{"id":16649005,"url":"https://github.com/jalajthanaki/facial_emotion_recognition_using_tensorflow","last_synced_at":"2026-03-09T15:33:09.238Z","repository":{"id":81621560,"uuid":"121967531","full_name":"jalajthanaki/Facial_emotion_recognition_using_TensorFlow","owner":"jalajthanaki","description":"I have used FER2013 dataset and try to build the Facial emotion recognition using 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unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["convolutional-neural-networks","facial-emotion-recognition","tensorflow"],"created_at":"2024-10-12T09:06:18.741Z","updated_at":"2026-03-09T15:33:09.217Z","avatar_url":"https://github.com/jalajthanaki.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Emotion recognition CNN based approach using TensorFlow\n\n\nThis repository is the out project about Face emotion recognition using convolutional neural network. \n\n![video_screenshot_16 02 2018](https://user-images.githubusercontent.com/12840374/36300907-0f8bfe86-1329-11e8-88c7-402236458387.png)\n\n## Dependencies\n\n- [NumPy](http://docs.scipy.org/doc/numpy-1.10.1/user/install.html)\n- [Tensorflow](https://www.tensorflow.org/versions/r0.8/get_started/os_setup.html)\n- [TFLearn](https://github.com/tflearn/tflearn#installation)\n- [OpenCV](https://opencv-python-tutroals.readthedocs.io/en/latest/)\n\n## Dataset\n\nWe use the [FER-2013 Faces Database](http://www.socsci.ru.nl:8180/RaFD2/RaFD?p=main), a set of 28,709 pictures of people displaying 7 emotional expressions (angry, disgusted, fearful, happy, sad, surprised and neutral).\n\nYou have to request for access to the dataset or you can get it on [Kraggle](https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data).\n\n\n## Download per-trained model and data in numpy format from this link.\n\n* Step 1: Download [data.zip](https://drive.google.com/open?id=1z74zDZDBbWOc_L62KYMbHT8McJ1vqFrw) file.\n* Step 2: Unzip the files.\n* Step 3: Paste all the files into the data folder of the repository\n\n## Train \n```bash\n$ python emotion_recognition.py train\n```\n\n## Test\n\n```bash\n$ python emotion_recognition.py poc\n```\n\n## Paper\n\n[Link](https://github.com/isseu/emotion-recognition-neural-networks/blob/master/paper/Report_NN.pdf)\n\n## Credit\n\nThis code credit goes to [Enrique Correa](https://github.com/isseu). I've merely created a wrapper to get people started.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjalajthanaki%2Ffacial_emotion_recognition_using_tensorflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjalajthanaki%2Ffacial_emotion_recognition_using_tensorflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjalajthanaki%2Ffacial_emotion_recognition_using_tensorflow/lists"}