Files relevant for my bachelor thesis on different automatic emotion recognition approaches
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Updated
May 26, 2024 - Jupyter Notebook
Files relevant for my bachelor thesis on different automatic emotion recognition approaches
Scripts for detecting and visualizing pose landmarks on images using MediaPipe, including upper body cropping and combined visualizations.
Implementation Landmark Detection Module from Fake It Till You Make It Face analysis in the wild using synthetic data alone
Open-source toolbox for visual fashion analysis based on PyTorch
Menpo's 2D deformable modelling toolkit (AAMs/CLMs/SDMs)
DETECTO App was built using Streamlit and OpenCV to demonstrate YOLO Object detection in both videos(pre-recorded) & images, Also Some More Features Like Identify the Landmarks Of the world,Image Processing,Feature Detection This YOLO object Detection project can detect 80 objects(i.e classes) in either a video or image.
Detecting Facial Landmarks on 3D Models Based on Geometric Properties
Area and Volume Algorithms on 3D Models
PyTorch-based toolkit for landmark detection
25581-Images-88-Facial-Landmarks-Annotation-Data
15-People-22-Landmarks-Annotation-Data-of-3D-Human-Body
87871-Images-of-106-Facial-Landmarks-Annotation-Data-complicated-scenes
Landmark classification using PyTorch neural networks and Jupyter Notebook.
A videogame that uses body pose classification via a webcam feed to engage players in an interactive experience.
Free to use online tool for labelling photos. https://makesense.ai
Landmark detection engine for 3D medical images (MICCAI workshop 2021)
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
In this tutorial, we will learn Hand Tracking in real-time. The best part is we don’t have to configure 100 parameters along with 20 installs to make it run. Within 5 to 10 mins you will have your model working. Video Link - https://youtu.be/C1MUbMW3g50
The project aims to build strong CNN image classification models to automatically predict the location of the image based on any landmarks depicted in an image.
Bone Age Maturity estimation using a Lateral Cephalogram X-ray image and deep neural networks (UNet)
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