forked from protonphoton/LJ
[feat] drawing_optimisation: in progess
the feature implement a paper: https://art-science.org/journal/v7n4/v7n4pp155/artsci-v7n4pp155.pdf there is some generator to test the optimisation in: ./clitools/generators/drawingTests/ Now, all the optimisation will be in ./libs3/plotOptimizer.py in ./libs3/tracer3.py the adding of point is avoid an will be replace by the optimisation from the paper
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98
clitools/generators/drawingTests/angleOptimization.py
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98
clitools/generators/drawingTests/angleOptimization.py
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#!/usr/bin/python3
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# -*- coding: utf-8 -*-
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# -*- mode: Python -*-
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'''
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This generator print different angle form 0 to 180 degres
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v0.1.0
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LICENCE : CC
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by lapin (aka nipal)
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'''
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from __future__ import print_function
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import time
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import argparse
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import sys
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import math
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name="generator::endingPoint"
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def debug(*args, **kwargs):
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if( verbose == False ):
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return
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print(*args, file=sys.stderr, **kwargs)
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argsparser = argparse.ArgumentParser(description="dummy generator")
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argsparser.add_argument("-f","--fps",help="Frame Per Second",default=30,type=int)
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argsparser.add_argument("-s","--speed",help="point per frame progress",default=3,type=int)
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argsparser.add_argument("-v","--verbose",action="store_true",help="Verbose output")
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args = argsparser.parse_args()
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fps=args.fps
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verbose=args.verbose
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optimal_looptime = 1 / fps
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debug(name+" optimal looptime "+str(optimal_looptime))
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width = 800
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height = 800
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white = 0xFFFFFF
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blank = 0
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radius = 100
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offset_circles = 10
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beg_angle = 0
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end_angle = 90
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offset_angle = 10
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angles_lines = []
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shape = []
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def set_angles_lines():
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margin = radius + offset_circles
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spacing_betwen = 2 * radius + offset_circles
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circles_per_line = math.floor((width - margin) / spacing_betwen)
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for ang in range(beg_angle, end_angle + offset_angle, offset_angle):
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nb = int(ang / offset_angle)
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cx = margin + (nb % circles_per_line) * spacing_betwen
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cy = margin + int(nb / circles_per_line) * spacing_betwen
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px = radius * math.cos(math.radians(ang))
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py = radius * math.sin(math.radians(ang))
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# line up
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angles_lines.append([-px + cx, py + cy, blank])
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angles_lines.append([-px + cx, py + cy, white])
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angles_lines.append([ cx, 2 + cy, white])
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angles_lines.append([ px + cx, py + cy, white])
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#angles_lines.append([ px + cx, py + cy, blank])
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# line down
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angles_lines.append([-px + cx, -py + cy, blank])
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angles_lines.append([-px + cx, -py + cy, white])
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angles_lines.append([ cx, -2 + cy, white])
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angles_lines.append([ px + cx, -py + cy, white])
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#angles_lines.append([ px + cx, -py + cy, blank])
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set_angles_lines()
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shape = angles_lines
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# print(angles_lines)
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while True:
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start = time.time()
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print(shape, flush=True);
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looptime = time.time() - start
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if( looptime < optimal_looptime ):
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time.sleep( optimal_looptime - looptime)
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debug(name+" micro sleep:"+str( optimal_looptime - looptime))
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117
clitools/generators/drawingTests/conected_component.py
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117
clitools/generators/drawingTests/conected_component.py
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#!/usr/bin/python3
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# -*- coding: utf-8 -*-
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# -*- mode: Python -*-
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'''
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This generator print a shape with 3 discinected component, 2 non eulerian and one eulerian.
