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visualize_attr.py
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visualize_attr.py
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# -*- coding: utf-8 -*-
"""
Documentation:
"""
from pxr import Usd, UsdGeom, Vt
import numpy as np
def normalize_2d_array(arr: np.array):
col_ranges = np.max(arr, axis=0) - np.min(arr, axis=0)
normalized_arr = (arr - np.min(arr, axis=0)) / col_ranges
return normalized_arr
def interpolate_colors(normalized_data, color_positions, colors):
colored_data = np.zeros_like(normalized_data)
for i in range(3): # Iterate over RGB channels
colored_data[:, i] = np.interp(normalized_data[:, i], color_positions, colors[:, i])
return colored_data
def visualize_attr(prim: Usd.Prim, attr_name: str, time=0, channel=None, normalize=False,
multiplier=1.0, ramp_colors=[[(0, 0, 0), (1, 1, 1)], [0, 1]]):
attr = prim.GetAttribute(attr_name)
if not attr.HasValue():
return
attr_values = np.array(attr.Get(time))
if normalize:
attr_values = normalize_2d_array(attr_values)
attr_values = attr_values * multiplier
attr_shape = attr_values.shape
if channel is not None and len(attr_shape) not in [0, 1]:
if channel < attr_shape[1]:
attr_values = attr_values[:, channel]
attr_shape = attr_values.shape
if len(attr_shape) in [0, 1]:
attr_values = np.repeat(attr_values.reshape(-1, 1), 3, axis=1)
elif len(attr_shape) > 1 and attr_shape[1] == 2:
attr_values = np.hstack((attr_values, np.zeros((attr_shape[0], 1))))
displayColor_attr = UsdGeom.Mesh(prim).GetDisplayColorAttr()
interpolation = attr.GetMetadata("interpolation")
if not interpolation:
interpolation = 'vertex'
displayColor_attr.SetMetadata('interpolation', interpolation)
if normalize:
colors, color_points = ramp_colors
color_points = np.array(color_points)
colors = np.array(colors)
attr_values = interpolate_colors(attr_values, color_points, colors)
displayColor_attr.Set(Vt.Vec3fArray.FromNumpy(attr_values), time)
if __name__ == '__main__':
print(__name__)