🎥 Python and OpenCV-based scene cut/transition detection program & library.
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 project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.
Rectify and stitch images together using multiview geometry.
使用OpenCV实现色块追踪 为了方便大家入门OpenCV以及使用OpenCV实现颜色识别, 阿凯编写了相关的上位机脚本, 同时也有. 刚开始的时候, 你的精力可以放在算法流程上面, 没必要在前期过于关注代码的细节. 脚本的代码阿凯也是逐行注释的, 也可以作为你的项目参考 .
Capture and Selectively Send Images and Sensor Data; detect Motion; detect Light
Face recognition via voice Commands (OpenCV Python + SpeechRecognition 3.1.3)
Using OpenCV and OpenPose to recognize reference poses.
A simple django application to read and generate 1D barcodes and QR codes
A simple video annotation made with python + OpenCV for detection in YoloV2 format
Detect QRCode and BarCode using OpenCV in Python
🖼️ This repository contains ready to run code for the following image processing techniques: Image Gradient, Image Smoothness, Image Histogram (Intensity Histogram) and Structural Similarity Index Measure (SSIM) of Two Images
A GUI Bot collection for OSRS (OldSchool RuneScape (tm)) using AutoPy and OpenCV for automating different processes. Repository also contains several blind coordinate clicker bots to serve the purpose until guibots have been finished.
we all are use Google Meet and Zoom for online meetings. One of the biggest problems during these online meetings is muting and unmuting the microphone. To solve this problem I created this project using Python and OprnCV. This system automatically unmuting your microphone when you speak during the meetings and automatically mute when you don't
Apply face stabilization with Python
Control music player with hand gestures
In this project , we have created a face blur using opencv (python) . Wherever your face is detected it will get blur.
📘 Add names in the certificates using the Python3 and open-cv.
Use a neural network for image recognition to digitize your water meter and store the values in InfluxDB
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