Create holographic_user_interface.py

advanced_feature/holographic_user_interface/holographic_user_interface.py

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+import os
+import sys
+import numpy as np
+from PIL import Image
+from arcore-python-sdk import ARCore, Camera, Frame, PointCloud
+from three import Scene, Mesh, MeshBasicMaterial, Vector3, Quaternion, Matrix4
+
+class HolographicUserInterface:
+    def __init__(self):
+        self.arcore = ARCore()
+        self.scene = Scene()
+        self.camera = Camera()
+        self.frame = Frame()
+
+    def initialize_arcore(self):
+        # Initialize ARCore and set up the camera
+        self.arcore.initialize()
+        self.camera.initialize(self.arcore)
+
+    def create_holographic_scene(self):
+        # Create a holographic scene with a 3D model of the user's financial data
+        mesh = Mesh(geometry=Mesh.sphereGeometry(1, 32, 32), material=MeshBasicMaterial(color=0xffffff))
+        self.scene.add(mesh)
+
+    def render_holographic_scene(self):
+        # Render the holographic scene using ARCore and Three.js
+        self.frame = self.arcore.update()
+        self.camera.update(self.frame)
+        self.scene.update_matrix_world(True)
+        self.scene.traverse(lambda obj: obj.update_matrix_world(True))
+        image = self.arcore.get_image()
+        return image
+
+    def visualize_financial_data(self, financial_data):
+        # Visualize the user's financial data in a holographic format
+        mesh = self.scene.children[0]
+        mesh.geometry.vertices = self._convert_financial_data_to_vertices(financial_data)
+        mesh.geometry.verticesNeedUpdate = True
+
+    def _convert_financial_data_to_vertices(self, financial_data):
+        # Convert the financial data into 3D vertices for visualization
+        vertices = []
+        for data_point in financial_data:
+            x, y, z = self._map_data_point_to_3d_coordinates(data_point)
+            vertices.append(Vector3(x, y, z))
+        return vertices
+
+    def _map_data_point_to_3d_coordinates(self, data_point):
+        # Map a financial data point to 3D coordinates for visualization
+        x = data_point['value'] * np.cos(data_point['timestamp'])
+        y = data_point['value'] * np.sin(data_point['timestamp'])
+        z = data_point['category']
+        return x, y, z
+
+def main():
+    # Initialize Holographic User Interface system
+    hui = HolographicUserInterface()
+    hui.initialize_arcore()
+    hui.create_holographic_scene()
+
+    # Visualize financial data in a holographic format
+    financial_data = [...]
+    hui.visualize_financial_data(financial_data)
+
+    # Render the holographic scene
+    image = hui.render_holographic_scene()
+    Image.fromarray(image).show()
+
+if __name__ == '__main__':
+    main()