{"id":18510310,"url":"https://github.com/amitness/major-project","last_synced_at":"2025-04-09T04:33:13.669Z","repository":{"id":30060997,"uuid":"107641908","full_name":"amitness/major-project","owner":"amitness","description":"Using power of deep learning to enhance resolution of videos","archived":false,"fork":false,"pushed_at":"2022-12-08T02:20:39.000Z","size":299740,"stargazers_count":18,"open_issues_count":14,"forks_count":5,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-23T23:26:28.662Z","etag":null,"topics":["cnn","deep-learning","django","gan","tensorflow"],"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/amitness.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}},"created_at":"2017-10-20T06:45:05.000Z","updated_at":"2024-12-23T12:03:57.000Z","dependencies_parsed_at":"2023-01-14T16:15:14.496Z","dependency_job_id":null,"html_url":"https://github.com/amitness/major-project","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amitness%2Fmajor-project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amitness%2Fmajor-project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amitness%2Fmajor-project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amitness%2Fmajor-project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/amitness","download_url":"https://codeload.github.com/amitness/major-project/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247980831,"owners_count":21027803,"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":["cnn","deep-learning","django","gan","tensorflow"],"created_at":"2024-11-06T15:22:43.672Z","updated_at":"2025-04-09T04:33:08.646Z","avatar_url":"https://github.com/amitness.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# major-project\n\n### Local Development\n* Clone this repository to your local machine\n  ```shell\n  git clone https://github.com/amitness/major-project\n  ```\n\n* In the directory where you placed the cloned repo, create a virtual environment for Python:\n  ```shell\n  pip install virtualenv\n  virtualenv -p python3 venv\n  ```\n* Activate your virtual environment\n  ```shell\n  source venv/bin/activate\n  ```\n\n* Install all required packages:\n  ```shell\n  pip install -r requirements.txt\n  ```\n* Install ffmpeg package\n  ```shell\n  sudo add-apt-repository ppa:mc3man/trusty-media\n  sudo apt-get update\n  sudo apt-get install ffmpeg\n  ```\n  \n  **Ubuntu 16.04**:  \n  ```sudo add-apt-repository ppa:jonathonf/ffmpeg-3```\n\n* For webapp, goto the webapp directory and run following command to install required frontend libraries.\n  ```\n  bower install\n  ```\n\n## License\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famitness%2Fmajor-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famitness%2Fmajor-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famitness%2Fmajor-project/lists"}