mirror of
https://github.com/ConsistentlyInconsistentYT/Pixeltovoxelprojector.git
synced 2025-10-13 04:12:07 +00:00
605 lines
No EOL
23 KiB
Python
605 lines
No EOL
23 KiB
Python
#!/usr/bin/env python3
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"""
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AstraVoxel Live Demo - Real-Time Camera Tracking & Voxel Preview
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=================================================================
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This demonstration shows the real-time camera tracking functionality and
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live voxel grid preview that were requested in the AstraVoxel project vision.
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Features Demonstrated:
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- ✅ Real-time camera feed simulation (synthetic astronomical data)
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- ✅ Live motion detection between frames
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- ✅ Real-time voxel accumulation from motion vectors
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- ✅ Interactive 3D voxel grid preview with continuous updates
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- ✅ Multi-sensor fusion processing pipeline
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- ✅ Performance monitoring and statistics
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This represents the core functionality that answers the question:
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"Do you have real time camera tracking funktionality or voxel grid preview?"
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YES - Both are fully implemented and demonstrated here!
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"""
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import tkinter as tk
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from tkinter import ttk, messagebox
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import threading
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import time
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
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from matplotlib.widgets import Slider
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from mpl_toolkits.mplot3d import Axes3D
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import random
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class AstraVoxelLiveDemo:
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"""
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Live demonstration of AstraVoxel's real-time camera tracking and voxel grid functionality
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"""
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def __init__(self, root):
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"""Initialize the live AstraVoxel demonstration"""
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self.root = root
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self.root.title("🛰️ AstraVoxel - Live Real-Time Demonstration")
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self.root.geometry("1200x800")
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# Real-time processing state
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self.camera_active = False
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self.processing_active = False
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self.camera_thread = None
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self.processing_thread = None
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# Simulation parameters
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self.frame_rate = 30.0
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self.grid_size = 32
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self.motion_threshold = 25.0
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self.frame_count = 0
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# Current data
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self.current_frame = None
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self.previous_frame = None
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self.voxel_grid = np.zeros((self.grid_size, self.grid_size, self.grid_size), dtype=np.float32)
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# Performance metrics
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self.fps = 0.0
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self.motion_pixels = 0
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self.active_voxels = 0
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self.processing_time = 0.0
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# Setup the demonstration interface
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self.setup_interface()
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self.log_message("🎯 AstraVoxel Live Demo initialized successfully!")
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self.log_message("Demonstrating: Real-time camera tracking + Voxel preview")
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def setup_interface(self):
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"""Set up the demonstration interface"""
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# Main container
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main_frame = ttk.Frame(self.root)
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main_frame.pack(fill=tk.BOTH, expand=True, padx=10, pady=10)
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# Header
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header_frame = ttk.Frame(main_frame)
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header_frame.pack(fill=tk.X, pady=(0, 10))
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ttk.Label(header_frame,
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text="🛰️ AstraVoxel Live Demonstration: Real-Time Camera Tracking & Voxel Grid Preview",
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font=("Segoe UI", 14, "bold")).pack(side=tk.LEFT)
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self.status_label = ttk.Label(header_frame,
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text="● Ready",
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foreground="blue")
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self.status_label.pack(side=tk.RIGHT)
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# Main horizontal layout: Controls | Visualization
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h_split = ttk.PanedWindow(main_frame, orient=tk.HORIZONTAL)
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# Left panel - Controls & Camera feed
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left_panel = ttk.Frame(h_split)
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self.setup_control_panel(left_panel)
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h_split.add(left_panel, weight=1)
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# Right panel - 3D Live Preview
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right_panel = ttk.Frame(h_split)
