MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
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Updated
Feb 6, 2021 - C
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP
Cortex M KWS example with Tengine Lite.
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
OpenCL for Nets - A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet). Friendly debugger. Transparent data. No library dependencies. 基于OpenCL的深度学习计算框架,C++开发,支持多层感知器,长短时记忆模型,卷积神经网络,残差网络。调试方便,数据透明。无外部依赖。
A python implementation of Patchy-San Convolutional Network for Graph
Face recognition using facenet
RESTful Web Service and C++ compilable version of YOLO written in C and CUDA for object detection.
CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
A teeny-tiny CNN that runs on a ESP32-Camera to read digits of a ordinary electricity meter.
使用卷积神经网络在STM32F401C-DISCO上实现人体活动识别
Detect dog bark from spectrogram classification using sndfile-tools and darknet
Mobilenet v1 (3,160,160, alpha=0.25, and 3,192,192, alpha=0.5) on STM32H7 using X-CUBE-AI v4.1.0
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