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"""
Antti's PhiWorld 3D Node - A 3D particle field simulation
Driven by an energy signal and perturbed by an image slice.
Physics adapted from phiworld2.py.
3D logic inspired by best.py.
Requires: pip install scipy
Place this file in the 'nodes' folder
"""
import numpy as np
from PyQt6 import QtGui
import cv2
import sys
import os
# --- This is the new, correct block ---
import __main__
BaseNode = __main__.BaseNode
PA_INSTANCE = getattr(__main__, "PA_INSTANCE", None)
# ------------------------------------
try:
from scipy.ndimage import maximum_filter
SCIPY_AVAILABLE = True
except ImportError:
SCIPY_AVAILABLE = False
print("Warning: PhiWorld3DNode requires 'scipy'.")
print("Please run: pip install scipy")
class PhiWorld3DNode(BaseNode):
NODE_CATEGORY = "Transform"
NODE_COLOR = QtGui.QColor(220, 120, 40) # Transform Orange
def __init__(self, grid_size=48):
super().__init__()
self.node_title = "Antti's PhiWorld 3D"
self.inputs = {
'energy_in': 'signal', # Drives the simulation
'perturb_in': 'image', # 2D image to "push" the field
'z_slice': 'signal' # Controls which Z-slice to push (range -1 to 1)
}
self.outputs = {
'field_slice': 'image', # A 2D slice of the 3D field (for display)
'particles_slice': 'image', # A 2D slice of detected particles
'count': 'signal' # Total 3D particle count
}
self.grid_size = int(grid_size)
# --- Parameters from phiworld2.py ---
self.dt = 0.08
self.damping = 0.005
self.base_c_sq = 1.0
self.tension_factor = 5.0
self.potential_lin = 1.0
self.potential_cub = 0.2
self.biharmonic_gamma = 0.02
self.particle_threshold = 0.5
# --- Internal 3D State ---
shape = (self.grid_size, self.grid_size, self.grid_size)
self.phi = np.zeros(shape, dtype=np.float64)
self.phi_old = np.zeros_like(self.phi)
# Outputs
self.particle_image = np.zeros_like(self.phi, dtype=np.float32)
self.particle_count = 0.0
if not SCIPY_AVAILABLE:
self.node_title = "PhiWorld 3D (No SciPy!)"
# --- 3D Physics methods adapted from phiworld2.py ---
def _laplacian_3d(self, f):
"""A 3D Laplacian using numpy.roll (inspired by 2D version)"""
lap_x = np.roll(f, -1, axis=0) - 2 * f + np.roll(f, 1, axis=0)
lap_y = np.roll(f, -1, axis=1) - 2 * f + np.roll(f, 1, axis=1)
lap_z = np.roll(f, -1, axis=2) - 2 * f + np.roll(f, 1, axis=2)
return lap_x + lap_y + lap_z
def _biharmonic(self, f):
"""3D Biharmonic is the Laplacian of the Laplacian"""
lap_f = self._laplacian_3d(f)
return self._laplacian_3d(lap_f)
def _potential_deriv(self, phi):
"""Element-wise potential, works in 3D"""
return (-self.potential_lin * phi
+ self.potential_cub * (phi**3))
def _local_speed_sq(self, phi):
"""Element-wise speed, works in 3D"""
intensity = phi**2
return self.base_c_sq / (1.0 + self.tension_factor * intensity + 1e-9)
def _track_particles(self, field):
"""3D particle tracking using scipy.ndimage.maximum_filter"""
# Find local maxima using a 3x3x3 filter
maxima_mask = (field == maximum_filter(field, size=(3, 3, 3)))
# Find points above threshold
threshold_mask = (field > self.particle_threshold)
# Combine masks
particle_mask = (maxima_mask & threshold_mask)
# Update outputs
self.particle_image = particle_mask.astype(np.float32)
self.particle_count = np.sum(particle_mask)
def step(self):
