Search Results for "face detection" - Page 4

Libface is a cross platform framework for developing face recognition algorithms and testing its performance.

PyCV is a Python package of modules useful for computer vision tasks. Its current focus is on boosting techniques, Haar-like features, and face detection. PyCV provides the world's fastest method for training a face detector, in a few hours.

Basically the program detects face, extends and saved with the date and time of detection. Thus the operator can identify people from the files located within the PC memory.

Face detection part for the project Gestion Photo (a last year 3IL project)

This project covers an algorithm for face detection in color images. It was developed as a conclusion work in graduation of Computer Science at Pontifícia Universidade Católica de Minas Gerais by Breno Santos Araújo (brenopuc@gmail.com).

FaceFinder is to find faces in images/videos. Implemented by C++, FaceFinder has adopted face detection algorithms based on AdaBoost. The architecture enables more algorithms such as SVM, Neural Networks.

Java framework for face detection and face recognition based on different plugin and filter types. Includes Eigenfaces in pure Java, OpenCV detection via JNI, integration of the Betaface.com Web Service, skin color filter, Adobe XMP Export and a nice GUI

BioAuth is an application which tries to use face detection and recognition algorithms.

MPT is a toolbox that supplies cross-platform libraries for real-time perception primitives, including face detection, eye detection, blink detection, and color tracking.

Facis is a computer vision project based on OpenCV. It enables face detection and identification.

mms-300m-1130-forced-aligner is a multilingual forced alignment model based on Meta’s MMS-300M wav2vec2 checkpoint, adapted for Hugging Face’s Transformers library. It supports forced alignment between audio and corresponding text across 158 languages, offering broad multilingual coverage. The model enables accurate word- or phoneme-level timestamping using Connectionist Temporal Classification (CTC) emissions. Unlike other tools, it provides significant memory efficiency compared to the...