{"id":23090874,"url":"https://github.com/matheusafonseca/streamlit-studies","last_synced_at":"2026-04-11T17:48:53.246Z","repository":{"id":268168113,"uuid":"903522105","full_name":"matheusAFONSECA/streamlit-studies","owner":"matheusAFONSECA","description":"A repository dedicated to storing code specifically for the Streamlit framework.","archived":false,"fork":false,"pushed_at":"2024-12-21T23:04:14.000Z","size":34,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-03T18:16:14.708Z","etag":null,"topics":["css","css-styles","docker","docker-compose","dockerfile","opencv","opencv-haar-cascade","opencv-python","python","python3","streamlit","streamlit-framework"],"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/matheusAFONSECA.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":"2024-12-14T20:16:51.000Z","updated_at":"2024-12-21T23:04:17.000Z","dependencies_parsed_at":null,"dependency_job_id":"0b37b955-1cbf-4145-ac3d-208aa2ebea1e","html_url":"https://github.com/matheusAFONSECA/streamlit-studies","commit_stats":{"total_commits":14,"total_committers":1,"mean_commits":14.0,"dds":0.0,"last_synced_commit":"b417e5c7426febaf9b1d68685537a0d09b2a4a34"},"previous_names":["matheusafonseca/streamlit-studies"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/matheusAFONSECA/streamlit-studies","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matheusAFONSECA%2Fstreamlit-studies","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matheusAFONSECA%2Fstreamlit-studies/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matheusAFONSECA%2Fstreamlit-studies/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matheusAFONSECA%2Fstreamlit-studies/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/matheusAFONSECA","download_url":"https://codeload.github.com/matheusAFONSECA/streamlit-studies/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matheusAFONSECA%2Fstreamlit-studies/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261883152,"owners_count":23224442,"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":["css","css-styles","docker","docker-compose","dockerfile","opencv","opencv-haar-cascade","opencv-python","python","python3","streamlit","streamlit-framework"],"created_at":"2024-12-16T21:16:26.232Z","updated_at":"2026-04-11T17:48:48.204Z","avatar_url":"https://github.com/matheusAFONSECA.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# streamlit-studies\n\n![Python](https://img.shields.io/badge/language-Python-yellow) \n![Streamlit](https://img.shields.io/badge/framework-Streamlit-red)\n\nA repository dedicated to storing code specifically for the ``Streamlit`` framework.\n\n## Index\n\n- [Projects](#projects)\n  - [Detection of Faces and Video Recording](#detection-of-faces-and-video-recording)\n- [How to run](#how-to-run)\n- [Authors](#authors)\n\n## Projects\n\nThis repository contains various mini-projects designed to explore and showcase the different components and capabilities of the Streamlit framework. These projects also demonstrate techniques for integrating custom components using ``CSS`` to create visually appealing layouts.\n\n### Detection of Faces and Video Recording\n\nThis project focuses on integrating a real-time camera feed with a Streamlit interface to detect faces and record videos. It also explores the use of ``CSS`` for designing components and layouts within the project. The video is displayed in real-time, and face detection is performed using the ``Haar Cascade classifier`` from ``OpenCV``. Additionally, the application uses sessions to manage the application's state and metrics to dynamically display its status.\n\nThe documentation for this project can be found [here](src/WebCamRecordFaceDetection/explanation.md).\n\n## How to Run\n\n### Running localy\n\n1. Clone the repository:\n\n   ```bash\n   git clone https://github.com/matheusAFONSECA/streamlit-studies.git\n   cd streamlit-studies\n   ```\n\n2. Install dependencies:\n\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n3. Run the projects:\n\n    ```bash\n    streamlit run src/main.py\n    ```\n\n4. Open the link provided in the terminal (e.g., `http://localhost:8501`) to access the interface.\n\n### Running via docker\n\n1. Clone the repository:\n\n   ```bash\n   git clone https://github.com/matheusAFONSECA/streamlit-studies.git\n   cd streamlit-studies\n   ```\n\n2. run this command:\n\n    ```bash\n    docker compose --build\n    ```\n\n3. Open the link provided in the terminal (e.g., `http://localhost:8501`) to access the interface.\n\n## Authors\n\n### [Matheus Fonseca](https://github.com/matheusAFONSECA)\n\nUndergraduate student in the eighth (8th) semester of Computer Engineering at the National Institute of Telecommunications (Inatel). I participated in a Scientific Initiation at the Cybersecurity and Internet of Things Laboratory (CS\u0026ILAB), where, in the Park Here project, I developed skills in computer vision applied to parking systems, focusing on license plate recognition and vehicle identification. Additionally, I served as a teaching assistant for Physics 1, 2, and 3, helping with practical classes, report writing, and answering theoretical questions. Currently, I am an intern at the Inatel Competence Center (ICC) in the PDI SW department.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatheusafonseca%2Fstreamlit-studies","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmatheusafonseca%2Fstreamlit-studies","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatheusafonseca%2Fstreamlit-studies/lists"}