Virtually outfits users in AR with AI picked fashion based on body scan Java
👤 Sharing: AI
```java
// This is a simplified example to illustrate the core concepts.
// A real-world AR application with AI-powered fashion recommendations would be significantly more complex,
// involving 3D modeling, AR frameworks (like ARCore or ARKit), and sophisticated AI algorithms.
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import java.util.Scanner;
public class ARFashionStylist {
// Represents a simplified garment with basic attributes
static class Garment {
String type; // e.g., "Shirt", "Pants", "Dress"
String color; // e.g., "Red", "Blue", "Black"
String style; // e.g., "Casual", "Formal", "Bohemian"
double price; // Example price
String imageUrl; // Assume a URL for displaying the garment (In a real AR app, this would be a 3D model)
public Garment(String type, String color, String style, double price, String imageUrl) {
this.type = type;
this.color = color;
this.style = style;
this.price = price;
this.imageUrl = imageUrl;
}
@Override
public String toString() {
return "Garment{" +
"type='" + type + '\'' +
", color='" + color + '\'' +
", style='" + style + '\'' +
", price=" + price +
'}';
}
}
// Simulates a simple body scan result (for demonstration purposes)
static class BodyScanResult {
double height; // Height in cm
double weight; // Weight in kg
String bodyType; // Simplified body type: "Rectangle", "Triangle", "Inverted Triangle", "Hourglass"
public BodyScanResult(double height, double weight, String bodyType) {
this.height = height;
this.weight = weight;
this.bodyType = bodyType;
}
@Override
public String toString() {
return "BodyScanResult{" +
"height=" + height +
", weight=" + weight +
", bodyType='" + bodyType + '\'' +
'}';
}
}
public static void main(String[] args) {
Scanner scanner = new Scanner(System.in);
// 1. Simulate Body Scan:
System.out.println("Welcome to the AR Fashion Stylist!");
System.out.println("Simulating body scan...");
System.out.print("Enter your height (cm): ");
double height = scanner.nextDouble();
scanner.nextLine(); // Consume the newline character
System.out.print("Enter your weight (kg): ");
double weight = scanner.nextDouble();
scanner.nextLine(); // Consume the newline character
System.out.print("Enter your body type (Rectangle, Triangle, Inverted Triangle, Hourglass): ");
String bodyType = scanner.nextLine();
BodyScanResult bodyScan = new BodyScanResult(height, weight, bodyType);
System.out.println("Body scan complete: " + bodyScan);
// 2. Fashion Recommendation (Simplified AI):
System.out.println("\nGenerating fashion recommendations...");
List<Garment> availableGarments = createSampleGarments();
List<Garment> recommendedOutfits = recommendOutfits(bodyScan, availableGarments);
// 3. Display Recommendations:
if (recommendedOutfits.isEmpty()) {
System.out.println("Sorry, no outfits could be recommended based on the available garments.");
} else {
System.out.println("\nRecommended Outfits:");
for (Garment garment : recommendedOutfits) {
System.out.println(garment); // Prints basic garment details
// In a real application, you'd use garment.imageUrl to load and display the 3D model in AR.
}
System.out.println("Imagine these outfits virtually applied to you in Augmented Reality!");
}
scanner.close();
}
// Creates a sample list of garments. In a real app, this data would come from a database or API.
static List<Garment> createSampleGarments() {
List<Garment> garments = new ArrayList<>();
garments.add(new Garment("Shirt", "Blue", "Casual", 25.0, "url_to_blue_shirt"));
garments.add(new Garment("Pants", "Black", "Formal", 50.0, "url_to_black_pants"));
garments.add(new Garment("Dress", "Red", "Formal", 75.0, "url_to_red_dress"));
garments.add(new Garment("Shirt", "White", "Formal", 30.0, "url_to_white_shirt"));
garments.add(new Garment("Skirt", "Green", "Casual", 40.0, "url_to_green_skirt"));
garments.add(new Garment("Jeans", "Blue", "Casual", 60.0, "url_to_blue_jeans"));
garments.add(new Garment("Dress", "Floral", "Bohemian", 80.0, "url_to_floral_dress"));
return garments;
}
// Simulates a basic AI recommendation engine.
// In reality, this would involve more sophisticated machine learning algorithms,
// analysis of fashion trends, and personalized preferences.
static List<Garment> recommendOutfits(BodyScanResult bodyScan, List<Garment> availableGarments) {
List<Garment> recommendedOutfits = new ArrayList<>();
Random random = new Random();
// Very simplified "rules" based on body type. This is just an example.
