Assignments and Projects done in summer elective on Neural Networks.
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Updated
Jul 18, 2016 - Yacc
Assignments and Projects done in summer elective on Neural Networks.
Lane detection model for mobile device via MNN project
Android face detection 30+ FPS, pretrained weight 1MB.
Android face detection with landmarks. Neural networks. MNN.
Real time portrait matting on mobile phone using MNN inference engine.
A tensorflow implement mobilenetv3 centernet, which can be easily deployeed on android(MNN) and ios(CoreML).
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.
Face detection with MNN for Raspberry Pi 4
Face detection with MNN on a Jetson Nano
deploy deep learning model with MNN
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