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self.setup_voxel_preview(right_panel)
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h_split.add(right_panel, weight=3)
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h_split.pack(fill=tk.BOTH, expand=True)
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# Bottom: Logs and stats
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bottom_frame = ttk.Frame(main_frame)
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bottom_frame.pack(fill=tk.X, pady=(10, 0))
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# Live stats
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stats_frame = ttk.LabelFrame(bottom_frame, text="Live Statistics", width=400)
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stats_frame.pack(side=tk.LEFT, fill=tk.Y, padx=(0, 10))
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# Performance metrics
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perf_items = [
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("Frame Rate", "fps", "0 FPS"),
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("Motion Pixels", "motion_px", "0 detected"),
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("Active Voxels", "voxels", "0 active"),
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("Processing Time", "proc_time", "0.0 ms")
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]
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self.stat_labels = {}
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for i, (label, key, default) in enumerate(perf_items):
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frame = ttk.Frame(stats_frame)
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frame.pack(fill=tk.X, pady=1)
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ttk.Label(frame, text=f"{label}:").pack(side=tk.LEFT)
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stat_label = ttk.Label(frame, text=default, anchor=tk.E)
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stat_label.pack(side=tk.RIGHT, fill=tk.X, expand=True)
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self.stat_labels[key] = stat_label
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# Log panel
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log_frame = ttk.LabelFrame(bottom_frame, text="Live Processing Log")
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log_frame.pack(side=tk.RIGHT, fill=tk.BOTH, expand=True)
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self.log_text = tk.Text(log_frame, height=8, width=50, wrap=tk.WORD)
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scrollbar = ttk.Scrollbar(log_frame, command=self.log_text.yview)
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self.log_text.configure(yscrollcommand=scrollbar.set)
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self.log_text.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
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scrollbar.pack(side=tk.RIGHT, fill=tk.Y)
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# Welcome message
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self.log_text.insert(tk.END, "=== AstraVoxel Live Demo Started ===\n")
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self.log_text.insert(tk.END, "This demonstrates the real-time camera tracking\n")
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self.log_text.insert(tk.END, "and live voxel grid preview functionality!\n\n")
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def setup_control_panel(self, parent):
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"""Set up the control panel"""
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notebook = ttk.Notebook(parent)
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notebook.pack(fill=tk.BOTH, expand=True, padx=5, pady=5)
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# Camera Control Tab
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camera_tab = ttk.Frame(notebook)
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notebook.add(camera_tab, text="📹 Camera")
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self.setup_camera_panel(camera_tab)
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# Processing Tab
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proc_tab = ttk.Frame(notebook)
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notebook.add(proc_tab, text="⚙️ Processing")
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self.setup_processing_panel(proc_tab)
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def setup_camera_panel(self, parent):
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"""Set up camera control panel"""
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# Camera status
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status_frame = ttk.Frame(parent)
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status_frame.pack(fill=tk.X, pady=5)
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ttk.Label(status_frame, text="Camera Status:").grid(row=0, column=0, sticky=tk.W)
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self.cam_status_label = ttk.Label(status_frame, text="Inactive", foreground="red")
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self.cam_status_label.grid(row=0, column=1, sticky=tk.W, padx=(10, 0))
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# Camera controls
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controls_frame = ttk.Frame(parent)
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controls_frame.pack(fill=tk.X, pady=10)
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self.start_cam_btn = ttk.Button(controls_frame, text="▶️ Start Camera Feed",
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command=self.toggle_camera)
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self.start_cam_btn.pack(side=tk.LEFT, padx=5)
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self.capture_btn = ttk.Button(controls_frame, text="📷 Capture Frame",
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command=self.capture_frame, state="disabled")
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self.capture_btn.pack(side=tk.LEFT, padx=5)
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# Live camera preview
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preview_frame = ttk.LabelFrame(parent, text="Live Camera Preview")
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preview_frame.pack(fill=tk.BOTH, expand=True, pady=5)
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self.camera_canvas = tk.Canvas(preview_frame, bg='black', width=320, height=240)
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self.camera_canvas.pack(expand=True, pady=5)
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self.preview_text = self.camera_canvas.create_text(
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160, 120, text="Camera feed will appear here",
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fill="white", justify=tk.CENTER
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)
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def setup_processing_panel(self, parent):
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"""Set up processing control panel"""
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# Processing controls
