Search Results for "opencv" - Page 2
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Showing 38 open source projects for "opencv"
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BossSensor
Hide screen when boss is approaching
...When the system detects that the trained face appears in the camera view, the program automatically triggers actions such as hiding the user’s screen or switching to a safe display. The software relies on libraries such as OpenCV, TensorFlow, and Python-based machine learning tools to perform face detection and classification. Training the system requires a dataset of labeled images representing the boss and other people so that the model can learn to differentiate between them. -
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twitchslam
A toy implementation of monocular SLAM written while livestreaming
...It processes ordinary video while estimating camera motion and building a map of observed 3D points. Frames contain extracted visual features, while map points retain their 2D correspondences across frames. OpenCV handles feature extraction, SDL2 provides a 2D view, and Pangolin renders the reconstructed map in 3D. The project includes pose optimization, projection-based point recovery, a kinematic model, and map loading and saving. It can run against sample Freiburg and KITTI-style videos and supports optional ground-truth data for comparison. -
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Face Recognition
World's simplest facial recognition api for Python & the command line
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a... -
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Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4. -
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OhodO
OhodO optical marks recogination
OhodO is optical marks recogination, written by python 3.6, opencv 3, tkinter. work with webcam of the laptop or usb webcam. -
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PyVision Computer Vision Toolkit
A Python computer vision library
PyVision is a object-oriented Computer Vision Toolkit for researchers that contains vision and machine learning algorithms and algorithm analysis and easily interfaces with scipy/numpy, PIL, opencv and other computer and machine learning libraries. -
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webcammy
A small command-line program for grabbing frames from cameras/webcams.
A small command-line program for grabbing single or multiple images from cameras and webcams. In essence, it is a python script which requires python 2.7 and the packages opencv. Program parameters can be controled via commandline arguments. -
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crosscenter
Program to compute cross center
Assisted program to compute the center of a cross in an image. It is based in python and opencv. Main target is massive data processing. Developed for my Ph.D. -
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pyShotDetect
(Auto-)Detect Video Scene Changes, output an edit list
...Given a .dv file automatically detect scene changes within that file (best performance on cuts and fade through/to black). Write a .kino file with each of the scenes for post-processing. Dependencies: (Python) openCV matplotlib Tkinter -
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PROYECTO DE GRADO PARA LA OBTENCIÓN DEL TÍTULO DE INGENIERÍA MAPAS DE ENTORNOS MEDIANTE NAVEGACIÓN DIFUSA Y UN SISTEMA DE TELEOPERACIÓN DE UNA PLATAFORMA PIONNER P3-DX Realizar un mapeo basico y un control difuso de velocidad para la plataforma Pionner P3-DX Requierimientos: -Aria y ArNetworking -Python 2.5 - 2.7 -pyGTK -openCV -pyfuzzy
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SimpleCV is a python framework for creating a more human readable programming interface to OpenCV.
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PyVocabularyTree
A vocabulary tree for image classification using OpenCV
A vocabulary tree for image classification have been designed to be integrated in mobile robotic applications. It is a learning schema based on decission trees, bags of features and inverted files. The design provides training and optimization parameters that have been characterized using several detectors and descriptors for several input datasets. Evaluation tests performed on public image databases allow to compare obtained results with previously published literature. All the tools... -
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