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Nailprint is a hackathon project which aims to help the visually impaired by providing easy-to-use templates where they need to apply beauty and care products. |
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Nailprint includes customizable templates for nail polishing and nail art. To inspire further projects, lipstick, and other templates can be considered too. Under this idea, the popularity of Lidar TOF scanners in smartphones can be considered. (Current Lidar resolution was not good enough to scan nail geometry.)
- 2 Templates Included.
- A content page included for tips and tricks.
- Nail polish template can be customized with a hand photo.
- Supports different skin colors. (Only contrast or lightning may be required.)
- On-demand 3D-printable (.STL) file creation
- Blazing-fast template creation/customization (tested on M-series Macs and Linux environments)
| Onboarding Screen | Templates Tab | Tips and Tricks Tab |
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| Template Detail Page | Get Template Section | Options |
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- After the client application sends the hand photo, the backend side processes the image with Mediapipe and OpenCV libraries.
- Backend draws the contours of the nail, and with the Scipy library, the best fitting curve will be generated based on a 2nd-degree polynomic approximation. (There is two possibility to define nail contours: a sinus based equation or parabola-based equation)
- According to the parabolic best-fitting curve PyMesh draws a combined STL file, and the backend sends this data to the client.
- Client provides an interface for user interaction.
| Hand Photo | Contour Detected | Equations Formed | STL Created |
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ax^2 + bx + c = 0 for each nail |
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This repo includes two submodules.
nailprint-ios module contains an iOS client application. It can be built with Xcode without any special configuration or library requirement. It doesn't require a specific Capability that requires a developer account. You can build with only your Apple ID.
nailprint-backend is a Python 3 service. You should install the requirements below;
pip3 install -r requirements.txt
Please note that mediapipe library is not supported in MAC M-series. So you should comment this library in requirements.txt file and uncomment mediapipe-silicon line.
After the installation flask app can be runned with the prompt below.
flask --app server run --host=0.0.0.0 -p 3030
Please note that iOS app directly looks at the machine's IP. So please update IP address in CustomizePage.swfit file, getCustomizedTemplate method.