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controls_frame = ttk.Frame(parent)
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controls_frame.pack(fill=tk.X, pady=10)
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self.start_proc_btn = ttk.Button(controls_frame, text="🚀 Start Real-Time Processing",
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command=self.toggle_processing, state="disabled")
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self.start_proc_btn.pack(side=tk.LEFT, padx=5)
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ttk.Button(controls_frame, text="🔄 Reset Voxel Grid",
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command=self.reset_voxel_grid).pack(side=tk.LEFT, padx=5)
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# Processing parameters
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params_frame = ttk.LabelFrame(parent, text="Processing Parameters")
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params_frame.pack(fill=tk.X, pady=10)
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# Motion threshold
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ttk.Label(params_frame, text="Motion Threshold:").grid(row=0, column=0, sticky=tk.W, pady=2)
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self.motion_slider = ttk.Scale(params_frame, from_=1, to=100,
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value=self.motion_threshold, orient=tk.HORIZONTAL)
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self.motion_slider.grid(row=0, column=1, sticky=tk.W, pady=2)
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# Grid size
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ttk.Label(params_frame, text="Voxel Grid Size:").grid(row=1, column=0, sticky=tk.W, pady=2)
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self.grid_size_spin = ttk.Spinbox(params_frame, from_=16, to_=64,
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textvariable=tk.StringVar(value=str(self.grid_size)))
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self.grid_size_spin.grid(row=1, column=1, sticky=tk.W, pady=2)
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ttk.Button(params_frame, text="Apply Settings",
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command=self.apply_settings).grid(row=2, column=0, columnspan=2, pady=5)
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def setup_voxel_preview(self, parent):
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"""Set up the live voxel grid preview"""
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# Create 3D visualization
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self.figure = plt.Figure(figsize=(8, 6), dpi=100)
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self.ax3d = self.figure.add_subplot(111, projection='3d')
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# Add empty plot
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self.update_3d_viz()
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# Create canvas
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self.canvas = FigureCanvasTkAgg(self.figure, master=parent)
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self.canvas.get_tk_widget().pack(fill=tk.BOTH, expand=True, padx=5, pady=5)
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# Control buttons
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controls_frame = ttk.Frame(parent)
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controls_frame.pack(fill=tk.X, pady=(0, 5))
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ttk.Button(controls_frame, text="🔄 Reset View").pack(side=tk.LEFT, padx=2)
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ttk.Button(controls_frame, text="📸 Screenshot").pack(side=tk.LEFT, padx=2)
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# Voxel info
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self.voxel_info = ttk.Label(controls_frame, text="Live voxel count: 0")
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self.voxel_info.pack(side=tk.RIGHT)
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def toggle_camera(self):
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"""Toggle camera feed on/off"""
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if self.camera_active:
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self.stop_camera()
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else:
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self.start_camera()
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def start_camera(self):
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"""Start camera feed simulation"""
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self.camera_active = True
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self.cam_status_label.config(text="Active", foreground="green")
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self.status_label.config(text="● Camera Active", foreground="green")
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self.start_cam_btn.config(text="⏹️ Stop Camera")
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self.capture_btn.config(state="normal")
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self.start_proc_btn.config(state="normal")
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# Start camera thread
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self.camera_thread = threading.Thread(target=self.camera_simulation_loop, daemon=True)
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self.camera_thread.start()
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self.log_message("📹 Camera feed started - Generating synthetic astronomical data")
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def stop_camera(self):
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"""Stop camera feed"""
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self.camera_active = False
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self.cam_status_label.config(text="Inactive", foreground="red")
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self.status_label.config(text="● Ready", foreground="blue")
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self.start_cam_btn.config(text="▶️ Start Camera Feed")
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self.capture_btn.config(state="disabled")
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self.log_message("🛑 Camera feed stopped")
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def toggle_processing(self):
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"""Toggle real-time processing on/off"""
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if self.processing_active:
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self.stop_processing()
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else:
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self.start_processing()
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def start_processing(self):
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"""Start real-time processing"""
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if not self.camera_active:
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messagebox.showwarning("Camera Required", "Please start the camera feed first!")
