daringpig Goto Github PK

2017hosts

这里更新最新可用的上外网hosts，这里更新的分为手机版和电脑版，通常它们可以替代你大部分外网需求，敬请持续关注。

abc-feature-selection

Code from academic paper Data feature selection based on Artificial Bee Colony algorithm

abc_swarm

Ant Bee Cooperative Swarm, indicating air-ground cooperation. This repository is for Tianbot Mini and RoboMaster TT swarm kit.

abnormal-behavior-detection

Abnormal behavior detection in the video surveillance based on yolo darknet

abnormality-detection

acceleration_temp_logger

An arduino sketch that logs acceleration and temperature data from the ADXL335 and TMP36 sensors to an SD card.

accelerometer-data-logger

An Android App to poll the Accelerometer and Linear Acceleration Sensors and record the data to a text file.

aco

Ant colony for feature selection

aco_feature_selection_svm_classify

Ant colony optimization (aco) algorithm is used to select the features of hyperspectral remote sensing image bands,And then use Support Vector Machines(svm) to classify pixels.

action-detection

temporal action detection with SSN

actionrecognition

Action Recognition based on Pose Estimation. Graduation Project for Bachelor Degree.

activity-recognition-dof

Recognizing the activities of people by using dense optical flow

activity-recognition-using-accelerometer

This app recognizes actions such as Running, Walking and eating. Used LibSVM library for classification

activity-recognition-using-cell-phone-accelerometers

The project aims at building a working model to recognize the human activity using the accelerometer sensor of the mobile phone. The accelerometer senses the data and transfers the data to the local server. At the local server, we classify the recorded data based upon the UCI machine learnings dataset into 7 classes: sitting, standing, walking, walking and talking, standing and talking, going up/down stairs and working at the computer. The classified activity is presented to the user over an android application.

activity_detection

Feature Extraction for Human Activity Detection from RGBD Images

activity_recognition

Implementation and training of 1-D CNNs for Human Activity Recognition using PyTorch and WISDM dataset.

activitynet-video-downloader

This simple script is for downloading videos of ActivityNet dataset by parsing URLs from given .json file.

activityrecognition

Information about activity recognition

activityrecognition-1

Detecting user activity in android can de done very easily using ActivityRecognitionClient. You can detect user activities like Still, Running, Walking, Cycling, Tilting, Driving etc., We can see this API widely used in lot of fitness apps (like GoogleFit) to provide user activity info like number steps he is taken, the distance he is travelled.

activityrecognition-2

activityrecognition-3

Detect activity using mobile accelerometer data

activityrecognition-4

ActivityRecognition implementation in android

activityrecognition-for-android

This a android application. It can recognize six simple activities(sit stand walk run up-stairs down-stairs). It uses J48(weka version of c4.5) to implement. (BTW :this is my first reposiroty on GIthub *_* )

activityrecognitionflow

对原始数据集进行预处理，窗口划分，特征提取，特征融合，分类识别

adapting-the-wavenet-deep-learning-model-for-radar-classification

An investigation into radar classification. This project adapts the WaveNet deep learning model to classify radar data directly from the range profiles representation. This technique is compared with the leading approach in the literature of creating micro-Doppler spectrogram images from the data and classifying these images using a CNN.

advanced-aco

An Improved Ant Colony Optimization for Feature Selection

adxl335

A library to read the ADXL335 acceleration sensor

aifh

Artificial Intelligence for Humans

aircombat

My repo for porting a Godot tutorial to rust.

aircombaterl