Humans of Paris 1900: Difference between revisions
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== | == 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 === | === Milestones === |
Revision as of 14:32, 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 |