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awesome-drones-zh

无人机资源汇总

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

computer-organization-lab

中山大学计算机组成原理实验 (2018 秋)：用 Verilog 设计并实现的简易单周期和多周期 CPU

e200_opensource

Deprecated, please go to next generation Ultra-Low Power RISC-V Core https://github.com/riscv-mcu/e203_hbirdv2

fpga

帮助大家进行FPGA的入门，分享FPGA相关的优秀文章，优秀项目

fpga-1

数字IC相关资料

ielts

剑桥雅思

image_processing_algorithms

Image processing algorithm implementations. Includes Nearest-Neighbor, Bilinear, Bicubic Interpolation, Skeletonization, Hough Transform, Convolution and Sobel operators, Median Filter.

imageresizer

Tool capable of resizing images using the nearest neighbor, bilinear interpolation and bicubic interpolation algorithms. Written in Qt/C++.

imagerotator

Image rotator capable of rotating images using the Nearest Neighbor or bilinear interpolation algorithms. Written in Qt/C++.

liuqdev-8-bits-risc-cpu-verilog

Architecture and Verilog Implementation of 8-bits RISC CPU based on FSM. 基于有限状态机的8位RISC（精简指令集）CPU（**处理器）简单结构和Verilog实现。

mynewreository

nv12_scale

resizing NV12 format image using Nearest Neighbor Interpolation and Bilinear interpolation algorithms

picorv32

PicoRV32 - A Size-Optimized RISC-V CPU

posenet-python

A Python port of Google TensorFlow.js PoseNet (Real-time Human Pose Estimation)

posture-advisor

A small tool which observes the sitting posture via webcam and gives visual feedback about the quality of a healthy sitting posture.

posture-and-fall-detection-system-using-3d-motion-sensors

This work presents a supervised learning approach for training a posture detection classifier, and implementing a fall detection system using the posture classification results as inputs with a Microsoft Kinect v2 sensor. The Kinect v2 skeleton tracking provides 3D depth coordinates for 25 body parts. We use these depth coordinates to extract seven features consisting of the height of the subject and six angles between certain body parts. These features are then fed into a fully connected neural network that outputs one of three considered postures for the subject: standing, sitting, or lying down. An average classification rate of over 99.30% for all three postures was achieved on test data consisting of multiple subjects where the subjects were not even facing the Kinect depth camera most of the time and were located in different locations. These results show the feasibility to classify human postures with the proposed setup independently of the location of the subject in the room and orientation to the 3D sensor.

qing-2-cpu

单周期 8指令 MIPS32CPU

sitting-posture-recognition

Detects the sitting position of a person

sittingposturedetection

Children's sitting posture detecting with PifPaf、YOLOv5、 DSST and Reid.

sittingpostureprediction

Predicting sitting position using head pose estimation.

survivesjtumanual

更新2008年版本的《上海交通大学生存手册》gitbook发布于https://survivesjtu.gitbook.io/survivesjtumanual/

verilog_demo