Utilizing advanced deep learning models to extract the most emotional moments
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Updated
Jan 21, 2024 - Jupyter Notebook
Utilizing advanced deep learning models to extract the most emotional moments
FaceXlib plus aims at providing ready-to-use face-related functions based on current SOTA or most popular open-source methods while be compatible with facexlib.
This repo repersenting different face biometrics evalutions and their user friendly application
Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables
Worked on AFLW2000-3D dataset which is a dataset of 2000 images. The regression model of predicting the 3 angles (pitch - yaw - roll) of head pose estimation was XGboost Regressor.
Kiosk and sensor code for the interactive installation, 'Eau De Data'
Headpose estimation using transfer learning over pretrained vision models
基于人脸检测和头部姿态识别的疲劳驾驶低头检测,使用pyQT构建界面(摄像头检测、警报信息显示)
Application to support teachers to manage and monitor students in online classroom. The technicals used are Face Verification and HeadPose Estimation
Head Pose Estimation using OpenVino
colab file to test hopenet for head pose estimation using mtcnn for face detection
ML Based Proctoring System using various python libraries and modules
🔥🔥 Deep Learning Head Pose Estimation using PyTorch.
Scientific research 2022 about Head Pose Estimation using modified FSA Net
Estimator for pitch, yaw, and roll values of head
[IEEE T-BIOM] FaceXBench: Evaluating Multimodal LLMs on Face Understanding
deep learning vision detector/estimator
Wake&Brake is a fatigue detector composing several algorithms uploaded in raspberry pi with arduino as haptic actuator
Head Pose Estimation library in Tensorflow 2
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