cesinata's Stars
vishalsingh020997/Emotion-Recognition-using-Facial-Landmarks
Emotion Recognition using Facial Landmarks, Python, DLib and OpenCV on fer2013 dataset
WuJie1010/Facial-Expression-Recognition.Pytorch
A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
rezasputra/Klasifikasi-Ekspresi-Wajah
Project ini dibuat untuk memenuhi syarat meraih gelar Sarjana Komputer, Dengan melakukan Klasifikasi Ekspresi Wajah Manusia menggunakan algoritme Local Binary Pattern (LBP) untuk ekstraksi fitur dan Support Vector Machine untuk klasifikasi.
krishnaik06/The-Grand-Complete-Data-Science-Materials
braindotai/Facial-Landmarks-Detection-Pytorch
Implementation of facial landmarks detection using pytorch on iBUG 300W dataset. Why Xception Net? Because it provides satisfactory accuracy, with least computational requirement and memory utilization, I mean can you believe that my model, which looks kinda massive, is only of 10MB!
vvsdev/kk-codebase
kelasterbuka/JAVA_dasar_programming