Humans of Paris 1900: Difference between revisions
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== Project plan == | == Project plan == | ||
The final goal is to present the user with a way to navigate the collection and understand who the people is the photos are and what life they lived. We develop a website that provides the user with 4 core functionalities. | The final goal is to present the user with a way to navigate the collection and understand who the people is the photos are and what life they lived. We develop a website that provides the user with 4 core functionalities. | ||
<ol> | |||
<li> | |||
An overview of the most famous individuals in the collection | |||
</li> | |||
<li> | |||
A search page to explore individuals based on tag matching | |||
</li> | |||
<li> | |||
A cluster view of individuals in the database, based on their looks | |||
</li> | |||
<li> | |||
A way to upload ones image and find ones’ doppelgänger in the collection | |||
</li> | |||
</ol> | |||
To make this vision reality, we went through 4 stages in the processing, namely fetching the data, processing it, storing and serving data and front end development. | To make this vision reality, we went through 4 stages in the processing, namely fetching the data, processing it, storing and serving data and front end development. | ||
Revision as of 14:34, 20 November 2019
Project plan
The final goal is to present the user with a way to navigate the collection and understand who the people is the photos are and what life they lived. We develop a website that provides the user with 4 core functionalities.
- An overview of the most famous individuals in the collection
- A search page to explore individuals based on tag matching
- A cluster view of individuals in the database, based on their looks
- A way to upload ones image and find ones’ doppelgänger in the collection
To make this vision reality, we went through 4 stages in the processing, namely fetching the data, processing it, storing and serving data and front end development.
Milestones
| Timeframe | Task | Completion |
|---|---|---|
| Week 4 | ||
| 07.11 | Understanding Gallica Query Gallica API | ✓ |
| Query Gallica API | ||
| Week 5 | ||
| 14.10 | Start preprocessing images | ✓ |
| Choose suitable Wikipedia API | ||
| Week 6 | ||
| 21.10 | Choose face recognition library | ✓ |
| Get facial vectors | ||
| Try database design with Docker & Flask | ||
| Week 7 | ||
| 28.10 | Remove irrelevant backgrounds of images | ✓ |
| Extract age and gender from images | ||
| Design data model | ||
| Extract tags, names, birth and death years out of metadata | ||
| Week 8 | ||
| 04.11 | Set up database environment | ✓ |
| Set up mockup user-interface | ||
| Prepare midterm presentation | ||
| Week 9 | ||
| 11.11 | Get tags, names, birth and death years in ready-to-use format | ✓ |
| Handle Wikipedia false positives | ||
| Integrate face recognition functionalities into database | ||
| Week 10 | ||
| 18.11 | Create draft of the website (frontend) | |
| Create FaceMap using D3 | ||
| Week 11 | ||
| 25.11 | Integrate all functionalities | |
| Finalize project website | ||
| Week 12 | ||
| 02.12 | Write Project report | |