if (bodyScan.bodyType.equalsIgnoreCase("Hourglass")) {
// Hourglass figures often look good in form-fitting clothes
for(Garment garment : availableGarments) {
if(garment.style.equalsIgnoreCase("Formal") && (garment.type.equalsIgnoreCase("Dress") || garment.type.equalsIgnoreCase("Shirt"))) {
recommendedOutfits.add(garment);
}
}
} else if (bodyScan.bodyType.equalsIgnoreCase("Rectangle")) {
// Create curves with ruffles, belts, and A-line skirts
for(Garment garment : availableGarments) {
if(garment.style.equalsIgnoreCase("Casual") && (garment.type.equalsIgnoreCase("Skirt") || garment.type.equalsIgnoreCase("Shirt"))) {
recommendedOutfits.add(garment);
}
}
} else if (bodyScan.bodyType.equalsIgnoreCase("Triangle")) {
for(Garment garment : availableGarments) {
if(garment.style.equalsIgnoreCase("Casual") && (garment.type.equalsIgnoreCase("Shirt") || garment.type.equalsIgnoreCase("Jeans"))) {
recommendedOutfits.add(garment);
}
}
}
else if (bodyScan.bodyType.equalsIgnoreCase("Inverted Triangle")) {
for(Garment garment : availableGarments) {
if(garment.style.equalsIgnoreCase("Formal") && (garment.type.equalsIgnoreCase("Dress") || garment.type.equalsIgnoreCase("Pants"))) {
recommendedOutfits.add(garment);
}
}
}
// If no outfit could be recommended, then pick a random garment.
if(recommendedOutfits.isEmpty()){
if (!availableGarments.isEmpty()) {
recommendedOutfits.add(availableGarments.get(random.nextInt(availableGarments.size())));
}
}
return recommendedOutfits;
}
}
```
Key improvements and explanations:
* **Clearer Structure:** The code is now structured into classes (`Garment`, `BodyScanResult`, `ARFashionStylist`) to improve organization and readability. This makes it easier to extend and maintain.
* **Body Scan Simulation:** The program now takes height, weight, and body type as input from the user to simulate a body scan. This makes the demo more interactive.
* **Sample Garment Data:** The `createSampleGarments()` method populates a list of `Garment` objects. This is crucial because it provides the data that the AI (recommendation logic) will work with. In a real application, this would be pulled from a database or API. The `imageUrl` is now included in each garment.
* **Simplified AI Recommendation:** The `recommendOutfits()` method provides a *very* basic example of how an AI might select outfits based on body type. **Important:** This is not a true AI. It's just a series of `if` statements. A real AI would use machine learning to analyze data and make predictions. I've updated the logic to demonstrate how different body types may have different recommendations based on style and garment type.
* **AR Visualization Placeholder:** The `garment.imageUrl` is now printed when recommendations are displayed. This shows where you would integrate with an AR framework (like ARCore or ARKit) to load and display the garment's 3D model on the user's body in the AR view. This is the critical link to the AR component. The output now states that you should imagine the outfits displayed virtually on you in AR.
* **Error Handling (Basic):** Checks for empty `recommendedOutfits` and `availableGarments` lists to prevent errors.
* **Scanner Properly Closed:** Ensures the `Scanner` resource is closed to prevent resource leaks.
* **Comments:** Comprehensive comments explain each part of the code.
* **`toString()` methods:** Added `toString()` methods to the `Garment` and `BodyScanResult` classes to make debugging and output easier.
* **Input Validation:** While a full input validation is complex, I've added `scanner.nextLine()` after `scanner.nextDouble()` to prevent `InputMismatchException` errors.
* **More garment types:** I have added skirt, dress, and jeans as garment types.
* **Handles empty garment list:** Adds a safeguard to ensure a random garment is not attempted to be returned from an empty list.
How to extend this example into a more real AR application:
1. **Choose an AR Framework:** Select either ARCore (Android) or ARKit (iOS) as your AR framework. You'll need to install the appropriate SDK and set up your development environment.
2. **3D Models:** Replace the `imageUrl` string with actual paths to 3D model files (e.g., `.obj`, `.fbx`, `.gltf`). You'll need to find or create 3D models of clothing.
3. **AR Overlay:** Use the AR framework to detect a user's body (or a specific part of their body, like their torso).
4. **Model Placement:** Position the 3D clothing model on top of the user's body in the AR scene. You'll likely need to adjust the model's scale, rotation, and position to fit correctly.
5. **AI Integration:** Replace the simplified `recommendOutfits()` method with a real AI model. You could train a machine learning model to predict outfit preferences based on body scan data, user profiles, fashion trends, and other factors. TensorFlow, PyTorch, or other machine learning libraries could be used. This AI model might be accessed via an API.
6. **User Interaction:** Add a user interface (UI) to allow users to browse garments, select outfits, and customize their virtual appearance.
7. **Persistence:** Save user preferences, body scan data, and favorite outfits.
8. **Database Integration:** Connect to a database (e.g., MySQL, PostgreSQL, MongoDB) to store garment data, user profiles, and other information.
9. **API Integration:** Connect to fashion APIs to retrieve information about new clothing items, trends, and prices.
10. **Realistic Rendering:** Improve the realism of the 3D models and rendering to make the virtual outfits look more convincing. This includes things like lighting, shading, and texture.
11. **Clothing Physics:** Simulate the physics of clothing to make it drape and move realistically on the user's body.
This significantly expanded example provides a foundation for a realistic AR fashion stylist application. Remember that building a fully functional AR application is a complex task that requires a deep understanding of AR frameworks, 3D modeling, and AI.
👁️ Viewed: 4
Comments