| oarriaga/face_classification |
5,477 |
|
0 |
0 |
over 2 years ago |
0 |
|
54 |
mit |
Python |
| Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV. |
| atulapra/Emotion-detection |
907 |
|
0 |
0 |
about 3 years ago |
0 |
|
12 |
mit |
Python |
| Real-time Facial Emotion Detection using deep learning |
| thoughtworksarts/EmoPy |
776 |
|
2 |
0 |
over 4 years ago |
3 |
October 17, 2018 |
14 |
agpl-3.0 |
Python |
| A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER) |
| omar178/Emotion-recognition |
693 |
|
0 |
0 |
over 4 years ago |
0 |
|
37 |
mit |
Python |
| Real time emotion recognition |
| WIKI2020/FacePose_pytorch |
591 |
|
0 |
0 |
almost 3 years ago |
0 |
|
120 |
mit |
Python |
| 🔥🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简，极快，高效是我们的宗旨) |
| xionghc/Facial-Expression-Recognition |
335 |
|
0 |
0 |
almost 8 years ago |
0 |
|
30 |
gpl-3.0 |
Python |
| Facial-Expression-Recognition in TensorFlow. Detecting faces in video and recognize the expression(emotion). |
| petercunha/Emotion |
298 |
|
0 |
0 |
about 6 years ago |
0 |
|
14 |
mit |
Python |
| :smile: Recognizes human faces and their corresponding emotions from a video or webcam feed. Powered by OpenCV and Deep Learning. |
| srianant/computer_vision |
162 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition |
| luca-m/emotime |
137 |
|
0 |
0 |
about 8 years ago |
0 |
|
15 |
|
C++ |
| Recognizing emotional states in faces |
| danduncan/HappyNet |
128 |
|
0 |
0 |
about 10 years ago |
0 |
|
7 |
|
Python |
| Convolutional neural network that does real-time emotion recognition. HappyNet detects faces in video and images, classifies the emotion on each face, then replaces each face with the correct emoji for that emotion. Based on Caffe and the "Emotions in the Wild" network available on Caffe model zoo. |
