{"id":20802324,"url":"https://github.com/onurmx/emotion-recognition","last_synced_at":"2025-03-12T03:13:30.810Z","repository":{"id":207893679,"uuid":"504044162","full_name":"onurmx/emotion-recognition","owner":"onurmx","description":"Emotion recognition from facial images using convolutional neural networks.","archived":false,"fork":false,"pushed_at":"2023-11-18T09:01:39.000Z","size":99,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-18T12:35:24.724Z","etag":null,"topics":["ckplus","computer-vision","convolutional-neural-networks","deep-learning","deep-neural-networks","emotion-recognition","fer2013-dataset","image-augmentation","image-classification","image-processing","image-recognition","kdef-dataset","machine-learning","pyside","pytorch","resnet","tensorflow","torch","torchvision","vgg"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/onurmx.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-06-16T06:50:00.000Z","updated_at":"2023-11-18T08:50:07.000Z","dependencies_parsed_at":null,"dependency_job_id":"8ab089bf-3da8-483b-a5b9-a0f2438f2b05","html_url":"https://github.com/onurmx/emotion-recognition","commit_stats":null,"previous_names":["onurmx/emotion-recognition"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/onurmx%2Femotion-recognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/onurmx%2Femotion-recognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/onurmx%2Femotion-recognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/onurmx%2Femotion-recognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/onurmx","download_url":"https://codeload.github.com/onurmx/emotion-recognition/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243147107,"owners_count":20243746,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["ckplus","computer-vision","convolutional-neural-networks","deep-learning","deep-neural-networks","emotion-recognition","fer2013-dataset","image-augmentation","image-classification","image-processing","image-recognition","kdef-dataset","machine-learning","pyside","pytorch","resnet","tensorflow","torch","torchvision","vgg"],"created_at":"2024-11-17T18:30:09.118Z","updated_at":"2025-03-12T03:13:30.805Z","avatar_url":"https://github.com/onurmx.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# emotion-recognition\nEmotion recognition from facial images using convolutional neural networks.\n\n## Classifiers\nResnet, VGG-16, and Onsunet convolutional neural network architectures are used.\n\n## Libraries\nPyTorch, TensorFlow libraries are used to implement convolutional neural networks. Each architecture has two variants for each libary.\n\nPySide is used to provide graphical user interface to application.\n\n## Datasets\nFER2013, KDEF, and CK+ datasets are used to train classifier. Each dataset is processed in both PyTorch and TensorFlow libraries.\n\n## Execution of the application\nTo execute the application, it is enough to run main.py file.\n\n```\npython main.py\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fonurmx%2Femotion-recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fonurmx%2Femotion-recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fonurmx%2Femotion-recognition/lists"}