opencv3-python
There are 12 repositories under opencv3-python topic.
akshaybahadur21 / Drowsiness_Detection
A simple Drowsiness Detection module for humans. 😴 🚫 🚗
Language:Jupyter Notebook 492Avinash793 / panoramic-image-stitching
Create panorama image using invariant features from given set of overlapping images.
Language:Python 217CT83 / SmoothStream
Webcam, PiCamera streaming over the network with Python made easy.
Language:Python 198thinking-tower / Fourier-and-Images
Fourier and Images
Language:Python 85kevinam99 / capturing-images-from-webcam-using-opencv-python
Capture an image from the webcam of your system and save it to your machine.
Language:Python 70KananVyas / PlayerDetection
Player detection and ball detection in football matches using image processing(opencv).
Language:Python 65Nikhil-Kasukurthi / Counting-people-video
Counting the number of people in a video.
Language:Python 65dlime / Faster_OpenCV_4_Raspberry_Pi
A pre-compiled version of OpenCV 4 for Raspberry Pi optimized for deep learning / computer vision..
Language:C++ 59nishagandhi / OpenPose_PythonOpenCV
A simple code demonstrating real-time Pose Estimation in webcam using OpenPose Python and OpenCV
Language:Python 53soumik12345 / Kinect-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.
Language:Jupyter Notebook 53a1rb4Ck / camera-fusion
Multiple cameras calibration and fusion with OpenCV Python.
Language:Python 36Seyed-Ali-Ahmadi / Digital-Image-Processing
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.
Language:Jupyter Notebook 31noorkhokhar99 / Pothole-Detection-Pothole-Detection-using-python-and-deep-learning
Pothole Detection || Pothole Detection using python and deep learning
Language:Python 28swarnim1212 / driver_fatigue_detection
This repo can detect and track user's eyes and mouth and alert when the user is feeling drowsy.
Language:Python 27czeni / opencv-video-minimal
OpenCV 4.2 with Python3.8 and video support (FFMPEG, GStreamer, gPhoto2) based on Alpine Linux 3.10
Language:Dockerfile 26sichkar-valentyn / Neural_Networks_for_Computer_Vision
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
Language:Jupyter Notebook 23whizzzkid / opencv-complete-build-cuda
Full build script for Open CV with/without cuda and bumblebee support
Language:Shell 23aydinnyunus / OpenCV-OCR
OpenCV OCR (Optical Character Recognition)
Language:Python 17- Self-Driving-Robot-Using-Neural-Network
akshaymogaveera / Self-Driving-Robot-Using-Neural-Network
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.
Language:Python 15 RahulParajuli / OpenCV-ComputerVisionBasics
All computer vision exercises from basic, this repository is extremely handy for all the beginners out there.
Language:Python 15Culeshovi / Self-Driving-RC-car
a self driving rc car using neural network and computer vision.
Language:Python 13harleyszhang / opencv_samples
一些采用opencv3图像处理库做的一些项目，有检测人脸位置、人脸特效、头顶加LOGO等
Language:Jupyter Notebook 11fooock / opencv-notebooks
Python opencv notebooks using SIFT, SURF and feature matching using Brute-Force with ORB descriptors
Language:Jupyter Notebook 10karantyagi / emotion-recognizing-music-player
🎵 A music player using emotion detection in near real time to select songs.
Language:Python 10leeyunjai / simple-face-recognition
train/recognize face and detect landmark, using dlib and opencv
Language:Python 9ashraf-minhaj / ChikonEye_a-third-eye-app-which-protects-your-work-from-peepers.
A program that watches your back while working on your pc and locks the screen if it sees some1 unauthorized watching at your work- thus protects your valuable work or sometimes saves the personality.
Language:Python 8- Language:Jupyter Notebook 8
fMeow / document-scanner
A opencv4 and scikit-image based python digital image document scanner.
Language:Python 8weapon detection python opencv with yolov5
Language:Python 7- Language:Python 7
- Drowsiness-Detection-OpenCV
prakhargurawa / Drowsiness-Detection-OpenCV
Python application to assist drivers to alert when they feel drowsy and thus reduce the number of accidents.
Language:Python 6 AlessioMichelassi / openPyVision_013
Welcome to my project. OpenPyVision is a real time videoMixer based on opencv and pyqt6.
Language:Python 5Ali-Ahmadi / Digital-Image-Processing
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.
Language:Jupyter Notebook 5mujahid14916 / Face-Recognition
Face Detection and Recognition system achieved with Deep Learning.
Language:Python 5nvinayvarma189 / Specific-object-recognition
When given different views of an object as input, it can tell us if that specific object is present in a larger picture or not.
Language:Python 5- Language:Jupyter Notebook 5