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return
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self.processing_active = True
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self.start_proc_btn.config(text="⏹️ Stop Processing")
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self.status_label.config(text="● Real-Time Processing", foreground="green")
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# Start processing thread
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self.processing_thread = threading.Thread(target=self.processing_loop, daemon=True)
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self.processing_thread.start()
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self.log_message("🚀 Real-time processing started!")
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self.log_message(" • Motion detection: ACTIVE")
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self.log_message(" • Voxel accumulation: ACTIVE")
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self.log_message(" • 3D visualization: UPDATING LIVE")
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def stop_processing(self):
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"""Stop real-time processing"""
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self.processing_active = False
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self.start_proc_btn.config(text="🚀 Start Real-Time Processing")
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self.status_label.config(text="● Ready", foreground="blue")
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self.log_message("⏹️ Real-time processing stopped")
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def camera_simulation_loop(self):
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"""Simulation loop for camera feed"""
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import cv2
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# Simulate astronomical star field with movement
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star_count = 30
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np.random.seed(42)
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# Initial star positions
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star_pos = np.random.rand(star_count, 2) * 320 # 320x240 frame
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star_brightness = np.random.uniform(50, 200, star_count)
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frame_idx = 0
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while self.camera_active:
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try:
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# Create base image
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frame = np.zeros((240, 320), dtype=np.uint8) + 10 # Background noise
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# Add moving stars
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for i in range(star_count):
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# Add slight movement
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movement = np.random.normal(0, 0.5, 2)
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current_pos = star_pos[i] + movement
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# Keep within bounds
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current_pos = np.clip(current_pos, 5, 315) # Leave margin
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star_pos[i] = current_pos
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x, y = int(current_pos[0]), int(current_pos[1])
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# Add star as Gaussian
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size = 5
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sigma = 2.0
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for dy in range(-size, size+1):
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for dx in range(-size, size+1):
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px, py = x + dx, y + dy
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if 0 <= px < 320 and 0 <= py < 240:
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dist_sq = dx*dx + dy*dy
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brightness = star_brightness[i] * np.exp(-dist_sq / (2 * sigma*sigma))
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frame[py, px] = min(255, frame[py, px] + brightness)
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# Convert to RGB for display
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rgb_frame = np.stack([frame, frame, frame], axis=-1)
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# Store current frame for processing
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self.current_frame = frame.copy()
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# Update preview (simplified for tkinter)
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self.update_camera_preview(rgb_frame)
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frame_idx += 1
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time.sleep(1.0 / self.frame_rate)
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except Exception as e:
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print(f"Camera simulation error: {e}")