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v0.1.0
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LICENCE : CC
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by lapin (aka nipal)
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'''
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from __future__ import print_function
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import time
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import argparse
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import sys
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import math
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name="generator::endingPoint"
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def debug(*args, **kwargs):
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if( verbose == False ):
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return
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print(*args, file=sys.stderr, **kwargs)
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def debug2(*args, **kwargs):
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print(*args, file=sys.stderr, **kwargs)
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argsparser = argparse.ArgumentParser(description="dummy generator")
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argsparser.add_argument("-f","--fps",help="Frame Per Second",default=30,type=int)
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argsparser.add_argument("-s","--speed",help="point per frame progress",default=3,type=int)
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argsparser.add_argument("-v","--verbose",action="store_true",help="Verbose output")
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args = argsparser.parse_args()
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fps=args.fps
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verbose=args.verbose
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optimal_looptime = 1 / fps
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debug(name+" optimal looptime "+str(optimal_looptime))
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width = 800
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height = 800
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white = 0xFFFFFF
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blank = 0
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def shape_scale(shape, scale_factor):
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new_shape = []
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for p in shape:
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new_shape.append([p[0] * scale_factor, p[1] * scale_factor, p[2]])
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return new_shape
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def shape_incr(shape, x, y):
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new_shape = []
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for p in shape:
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new_shape.append([p[0] + x, p[1] + y, p[2]])
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return new_shape
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comp_a = []
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comp_b = []
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comp_c = []
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comp_b.append([ 0, 3, blank])
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comp_b.append([ 0, 4, white])
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comp_b.append([ 0, 0, white])
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comp_b.append([ 3, 0, white])
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comp_b.append([ 3, 6, white])
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comp_b.append([ 3, 6, white])
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comp_b.append([ 3, 0, white])
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comp_b.append([ 3, 0, blank])
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comp_b.append([ 3, 0, white])
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comp_b.append([ 5, 4, white])
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comp_b.append([ 5, 4, blank])
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comp_a.append([ 5, 17, blank])
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comp_a.append([ 5, 17, white])
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comp_a.append([ 0, 5, white])
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comp_a.append([12, 0, white])
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comp_a.append([17, 12, white])
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comp_a.append([ 5, 17, white])
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comp_a.append([ 5, 17, blank])
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comp_c.append([-3, 5, blank])
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comp_c.append([-3, 5, white])
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comp_c.append([ 0, 4, white])
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comp_c.append([ 0, 0, white])
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comp_c.append([ 4, 0, white])
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comp_c.append([ 4, 4, white])
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comp_c.append([ 7, 5, white])
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comp_c.append([ 7, 5, blank])
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comp_a = shape_scale(comp_a, 11)
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comp_a = shape_incr(comp_a, 300, 75)
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comp_b = shape_scale(comp_b, 45)
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comp_b = shape_incr(comp_b, 0, 300)
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comp_c = shape_scale(comp_c, 30)
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comp_c = shape_incr(comp_c, 600, 300)
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shape = comp_a + comp_b + comp_c
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while True:
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start = time.time()
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print(shape, flush=True);
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looptime = time.time() - start
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if( looptime < optimal_looptime ):
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time.sleep( optimal_looptime - looptime)
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debug(name+" micro sleep:"+str( optimal_looptime - looptime))
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77
clitools/generators/drawingTests/endingPoint.py
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77
clitools/generators/drawingTests/endingPoint.py
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#!/usr/bin/python3
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# -*- coding: utf-8 -*-
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# -*- mode: Python -*-
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'''
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This generator print 3 static vertical line.
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The aim is to show The aim is to show the laser beam ignition time.
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beam when ther is no optimisation
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v0.1.0
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LICENCE : CC
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by lapin (aka nipal)
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'''
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from __future__ import print_function
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import time
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import argparse
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import sys
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name="generator::endingPoint"
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def debug(*args, **kwargs):
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if( verbose == False ):
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return
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print(*args, file=sys.stderr, **kwargs)
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argsparser = argparse.ArgumentParser(description="dummy generator")
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argsparser.add_argument("-f","--fps",help="Frame Per Second",default=30,type=int)
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argsparser.add_argument("-s","--speed",help="point per frame progress",default=3,type=int)