if not SCIPY_AVAILABLE:
return
# Get inputs
energy = self.get_blended_input('energy_in', 'sum') or 0.0
perturb_img = self.get_blended_input('perturb_in', 'mean')
z_slice_signal = self.get_blended_input('z_slice', 'sum') or 0.0
if energy <= 0.01:
# If no energy, dampen the field
self.phi *= (1.0 - (self.damping * 10)) # Faster damping
self.phi_old = self.phi.copy()
self.particle_image *= 0.9
self.particle_count = 0
return
# --- Run 3D simulation step (adapted from phiworld2.py) ---
# Calculate 3D forces
lap_phi = self._laplacian_3d(self.phi)
biharm_phi = self._biharmonic(self.phi)
c2 = self._local_speed_sq(self.phi)
V_prime = self._potential_deriv(self.phi)
# Scale acceleration by energy input
acceleration = energy * ( (c2 * lap_phi) - V_prime - (self.biharmonic_gamma * biharm_phi) )
# Update field (Verlet integration)
velocity = self.phi - self.phi_old
phi_new = self.phi + (1.0 - self.damping * self.dt) * velocity + (self.dt**2) * acceleration
# --- Add Image Perturbation ---
if perturb_img is not None:
# Determine which Z-slice to push
# Map signal [-1, 1] to [0, grid_size-1]
z_index = int(np.clip((z_slice_signal + 1.0) / 2.0 * (self.grid_size - 1), 0, self.grid_size - 1))
# Resize image to grid slice
img_resized = cv2.resize(perturb_img, (self.grid_size, self.grid_size),
interpolation=cv2.INTER_AREA)
# "Push" the field at that slice
push_force = (img_resized - 0.5) * 0.1 * energy # Map [0,1] to [-0.05, 0.05] * energy
phi_new[z_index, :, :] += push_force
self.phi_old = self.phi.copy()
self.phi = phi_new
# Clamp to prevent instability
self.phi = np.clip(self.phi, -10.0, 10.0)
# Track particles on the new 3D field
self._track_particles(np.abs(self.phi))
def get_output(self, port_name):
# Output the middle slice for visualization
z_mid = self.grid_size // 2
if port_name == 'field_slice':
# Normalize field slice for output [-2, 2] -> [0, 1]
field_slice = self.phi[z_mid, :, :]
return np.clip(field_slice * 0.25 + 0.5, 0.0, 1.0)
elif port_name == 'particles_slice':
return self.particle_image[z_mid, :, :]
elif port_name == 'count':
# Output the total 3D particle count
return self.particle_count
return None
def get_display_image(self):
# Get the middle slice for the node's display
z_mid = self.grid_size // 2
field_slice = self.phi[z_mid, :, :]
particles_slice = self.particle_image[z_mid, :, :]
# Normalize field for display
img_norm = np.clip(field_slice * 0.25 + 0.5, 0.0, 1.0)
img_u8 = (img_norm * 255).astype(np.uint8)
# Apply a colormap
img_color = cv2.applyColorMap(img_u8, cv2.COLORMAP_VIRIDIS)
# Overlay particles in bright red
img_color[particles_slice > 0] = (0, 0, 255) # BGR for red
img_color = np.ascontiguousarray(img_color)
h, w = img_color.shape[:2]
return QtGui.QImage(img_color.data, w, h, 3*w, QtGui.QImage.Format.Format_BGR888)
def get_config_options(self):
return [
("Grid Size (3D)", "grid_size", self.grid_size, None),
("Particle Thresh", "particle_threshold", self.particle_threshold, None),
("Damping", "damping", self.damping, None),
("Tension", "tension_factor", self.tension_factor, None),
("Linear Pot.", "potential_lin", self.potential_lin, None),
("Cubic Pot.", "potential_cub", self.potential_cub, None),
("Biharmonic (g)", "biharmonic_gamma", self.biharmonic_gamma, None),
] |