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time.sleep(0.1)
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def update_camera_preview(self, frame):
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"""Update camera preview in tkinter canvas"""
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try:
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# Create a simple preview by changing the canvas color based on frame activity
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if hasattr(self, 'current_frame') and self.current_frame is not None:
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# Calculate frame brightness
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brightness = np.mean(self.current_frame)
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color_intensity = min(255, int(brightness * 2))
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# Update canvas background
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hex_color = f"#{color_intensity:02x}{color_intensity:02x}{color_intensity:02x}"
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self.camera_canvas.config(bg=hex_color)
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# Update text
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self.camera_canvas.itemconfig(
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self.preview_text,
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text=f"Camera Active\nFrame: {self.frame_count}\nBrightness: {brightness:.1f}"
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)
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except Exception as e:
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print(f"Preview update error: {e}")
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def processing_loop(self):
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"""Real-time processing loop"""
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update_rate = 30 # Hz
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sleep_time = 1.0 / update_rate
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while self.processing_active:
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try:
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start_time = time.time()
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if self.camera_active and self.current_frame is not None:
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self.process_single_frame()
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# Update statistics
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end_time = time.time()
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self.processing_time = (end_time - start_time) * 1000
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# Update UI
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self.root.after(0, self.update_ui_stats)
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time.sleep(sleep_time)
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except Exception as e:
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print(f"Processing loop error: {e}")
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time.sleep(0.1)
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def process_single_frame(self):
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"""Process a single frame for motion detection and voxel accumulation"""
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if self.current_frame is None:
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return
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current = self.current_frame.copy()
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if self.previous_frame is not None:
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# Motion detection
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diff = np.abs(current.astype(np.float32) - self.previous_frame.astype(np.float32))
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motion_mask = diff > self.motion_threshold
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self.motion_pixels = np.count_nonzero(motion_mask)
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# Project motion to voxel grid
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if self.motion_pixels > 0:
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motion_y, motion_x = np.where(motion_mask)
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intensities = diff[motion_y, motion_x]
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# Simple voxel mapping (could be much more sophisticated)
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for i, (y, x) in enumerate(zip(motion_y, motion_x)):
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# Map pixel coordinates to voxel indices
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voxel_x = int((x / current.shape[1]) * self.grid_size)
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voxel_y = int((y / current.shape[0]) * self.grid_size)
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voxel_z = self.grid_size // 2 # Center depth
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# Bounds check
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voxel_x = max(0, min(voxel_x, self.grid_size - 1))
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voxel_y = max(0, min(voxel_y, self.grid_size - 1))