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argsparser.add_argument("-v","--verbose",action="store_true",help="Verbose output")
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args = argsparser.parse_args()
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fps=args.fps
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verbose=args.verbose
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optimal_looptime = 1 / fps
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debug(name+" optimal looptime "+str(optimal_looptime))
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white = 0xFFFFFF
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blank = 0
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offset_y = 100
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offset_x = 50
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begin_x = 200
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begin_y = 200
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shape_factor = [
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[0, 0, white],
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[0, 1, blank],
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[1, 1, white],
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[1, 0, blank],
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[2, 0, white],
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[2, 1, blank],
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[2, 1, blank],
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]
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shape = []
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for point in shape_factor:
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shape.append([begin_x + offset_x * point[0],
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begin_y + offset_y * point[1],
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point[2]])
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while True:
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start = time.time()
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print(shape, flush=True);
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looptime = time.time() - start
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if( looptime < optimal_looptime ):
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time.sleep( optimal_looptime - looptime)
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debug(name+" micro sleep:"+str( optimal_looptime - looptime))
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84
clitools/generators/drawingTests/order_optimization.py
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84
clitools/generators/drawingTests/order_optimization.py
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@ -0,0 +1,84 @@
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#!/usr/bin/python3
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# -*- coding: utf-8 -*-
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# -*- mode: Python -*-
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'''
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This generator print a shape with best angle representation when the path is redraw
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v0.1.0
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LICENCE : CC
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by lapin (aka nipal)
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'''
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from __future__ import print_function
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import time
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import argparse
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import sys
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import math
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name="generator::endingPoint"
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def debug(*args, **kwargs):
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if( verbose == False ):
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return
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print(*args, file=sys.stderr, **kwargs)
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def debug2(*args, **kwargs):
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print(*args, file=sys.stderr, **kwargs)
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argsparser = argparse.ArgumentParser(description="dummy generator")
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argsparser.add_argument("-f","--fps",help="Frame Per Second",default=30,type=int)
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argsparser.add_argument("-s","--speed",help="point per frame progress",default=3,type=int)
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argsparser.add_argument("-v","--verbose",action="store_true",help="Verbose output")
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args = argsparser.parse_args()
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fps=args.fps
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verbose=args.verbose
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optimal_looptime = 1 / fps
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debug(name+" optimal looptime "+str(optimal_looptime))
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width = 800
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height = 800
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white = 0xFFFFFF
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blank = 0
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point_offset = 250
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point_width = 4
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point_list = [
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[8,7,6,10,7,3,6,2,7,11,6,9],
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[5,6,1,],
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[4,7,12,],
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]
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shape = []
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# on ajoute des lilste de point
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for l in point_list:
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x = point_offset * ((l[0] - 1) % (point_width))
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y = point_offset * int((l[0] - 1) / (point_width))
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shape.append([x, y, blank])
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debug2("=====")
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debug2(f"id: {l[0]}\tx: {x}\ty: {y}\t\tpoint_width: {point_width}\t\n")
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for p in l:
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x = point_offset * ((p - 1) % (point_width))
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y = point_offset * int((p - 1) / (point_width))
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shape.append([x, y, white])
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debug2(f"id: {p}\tx: {x}\ty: {y}\t\tpoint_width: {point_width}\t\n")
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while True:
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start = time.time()
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print(shape, flush=True);
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looptime = time.time() - start
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if( looptime < optimal_looptime ):
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time.sleep( optimal_looptime - looptime)
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debug(name+" micro sleep:"+str( optimal_looptime - looptime))
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93
libs3/plotOptimizer.py
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93
libs3/plotOptimizer.py
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class Node:
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def __init__(self, sid, color):
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self.sid = sid
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self.connected = []
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self.used = False
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self.color = color
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self.is_free = None # may be an other value to initialise
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def add_nodes(self, neighbord):
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not_the_same = neighbord != self.sid
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not_allrady_inside = neighbord not in self.connected
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if neighbord != self.sid and neighbord not in self.connected:
