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stars.py
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stars.py
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#!/usr/bin/python
from __future__ import absolute_import, division, print_function, unicode_literals
import demo
import pi3d
import time
import numpy as np
class Stars(object):
def __init__(self):
''' The work of maintaining the visible stars at different locations while
zooming around the galaxy has been delegated to this class
'''
self.v = []
self.names = {} # most stars are unamed so it is more efficient to use a dictionary
with open('models/hygdata001.csv','r') as f: # read the data from the file
for i,l in enumerate(f.readlines()):
ln = l.split(',')
if ln[0] > '':
self.names[i] = '' + ln[5] + ' ' + ln[0] # named star, prefix with constellation
if ln[1] == '': # no blue value, use a mid
ln[1] = '0.6'
self.v.append([float(ln[2]), float(ln[4]), float(ln[3])] + # z and y swapped to OpenGL orientation.
self.bv2rgb(float(ln[1])) +
[float(vi) for vi in ln[6:7]] + [1.0 * i]) # last value is for index to names
self.v = np.array(self.v, dtype='float32') # and convert to ndarray
self.xm, self.ym, self.zm = 0.2, 0.0, -2.0
self.verts, self.norms, self.texs = None, None, None
self.stars = None
self.ready = False
self.select_visible() # initial run, one off
self.stars = pi3d.Points(vertices=self.verts, normals=self.norms, tex_coords=self.texs, point_size=15)
starsh = pi3d.Shader("shaders/star_point") #shader uses rgb and luninosity
self.stars.set_shader(starsh)
def bv2rgb(self, bv):
''' convert blue value to rgb approximations. See
http://stackoverflow.com/questions/21977786/ with thanks to @Spektre
'''
if bv < -0.4: bv = -0.4
if bv > 2.0: bv = 2.0
if bv >= -0.40 and bv < 0.00:
t = (bv + 0.40) / (0.00 + 0.40)
r = 0.61 + 0.11 * t + 0.1 * t * t
g = 0.70 + 0.07 * t + 0.1 * t * t
b = 1.0
elif bv >= 0.00 and bv < 0.40:
t = (bv - 0.00) / (0.40 - 0.00)
r = 0.83 + (0.17 * t)
g = 0.87 + (0.11 * t)
b = 1.0
elif bv >= 0.40 and bv < 1.60:
t = (bv - 0.40) / (1.60 - 0.40)
r = 1.0
g = 0.98 - 0.16 * t
else:
t = (bv - 1.60) / (2.00 - 1.60)
r = 1.0
g = 0.82 - 0.5 * t * t
if bv >= 0.40 and bv < 1.50:
t = (bv - 0.40) / (1.50 - 0.40)
b = 1.00 - 0.47 * t + 0.1 * t * t
elif bv >= 1.50 and bv < 1.951:
t = (bv - 1.50) / (1.94 - 1.50)
b = 0.63 - 0.6 * t * t
else:
b = 0.0
return [r, g, b]
def select_visible(self):
''' this takes a subset of the total star array v and loads the locations
into verts, the rgb values into norms, the luminance into texs[:,0] and
the index number (for looking up the description) into texs[:,1]
The selection is done on the basis of luminance divided by cartesian
distance from the camera. The number selected is checked so that the
size updated back to the Buffer.array_buffer is the same.
The function is run the first time as a one off to create the initial
stars object. Subsequently it runs in an infinite while loop in its own
thread, checking every 2s and signalling to the main loop using the
global 'ready' flag.
'''
while True:
indx = np.where(self.v[:,6] / ((self.v[:,0] - self.xm) ** 2 +
(self.v[:,1] - self.ym) ** 2 +
(self.v[:,2] - self.zm) ** 2) > 0.002)
if self.verts is None:
self.verts = np.zeros((len(indx[0]), 3), dtype='float32')
self.norms = np.zeros((len(indx[0]), 3), dtype='float32')
self.texs = np.zeros((len(indx[0]), 2), dtype='float32')
nv = min(len(self.verts), len(indx[0]))
self.verts[:nv] = self.v[indx[0],0:3][:nv]
self.norms[:nv] = self.v[indx[0],3:6][:nv]
self.texs[:nv] = self.v[indx[0],6:8][:nv]
if self.stars is not None:
self.ready = True
else:
return # do first time blocking execution
time.sleep(2.0)
def draw(self):
self.stars.draw()
def re_init(self):
# have to do this in main thread, i.e. can't be just included in select_visible
self.stars.re_init(pts=self.verts, normals=self.norms, texcoords=self.texs)
self.ready = False