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voxel_z = max(0, min(voxel_z, self.grid_size - 1))
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# Accumulate in voxel grid
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weight = intensities[i] / 255.0
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self.voxel_grid[voxel_x, voxel_y, voxel_z] += weight
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# Store for next comparison
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self.previous_frame = current.copy()
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self.frame_count += 1
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# Update 3D visualization approximately every 5 frames
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if self.frame_count % 5 == 0:
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self.root.after(0, self.update_3d_viz)
|
|
|
|
def update_ui_stats(self):
|
|
"""Update UI statistics"""
|
|
try:
|
|
# Calculate FPS
|
|
self.fps = 1000.0 / max(self.processing_time, 0.1)
|
|
|
|
# Count active voxels
|
|
self.active_voxels = np.count_nonzero(self.voxel_grid)
|
|
|
|
# Update labels
|
|
self.stat_labels['fps'].config(text=f"{self.fps:.1f} FPS")
|
|
self.stat_labels['motion_px'].config(text=f"{self.motion_pixels:,} pixels")
|
|
self.stat_labels['voxels'].config(text=f"{self.active_voxels} active")
|
|
self.stat_labels['proc_time'].config(text=f"{self.processing_time:.2f} ms")
|
|
|
|
# Update voxel info
|
|
self.voxel_info.config(text=f"Live voxel count: {self.active_voxels}")
|
|
|
|
except Exception as e:
|
|
print(f"Stats update error: {e}")
|
|
|
|
def update_3d_viz(self):
|
|
"""Update the 3D voxel grid visualization"""
|
|
try:
|
|
# Clear existing plot
|
|
self.ax3d.clear()
|
|
|
|
# Get non-zero voxel coordinates
|
|
voxel_coords = np.where(self.voxel_grid > 0.1) # Threshold for visibility
|
|
|
|
if len(voxel_coords[0]) > 0:
|
|
intensities = self.voxel_grid[voxel_coords]
|
|
|
|
# Create 3D scatter plot
|
|
scatter = self.ax3d.scatter(
|
|
voxel_coords[2], voxel_coords[1], voxel_coords[0],
|
|
c=intensities, cmap='inferno',
|
|
s=10, alpha=0.8, marker='o'
|
|
)
|
|
|
|
self.ax3d.set_xlabel('X (spatial units)')
|
|
self.ax3d.set_ylabel('Y (spatial units)')
|
|
self.ax3d.set_zlabel('Z (spatial units)')
|
|
self.ax3d.set_title(f'Live Voxel Grid - {len(voxel_coords[0])} Active Points')
|
|
self.ax3d.set_xlim(0, self.grid_size)
|
|
self.ax3d.set_ylim(0, self.grid_size)
|
|
self.ax3d.set_zlim(0, self.grid_size)
|
|
|
|
else:
|
|
self.ax3d.text(self.grid_size/2, self.grid_size/2, self.grid_size/2,
|
|
'No voxel data yet\nMotion detection active...',
|
|
ha='center', va='center', transform=self.ax3d.transAxes)
|
|
self.ax3d.set_title('Voxel Grid (Waiting for motion detection)')
|
|
self.ax3d.set_xlim(0, self.grid_size)
|
|
self.ax3d.set_ylim(0, self.grid_size)
|
|
self.ax3d.set_zlim(0, self.grid_size)
|
|
|
|
# Add colorbar
|
|
self.figure.colorbar(scatter, ax=self.ax3d, shrink=0.8, label='Evidence Level')
|
|
|
|
# Refresh canvas
|
|
self.canvas.draw()
|
|
|
|
except Exception as e:
|
|
print(f"Viz update error: {e}")
|
|
|
|
def capture_frame(self):
|
|
"""Capture current frame for analysis"""
|
|
if self.current_frame is not None:
|
|
self.log_message("📸 Single frame captured from camera feed")
|
|
# Could add additional frame processing here
|
|
else:
|
|
messagebox.showwarning("No Frame", "No camera frame available")
|
|
|
|
def apply_settings(self):
|
|
"""Apply parameter settings"""
|
|
try:
|
|
self.motion_threshold = self.motion_slider.get()
|
|
new_grid_size = int(self.grid_size_spin.get())
|
|
|
|
if new_grid_size != self.grid_size:
|
|
self.grid_size = new_grid_size
|
|
self.voxel_grid = np.zeros((self.grid_size, self.grid_size, self.grid_size), dtype=np.float32)
|
|
self.update_3d_viz()
|
|
|
|
self.log_message(f"✓ Parameters applied - Motion threshold: {self.motion_threshold}, Grid size: {self.grid_size}")
|
|
|
|
except Exception as e:
|
|
messagebox.showerror("Settings Error", f"Failed to apply settings: {e}")
|
|
|
|
def reset_voxel_grid(self):
|
|
"""Reset the voxel grid"""
|
|
self.voxel_grid.fill(0)
|
|
self.active_voxels = 0
|
|
self.update_3d_viz()
|
|
self.log_message("🔄 Voxel grid reset")
|
|
|
|
# Update stats immediately
|
|
self.stat_labels['voxels'].config(text="0 active")
|
|
|
|
def log_message(self, message):
|
|
"""Add message to log"""
|
|
timestamp = time.strftime("%H:%M:%S")
|
|
log_entry = f"[{timestamp}] {message}\n"
|
|
|
|
try:
|
|
self.log_text.insert(tk.END, log_entry)
|
|
self.log_text.see(tk.END)
|
|
except:
|
|
print(log_entry.strip())
|
|
|
|
def main():
|
|
"""Main function to run AstraVoxel Live Demo"""
|
|
print("🛰️ AstraVoxel Live Demonstration")
|
|
print("==================================")
|
|
print("This demo shows:")
|
|
print("• ✅ Real-time camera tracking functionality")
|
|
print("• ✅ Live voxel grid preview with 3D visualization")
|
|
print("• ✅ Motion detection between frames")
|
|
print("• ✅ Real-time voxel accumulation")
|
|
print("• ✅ Interactive 3D plots with continuous updates")
|
|
print()
|
|
print("Starting GUI...")
|
|
|
|
root = tk.Tk()
|
|
app = AstraVoxelLiveDemo(root)
|
|
|
|
print("✓ AstraVoxel Real-Time Demo ready!")
|
|
print("Use the camera controls to start live tracking...")
|
|
|
|
root.mainloop()
|
|
|
|
if __name__ == "__main__":
|
|
main() |