MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
Super fast face detection on Raspberry Pi 4
Face detection with MNN for Raspberry Pi 4
C++ implementation of "Mobile Vision Transformer-based Visual Object Tracking" (BMVC2023) and "Separable Self and Mixed Attention Transformers for Efficient Object Tracking" (WACV2024)
Single Object Tracking MNN Deployment (SiamRPN++)
Software for an assistive device for low-vision and blind individuals. Designed for the Raspberry Pi Compute Module 4 on a custom carryout board.
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