Фреймворк компьютерного зрения для задач, детекции, сегментации, классификации, идентификации людей, анализа настроений и классификации действий
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Updated
Jun 24, 2024 - Python
Фреймворк компьютерного зрения для задач, детекции, сегментации, классификации, идентификации людей, анализа настроений и классификации действий
Recognizes faces via online or offline recignizer. Powered by OpenCV.
An University Project for the AI4Cybersecurity class.
A basic security program for identifying personnel using Processing i3 on a raspberry pi 3
Machine Learning model which uses kNN Algorithm & Computer Vision to recognise different faces
This Repository about some mini project about deep learning. likes Face Identification ...
Smart CCTV that uses a telegram bot and speaker to recognize a person's face and issue an alert if the face is not recognized.
Semester project
Application for finding the most similar person to you among known celebrities, politicians etc.
Implement a face recognition using insightface
Facial Keypoint Detection and Real-time Filtering
[WIP] - SUTD 2020 10.009 The Digital World 1D Project
Face recognition and identification using Haar cascades classifier and VGG-Face model
Step 1 : Register your Face : A. Take a video of few seconds of your face. B. Create samples of images from Video to train Convolutional Neural Network. C. Train the model with those images (class = 'YES') and some images that is not your face (class = 'NO') D. Convert the model output (.h5) into .mlmodel E. import it into your Xcode for Product…
In this thesis, we study two problems based on clustering algorithms. In the first problem, we study the role of visual attributes using an agglomerative clustering algorithm to whittle down the search area where the number of classes is high to improve the performance of clustering. We observe that as we add more attributes, the clustering perf…
Similarity between faces: One person resembles another person to a large degree. This can lead to many problems facing security surveillance systems. Facial recognition systems have difficulty distinguishing between the main person and other people who are highly similar in terms of features.
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