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self.connected.append(neighbord)
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# print the content of the objet to debug with print()
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def __repr__(self):
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is_free = " \t###" if self.is_free else " \t___"
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return is_free + str(self.connected) + "\n"
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#class Graph:
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# nodes = {} # dict of all nodes
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#
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# def __init__(selt):
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# pass
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def list_to_nodes(pl):
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all_nodes = {} # it will contain all nodes
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sid_prev = None
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for p in pl:
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sid = str([int(p[0]), int(p[1])])
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is_colored = p[2] != 0
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if is_colored:
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if sid not in all_nodes:
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all_nodes[sid] = Node(sid, p[2])
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if sid_prev != None:
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all_nodes[sid].add_nodes(sid_prev)
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all_nodes[sid_prev].add_nodes(sid)
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sid_prev = sid if is_colored else None
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return all_nodes
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# recursiv function witch get all connected node for one component and tag them as used
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def get_one_comp(id_elem, nodes):
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comp = []
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comp.append(id_elem)
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nodes[id_elem].used = True
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for id_near in nodes[id_elem].connected:
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if nodes[id_near].used == False:
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comp += get_one_comp(id_near, nodes)
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return comp
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def get_comps(nodes):
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comps = [] #all component
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iter_nodes = iter(nodes)
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nb_elem = len(nodes)
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for id_nodes in iter_nodes:
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if nodes[id_nodes].used == False:
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comps.append(get_one_comp(id_nodes, nodes))
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return comps
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# if ther is a class for the component it would be a good idea to set en atribute about eulerian graph or non eulerian graph
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def set_free_vertices(components, nodes):
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for comp in components:
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all_even_neighbord = True
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for id_node in comp:
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if len(nodes[id_node].connected) % 2 == 0: # test if even neighbord
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nodes[id_node].is_free = False
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else:
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nodes[id_node].is_free = True
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all_even_neighbord = False
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if all_even_neighbord:
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for id_node in comp:
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nodes[id_node].is_free = True
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def optimizer(pl):
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all_nodes = {} # it will contain all nodes
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components = [] # list of connected node as a graph
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# construct dict of connected all_nodes
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all_nodes = list_to_nodes(pl)
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components = get_comps(all_nodes)
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set_free_vertices(components, all_nodes)
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print("\n\nall_nodes:\n", all_nodes)
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print("\n\nconnected_components:\n", components)
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return pl
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if __name__ == '__main__':
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||||
pl = [(355, 262, 0), (355, 262, 16777215), (300, 130, 16777215), (432, 75, 16777215), (487, 207, 16777215), (355, 262, 16777215), (355, 262, 0), (0, 435, 0), (0, 480, 16777215), (0, 300, 16777215), (135, 300, 16777215), (135, 570, 16777215), (135, 570, 16777215), (135, 300, 16777215), (135, 300, 0), (135, 300, 16777215), (225, 480, 16777215), (225, 480, 0), (510, 450, 0), (510, 450, 16777215), (600, 420, 16777215), (600, 300, 16777215), (720, 300, 16777215), (720, 420, 16777215), (810, 450, 16777215), (810, 450, 0)]
|
||||
optimizer(pl)
|
||||
@ -81,7 +81,8 @@ import pdb
|
||||
import ast
|
||||
import redis
|
||||
|
||||
from libs3 import homographyp
|
||||
from libs3 import homographyp, plotOptimizer as po
|
||||
|
||||
import numpy as np
|
||||
import binascii
|
||||
|
||||
@ -223,43 +224,39 @@ class DAC(object):
|
||||
|
||||
while True:
|
||||
|
||||
#pdb.set_trace()
|
||||
self.pl = po.optimizer(self.pl)
|
||||
for indexpoint,currentpoint in enumerate(self.pl):
|
||||
#print indexpoint, currentpoint
|
||||
|
||||
# transformations des point au format adapter au etherdream
|
||||
xyc = [currentpoint[0],currentpoint[1],currentpoint[2]]
|
||||
self.xyrgb = self.EtherPoint(xyc)
|
||||
#print(self.xyrgb[2:])
|
||||
rgb = (round(self.xyrgb[2:][0] *self.intred/100), round(self.xyrgb[2:][1] *self.intgreen/100), round(self.xyrgb[2:][2] *self.intblue/100))
|
||||
#print("rgb :", rgb)
|
||||
|
||||
#round(*self.intred/100)
|
||||
#round(*self.intgreen/100)
|
||||
#round(*self.intblue/100)
|
||||
|
||||
delta_x, delta_y = self.xyrgb[0] - self.xyrgb_prev[0], self.xyrgb[1] - self.xyrgb_prev[1]
|
||||
|
||||
#test adaptation selon longueur ligne
|
||||
if math.hypot(delta_x, delta_y) < 4000:
|
||||
yield self.xyrgb
|
||||
##**//# ajout de point pour un tracer adapter
|
||||
##**//delta_x, delta_y = self.xyrgb[0] - self.xyrgb_prev[0], self.xyrgb[1] - self.xyrgb_prev[1]
|
||||
##**//#test adaptation selon longueur ligne
|
||||
##**//if math.hypot(delta_x, delta_y) < 4000:
|
||||
|
||||
# For glitch art : decrease lsteps
|
||||
#l_steps = [ (1.0, 8)]
|
||||
l_steps = gstt.stepshortline
|
||||
##**// # For glitch art : decrease lsteps
|
||||
##**// #l_steps = [ (1.0, 8)]
|
||||
##**// l_steps = gstt.stepshortline
|
||||
|
||||
else:
|
||||
# For glitch art : decrease lsteps
|
||||
#l_steps = [ (0.25, 3), (0.75, 3), (1.0, 10)]
|
||||
l_steps = gstt.stepslongline
|
||||
##**//else:
|
||||
##**// # For glitch art : decrease lsteps
|
||||
##**// #l_steps = [ (0.25, 3), (0.75, 3), (1.0, 10)]
|
||||
##**// l_steps = gstt.stepslongline
|
||||
|
||||
for e in l_steps:
|
||||
step = e[0]
|
||||
##**//for e in l_steps:
|
||||
##**// step = e[0]
|
||||
|
||||
for i in range(0,e[1]):
|
||||
##**// for i in range(0,e[1]):
|
||||
|
||||
self.xyrgb_step = (self.xyrgb_prev[0] + step*delta_x, self.xyrgb_prev[1] + step*delta_y) + rgb # + self.xyrgb_prev[2:]# + rgb
|
||||
#print(self.xyrgb_step)
|
||||
yield self.xyrgb_step
|
||||
##**// self.xyrgb_step = (self.xyrgb_prev[0] + step*delta_x, self.xyrgb_prev[1] + step*delta_y) + rgb # + self.xyrgb_prev[2:]# + rgb
|
||||
##**// #print(self.xyrgb_step)
|
||||
##**// yield self.xyrgb_step
|
||||
|
||||
self.xyrgb_prev = self.xyrgb
|
||||
##**//self.xyrgb_prev = self.xyrgb
|
||||
|
||||
|
||||
def GetPoints(self, n):
|
||||
|
||||
Loading…
Reference in New Issue
Block a user