16 Pro Max胜出。 频道:@mdmbeng 投稿:@mdmbeng_Bot