yangyongjx Goto Github PK

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

millimap

milliMap in Pytorch (MobiSys'2020)

ml-application-on-network

Offering recent HAR papers collection

ml-zoo

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmfall

mmFall: Fall Detection using 4D MmWave Radar and Variational Recurrent Autoencoder

mmpose

mmPose: An Open-Source toolbox for Human Pose Estimation using mmWave Radars

mmwave

Python module for capturing/processing MMWave data from the TI DCA1000EVM Data Capture Card

mmwave-1

mmWave SDK examples based on Batman Kit mmWave Sensor module

mmwave-2

my Final Year Project - data extraction and models

mmwave-3

Object detection and tracking

mmwave-4

mmwave-filter

mmwave-localization-learning

🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency

mmwave-object-detection-and-visualization

make use of improved ros package for mmWave radar, finish raw data filter and position and velocity visualization of detected objects, and publish objects information.

mmwave-sensing-sustech

the repo of mmwave sensing project, which is held in sme, SUSTech.

mmwave-sensor-with-camera-interation-for-people-count

mmwave-user-recognition

Gait Based User Recognition from mmWave Radar Data

mmwave_depth

mmWave data & Depth image data Fusion

mmwave_gesture_iwr6843

mmwave_radar_indoor_false

mmwave_radar_learning_notebook

毫米波雷达、雷达原理Latex笔记。由于需要使用NI的IWR1443，学习记录了毫米波雷达的原理、雷达方程等知识。

mmwavedocs

mmWave Documents

mmwavepoi

mobile-client

Mobile acquisition and inferencing client

models

采用MegEngine实现的各种主流深度学习模型

mot_dataset

MOT/MTMC Datasets Collection

mpose_mmwave_sensing

My project mPose mmWave sensing

msdnet

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

mt76

mac80211 driver for MediaTek MT76x0e, MT76x2e, MT7603, MT7615, MT7628 and MT7688