{"id":21358707,"url":"https://github.com/zceemja/amls_assignment_20-21","last_synced_at":"2025-06-20T03:06:34.985Z","repository":{"id":160468485,"uuid":"322366043","full_name":"zceemja/AMLS_ASSIGNMENT_20-21","owner":"zceemja","description":null,"archived":false,"fork":false,"pushed_at":"2020-12-18T22:57:33.000Z","size":4926,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-16T06:17:30.268Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/zceemja.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2020-12-17T17:28:41.000Z","updated_at":"2020-12-18T22:57:36.000Z","dependencies_parsed_at":"2023-06-04T04:45:29.987Z","dependency_job_id":null,"html_url":"https://github.com/zceemja/AMLS_ASSIGNMENT_20-21","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/zceemja/AMLS_ASSIGNMENT_20-21","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zceemja%2FAMLS_ASSIGNMENT_20-21","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zceemja%2FAMLS_ASSIGNMENT_20-21/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zceemja%2FAMLS_ASSIGNMENT_20-21/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zceemja%2FAMLS_ASSIGNMENT_20-21/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zceemja","download_url":"https://codeload.github.com/zceemja/AMLS_ASSIGNMENT_20-21/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zceemja%2FAMLS_ASSIGNMENT_20-21/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":260868885,"owners_count":23074960,"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":[],"created_at":"2024-11-22T05:21:42.763Z","updated_at":"2025-06-20T03:06:29.970Z","avatar_url":"https://github.com/zceemja.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# UCL ELEC0134 Assignment \n## Applied Machine Learning Systems\n\n## Key porints\n\n* Run project with **main.py**\n* Before running project check and adjust **settings.py**, you can specify _shape_predictor_68_face_landmarks.dat_ location if you have one, otherwise it will be downloaded. \n* In image grid window, any key will show next image batch, use `ESC` to exit.\n## Project structure\n\n### Directories\n * **A1, A2, B1, B2** - Each task is structured as python modules in their corresponding directories.\n * **Common** - Python module that contains code shared between task.\n * **Data** - Generated, cached or downloaded data. Can be changed in **settings.py**.\n * **Datasets** - All training and testing datasets.\n * **report** - Latex report source files.\n\n### File Roles\n * **main.py** - top level script that run each task\n * **settings.py** - contains all necessary settings for project to run, including dataset directory locations and other customisations.\n * **Common/common.py** - contains parent model class that is used in each task. Also setups logging.\n * **Common/face_detect.py** - all logic to detect faces, facial landmarks, and download necessary dependencies for them.\n * **Common/ui.py** - helper functions to build UI for graphs and images.\n * **Common/utils.py** - any other helper functions used throughout project.\n \n## Required Packages\n\nNote that this project uses python 3.9, however it should work with \u003e=3.5 because of typing support.\n\nUsed libraries:\n\n* tensorflow 2.4.0-rc4\n* numpy 1.19.4\n* dlib 19.21.1\n* cv2 4.5.0\n* sklearn 0.23.2\n* matplotlib 3.3.3 (only needed if `SHOW_GRAPHS=True`)\n* requests 2.25.0 (only needed to download missing models)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzceemja%2Famls_assignment_20-21","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzceemja%2Famls_assignment_20-21","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzceemja%2Famls_assignment_20-21/lists"}