Search Results for "face detection using java" - Page 5
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Showing 129 open source projects for "face detection using java"
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ICE Cafe is Open sourse sequence cromatgram alginer and viewer. The first purpose of this sofware is to find a RNA Editing by Comparing Genomic sequence to RNA sequence, or by using the ICE method developed at Suzuki Lab,Dept Chem&Biotech Tokyo Univ
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weka outlier is an implementation of outlier detection algorithms for WEKA. CODB (Class Outliers: Distance-Based) Algorithm is the first algorithm developed using WEKA framework.
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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).
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Easy Args java command line processing API is designed using annotations and reflection to greatly simplify the tasks involved in argument processing, including required argument detection, automatic type conversion, and the generation of usage help.
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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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GWT2SWF intend to provide software bridge between GWT and FLASH/FLEX. It means that using GWT2SWF you will be able to communicate between GWT and FLASH/FLEX. GWT2SWF provides SWFWidget and FlashPlayer version detection.
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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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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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ABPS - Advanced Branch Prediction Simulator - allows: branch prediction simulation using multiple predictors (GAg,PAg,PAp,GShare,Perceptron) and detection of unbiased branches. Results can be seen using charts. Used benchmarks: Stanford, SPEC2000, CBP2.
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JTextPro: A Java-based Text Processing tool that includes sentence boundary detection (using maximum entropy classifier), word tokenization (following Penn conventions), part-of-speech tagging (using CRFTagger), and phrase chunking (using CRFChunker).
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This is a Yet! Another Sentence Detector developed in Java using a Regular Expression-Based Boundary Sentence Detection approach that can be customized to work with any language.
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Face-detection-VB
face recognition software using OpenCv library and development face id
face recognition software using OpenCv library and development face identity pattern with detection object with full detail software description watch video : https://youtu.be/-U74iHcJJ48 -
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voice-activity-detection
Detects speech activity in audio using pyannote.audio 2.1 pipeline
The voice-activity-detection model by pyannote is a neural pipeline for detecting when speech occurs in audio recordings. Built on pyannote.audio 2.1, it identifies segments of active speech within any audio file, making it valuable for preprocessing tasks like transcription, diarization, or voice-controlled systems. The model was trained using datasets such as AMI, DIHARD, and VoxConverse, and it requires users to authenticate via Hugging Face for access. To use the model, users must accept... -
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nsfw_image_detection
ViT-based model for detecting NSFW images with high accuracy
The nsfw_image_detection model by Falconsai is a fine-tuned Vision Transformer (ViT) designed to classify images as either "normal" or "nsfw" (not safe for work). Based on the vit-base-patch16-224-in21k architecture, it was initially pre-trained on the ImageNet-21k dataset and then fine-tuned using a curated proprietary dataset of 80,000 diverse images. The model achieved a strong evaluation accuracy of 98%, thanks to carefully tuned hyperparameters like a batch size of 16 and a learning rate... -
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fairface_age_image_detection
ViT-based model that estimates a person's age group from an image
fairface_age_image_detection is a Vision Transformer (ViT)-based model fine-tuned to classify the age group of a person in an image. Built on top of google/vit-base-patch16-224-in21k, the model was trained using the FairFace dataset, which provides a diverse set of facial images across multiple age categories. It predicts one of nine age groups, ranging from “0–2” up to “70+”. On evaluation over 10,000 samples, the model achieves an overall accuracy of approximately 59%, with best performance... -
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eky-facerecognition-livenessdetection
Face recognition, Liveness detection, ID document recognition
This is the android project for ekyc by using face recognition, liveness detection and ID document recognition technologies. It works on premise meaning that user data never leaves the device(mobile phone, server, etc) Face recognition is super face and unbiased. It's using 3D passive liveness detection to detect printed photos, video replay, 3D masks and deep fakes. -
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adetailer
YOLOv8/YOLOv9-based detector for face, hand, person, and fashion data
adetailer is a collection of YOLOv8 and YOLOv9 object detection models optimized for detecting detailed features such as faces, hands, clothing, and full-body silhouettes. Developed by Bingsu using the Ultralytics YOLO framework, the models are trained on a variety of datasets including WIDER Face, DeepFashion2, and anime segmentation sets. It supports a wide range of detection targets from realistic human faces and hands to anime characters and fashion garments. The models come in various... -
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segmentation
Speaker segmentation model for voice activity and overlap detection
pyannote/segmentation is an advanced audio segmentation model designed for detecting speech activity, overlapping speech, and refining speaker diarization outputs. Built using pyannote.audio, it enables fine-grained, frame-level speaker segmentation from audio input. The model supports multiple pipelines such as Voice Activity Detection (VAD), Overlapped Speech Detection (OSD), and Resegmentation. It outputs either labeled time segments or raw probability scores indicating speech presence... -
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JFacedec is aimed to build a flexible face detection system based on Java. The plug-in framwork makes it easy for you to share your own Training & Detection Algorithms, compare different methods and make progress together in this field.
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ennids
Entropy Network Intrusion Detection System
Detecting malicious network traffic using entropy based methods. -
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paraphrase-multilingual-mpnet-base-v2
Multilingual sentence embeddings for search and similarity tasks
paraphrase-multilingual-mpnet-base-v2 is a sentence-transformers model designed to generate dense vector representations of sentences and paragraphs in 50 languages. Developed by the Sentence Transformers team, it is particularly well-suited for tasks like semantic search, clustering, and paraphrase detection. The model maps input text to a 768-dimensional vector space, making it easy to compare the semantic meaning of different sentences. Based on the XLM-RoBERTa architecture and trained using... -
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all-mpnet-base-v2
Semantic sentence embeddings for clustering and search tasks
all-mpnet-base-v2 is a sentence embedding model from the Sentence-Transformers library that maps English sentences and paragraphs into dense 768-dimensional vector representations. Based on the microsoft/mpnet-base transformer, the model is fine-tuned using over 1.17 billion sentence pairs via contrastive learning to perform tasks such as semantic search, information retrieval, clustering, and similarity detection. It supports both PyTorch and ONNX, and can be used via SentenceTransformers... -
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mms-300m-1130-forced-aligner
CTC-based forced aligner for audio-text in 158 languages
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...
