opencv3-python

A simple Drowsiness Detection module for humans. 😴 🚫 🚗

Webcam, PiCamera streaming over the network with Python made easy.

Given a number of input images, concatenate all images to produce a panoramic image using invariant features.

Fourier and Images

Counting the number of people in a video.

Player detection and ball detection in football matches using image processing(opencv).

A pre-compiled version of OpenCV 4 for Raspberry Pi optimized for deep learning / computer vision..

A computer vision based gesture detection system that automatically detects the number of fingers as a hand gesture and enables you to control simple button pressing games using you hand gestures.

A simple code demonstrating real-time Pose Estimation in webcam using OpenPose Python and OpenCV

Capture an image from the webcam of your system and save it to your machine.

Implementation of Lucas Kanade Tracking system using six parameter affine model and recursive Gauss-Newton process.

OpenCV 4.2 with Python3.8 and video support (FFMPEG, GStreamer, gPhoto2) based on Alpine Linux 3.10

Multiple cameras calibration and fusion with OpenCV Python.

Full build script for Open CV with/without cuda and bumblebee support

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

video stabilization: stabilize the videos which is taken from wavering camera. Image mosaicing: stitches multiple, overlapping snapshot images of a video together in order to produce one large image.

a self driving rc car using neural network and computer vision.

OpenCV OCR (Optical Character Recognition)

This repo can detect and track user's eyes and mouth and alert when the user is feeling drowsy.

This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using motor driver. This motor driver will move the robot in required directions. Neural Network is used to train the model by first driving the robot on the specially designed track by labeling the images with the directions to be taken. After the model is trained it can make accurate predictions by processing the images on computer. This approach is better than conventional method which is done by extracting specific feature from images.

🎵 A music player using emotion detection in near real time to select songs.

train/recognize face and detect landmark, using dlib and opencv

一些采用opencv3图像处理库做的一些项目，有检测人脸位置等

Python opencv notebooks using SIFT, SURF and feature matching using Brute-Force with ORB descriptors

This is a course depository from K. N. Toosi University of Technology. The course is Digital Image Processing taught by Dr. Yasser Maqsoudi and Seyed Ali Ahmadi in geomatics faculty of K.N.T. University of technology. The course material is currently uploaded in Google Classroom, but we are considering to distribute some of the material here for public usage. You can use the codes and theories of digital image processing freely with no licences; but using the slides and other copyrighted material without making citations is forbidden.

Detects pedestrians, cars, and lane lines. Uses OpenCV, Tensorflow, & mobilenet.

Problems discussed on (http://opencv-python-tutroals.readthedocs.io/en/latest/index.html) have been implemented. All the implementations are in Python3 and Opencv3 environment.

An AI in Python using Tensorflow and OpenCV to drive cars in computer games

simple visual odometry in python