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二自由度云台实现人脸追踪。 首先是使用一款名字叫做IP摄像头的APP 采集手机摄像头的图像,在手机上建立一个视频流服务器。在局域网下,PC通过IP还有端口号获取图像。使用OpenCV的人脸检测的API获取人脸在画面中的位置,根据人脸位置距离画面中心的x轴与y轴的偏移量(offset) ,通过P比例控制(PID控制中最简单的一种)控制二自由度云台上臂与下臂的旋转角度,将角度信息通过串口通信UART发送给ESP32单片机(不限于ESP32,STM32,Arduino都可以)解析执行对应的操作,从而使得人脸尽可能处在画面的正中间。
This is the top-level repository for the Accel-Sim framework.
yolov3 with mobilenet v2 and ASFF
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020
COCO API - Dataset @ http://cocodataset.org/
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)
Simple Online Realtime Tracking with a Deep Association Metric
A project demonstrating use of Python for DeepStream sample apps given as a part of SDK (that are currently in C,C++).
代码 -《深度学习之PyTorch物体检测实战》
服务于极市平台开发者的项目,提供SDK接口文件规范与常见问题示例代码。欢迎所有开发者一起参与示例代码编写。
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
A pure torch implement of FCOS 37.2AP
A PyTorch Implementation of Feature Selective Anchor-Free Module for Single-Shot Object Detection (CVPR'19)
FSAF (Feature Selective Anchor-Free Module for Single-Shot Object Detection) implementation in Keras and Tensorflow
code for Region Proposal by Guided Anchoring
GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
FCOS (Fully Convolutional One-Stage Object Detection) implementation in Keras and Tensorflow
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
极市口罩检测 No.1
Models and examples built with TensorFlow
Latex code for making neural networks diagrams
Minimal PyTorch implementation of YOLOv4
《Pytorch模型训练实用教程》中配套代码
Simple, online, and realtime tracking of multiple objects in a video sequence.
An Open Source Machine Learning Framework for Everyone
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.