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Source channel @githubtrending · Post #15271 · Nov 5

#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite

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Libreware

@libreware · Post #1007 · 11/05/2021, 12:54 AM

We just pushed the V1.2 of the Beechat Crank to our GitHub @beechatnetwork2 Beechat Crank is a human-powered, open-hardware, fully-waterproof, electricity generator. The project was born out of the need to power electronics in all off-grid scenarios. We needed a way to power our devices in all weather conditions, and making a human-powered generator meant that problem could be solved. When we looked for a solution, we didn't find what we were looking for, so we decided to make it, and make it open source! https://github.com/BeechatNetworkSystemsLtd/BeechatCrank/ Features High power (3A) USB-C IPX8 output 18650 3600 mAh battery (LG M36) Charging time of 4 hrs 24 min. to full charge with 10% efficiency loss at 4.5 Watts. Overcharge protection Parts Beechat Crank is composed of the main device, which we call the Heart. It contains the battery, the generator and all the electronics (the handle is detachable) The Pedal Case is an assembly which the Heart can be attached in. which dramatically speeds up the charging from 2.5 hours to 25-30 minutes. This is achieved with reduction gears to, with the same revolutions per minute, generate more electricity. Generator part We have chosen the 35L048B1B motor with a mass of 88 grams, giving us us 450 mA for each phase of the coil and works at 5V. The wire leads are connected via female Molex connectors to the charging PCB board. New modifications: * Added a Molex type connector to the PCB to connect the motor. * The Zener diodes were changed, by means of a rectifier bridge. * A new and improved Texas Instruments brand battery management chip was selected. * Added a boost converter to allow different voltage batteries. * New Portescap brand two-phase generator with 90% efficiency and peak power of 4.5 Watts was selected. #crank#beechat

Libreware

@libreware · Post #1295 · 06/21/2024, 11:55 AM

Last weekend we presented the Beechat Rune device for the very first time, as part of the Volla Community days in Germany. Featuring 4 simultaneous streams, capable of audio and video streams with next-gen CRYSTALS cryptography, the Beechat Rune is a perfect addition to privacy-focused systems. @beechatnetwork2 #beechat#mesh#p2p