Search Results for "face recognition using java" - Page 3
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Showing 68 open source projects for "face recognition using java"
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Libface is a cross platform framework for developing face recognition algorithms and testing its performance.
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Stylus/Handwriting Input Panel. This is a user-configurable, gesture-aware keyboard/handwriting input panel for text entry on Linux (and other) tablet computers using the X11 system. Needs Ink2Text (<=best) or MSInkServer project for recognition.
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Mostly academic research Project about next generation computing (Software only), trying to find new ideas and solutions how computers can work in the future using technologies like voice recognition and synthesisation. Everyone is invited to join in
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TCR Neuroph - Text Character Recognition is java tool developed to recognize scanned text , using Java Neural Network Framework - Neuroph
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GlueFace is a Java application for adding lipsync'ed facial animation to BrickFilms (Lego-style) films. The position, size, rotation and 3D spin can be modified using a timeline, so the face "sticks" accurately to the character.
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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
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OpenNeuron is a neural networks implementation written in Java. Currently supports only Kohonen Network model, but API is designed to be easily extended to model other network types. This implementation was used for face thermal pictures recognition.
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This project is an attempt to solve issues we face while using hibernate.Currently solving these four problems: 1)Updating object delete null data. 2)Projection returns list of object[] instead of pojo. 3)Don't write HQL 4)Paging logic rewrit
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A handwritten number recognition system was developed by using image processing and neural network technique. The system was developed in Java. Other applications which make use of image processing and neural network technique will be published too.
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JEquation provides an intuitive and fast way to input mathematical expressions into latex documents by using prestructured neural network based handwriting recognition.
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The OpenCV DLLCapture project goal is to provide an easy way for using the Intel OpenCV library face recognition feature within custom built applications.
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Mouse Gestures is an open source (LGPL) pure Java library for recognition and processing mouse gestures. With Mouse Gestures you have a fast way to execute commands without using the keyboard, menus or toolbars. Compatible with JDK1.3, JDK1.4 and JDK1.5.
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xmillum is a framework for visualizing document recognition results and for creating interactive document recognition applications. It can be freely extended using Java plugins.
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wav2vec2-large-xlsr-53-portuguese
Portuguese ASR model fine-tuned on XLSR-53 for 16kHz audio input
...It achieves a WER of 11.3% (or 9.01% with LM) on Common Voice test data, demonstrating high accuracy for a single-language ASR model. Inference can be done using HuggingSound or via a custom PyTorch script using Hugging Face Transformers and Librosa. Training scripts and evaluation methods are open source and available on GitHub. It is released under the Apache 2.0 license and intended for ASR tasks in Brazilian Portuguese. -
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wav2vec2-large-xlsr-53-russian
Russian ASR model fine-tuned on Common Voice and CSS10 datasets
wav2vec2-large-xlsr-53-russian is a fine-tuned automatic speech recognition (ASR) model based on Facebook’s wav2vec2-large-xlsr-53 and optimized for Russian. It was trained using Mozilla’s Common Voice 6.1 and CSS10 datasets to recognize Russian speech with high accuracy. The model operates best with audio sampled at 16kHz and can transcribe Russian speech directly without a language model. It achieves a Word Error Rate (WER) of 13.3% and Character Error Rate (CER) of 2.88% on the Common Voice test set, with even better results when used with a language model. ... -
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Bio_ClinicalBERT
ClinicalBERT model trained on MIMIC notes for clinical NLP tasks
Bio_ClinicalBERT is a domain-specific language model tailored for clinical natural language processing (NLP), extending BioBERT with additional training on clinical notes. It was initialized from BioBERT-Base v1.0 and further pre-trained on all clinical notes from the MIMIC-III database (~880M words), which includes ICU patient records. The training focused on improving performance in tasks like named entity recognition and natural language inference within the healthcare domain. Notes were...
