Bottlenecks in embedded computer vision | by Anton Maltsev | Medium
New technique enables on-device training using less than a quarter of a megabyte of memory
STM32Cube.AI and NVIDIA TAO Toolkit Deliver a 10x Performance Increase on an STM32H7 Running Vision AI - Edge AI and Vision Alliance
FP-AI-VISION1 - STM32Cube function pack for high performance STM32 with artificial intelligence (AI) application for Computer Vision - STMicroelectronics
AI:How to use transfer learning to perform image classification on STM32 - stm32mcu
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