[init]
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alban
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200
filters/anaglyph.py
Executable file
200
filters/anaglyph.py
Executable file
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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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anaglyph
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v0.1.0
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Attempts to create a valid 3D-glasses structure
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LICENCE : CC
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by cocoa
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'''
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from __future__ import print_function
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import argparse
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import ast
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import math
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import os
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import random
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import sys
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import time
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name = "filters::cycle"
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maxDist = 300
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argsparser = argparse.ArgumentParser(description="Redis exporter LJ")
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argsparser.add_argument("-x","--centerX",help="geometrical center X position",default=400,type=int)
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argsparser.add_argument("-y","--centerY",help="geometrical center Y position",default=400,type=int)
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argsparser.add_argument("-m","--min",help="Minimal displacement (default:2) ",default=1,type=int)
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argsparser.add_argument("-M","--max",help="Maximal displacement (default:20) ",default=5,type=int)
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argsparser.add_argument("-f","--fps",help="Frame Per Second",default=30,type=int)
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argsparser.add_argument("-v","--verbose",action="store_true",help="Verbose")
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args = argsparser.parse_args()
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fps = args.fps
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minVal = args.min
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maxVal = args.max
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centerX = args.centerX
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centerY = args.centerY
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verbose = args.verbose
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optimal_looptime = 1 / fps
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name = "filters::anaglyph"
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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 rgb2int(rgb):
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#debug(name,"::rgb2int rbg:{}".format(rgb))
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return int('0x%02x%02x%02x' % tuple(rgb),0)
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def isValidColor( color, intensityColThreshold ):
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if color[0] + color[1] + color[2] > intensityColThreshold:
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return True
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return False
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# These are paper colors
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red = (41,24,24)
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white = (95,95,95)
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blue = (0,41,64)
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red = (127,0,0)
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blue = (0,128,128)
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white = (128,128,128)
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def anaglyph( pl ):
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debug(name,'--------------- new loop ------------------')
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# We will send one list after the other to optimize color change
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blueList = list()
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redList = list()
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whiteList = list()
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out = []
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out1 = []
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out2 = []
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out3 = []
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# The anaglyphic effect will be optained by :
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# * having close objects appear as white
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# * having distant objects appear as blue + red
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# * having in between objects appear as distanceDecreased(white) + blue + red
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for i, point in enumerate(pl):
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ref_x = point[0]-centerX
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ref_y = point[1]-centerY
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ref_color = point[2]
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angle = math.atan2( ref_x , ref_y )
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dist = ref_y / math.cos(angle)
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white_rvb = (0,0,0)
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blue_rvb = (0,0,0)
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red_rvb = (0,0,0)
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# Calculate the point's spread factor (0.0 to 1.0)
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# The spread is high if the point is close to center
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"""
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dist = 0 : spread = 1.0
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dist = maxDist spread = 0.0
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"""
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if dist == 0:
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spread = 1.0
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else :
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spread =( maxDist - dist ) / maxDist
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if spread < 0.0:
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spread = 0.0
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#debug(name,"dist:{} spread:{}".format(dist,spread))
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# White color is high if spread is low, i.e. point away from center
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"""
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spread = 1.0 : white_c = 0.0
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spread = 0.0 : whice_c = 1.0
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"""
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if point[2] == 0:
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white_color = 0
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else:
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white_factor = 1.0 - math.pow(spread,0.5)
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white_rvb = tuple(map( lambda a: int(white_factor* a), white))
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white_color = rgb2int( white_rvb)
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#debug(name,"spread:{}\t white_rvb:{}\t white_color:{}".format(spread, white_rvb, white_color))
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# Blue and Red colors are high if spread is high, i.e. close to center
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"""
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spread = 1.0 : red_c = 1.0
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spread = 0.0 : red_c = 0.0
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"""
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color_factor = math.pow(spread,1)
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if point[2] == 0:
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blue_color = 0
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red_color = 0
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else:
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blue_rvb = tuple(map( lambda a: int(color_factor * a), blue))
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blue_color = rgb2int( blue_rvb)
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red_rvb = tuple(map( lambda a: int(color_factor * a), red))
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red_color = rgb2int( red_rvb)
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#debug(name,"color_factor:{}\t\t blue_color:{}\t\t red_color:{}".format(color_factor,blue_color,red_color))
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# Blue-to-Red spatial spread is high when spread is high, i.e. point close to center
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"""
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spread = 1.0 : spatial_spread = maxVal
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spread = 0.0 : spatial_spread = minVal
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"""
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spatial_spread = minVal + spread * (maxVal - minVal)
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#debug(name,"spatial_spread:{}".format(spatial_spread))
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red_x = int(point[0] + spatial_spread)
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blue_x = int(point[0] - spatial_spread )
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red_y = int(point[1] )
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blue_y = int(point[1])
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white_point = [point[0], point[1], white_color]
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blue_point = [blue_x,blue_y,blue_color]
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red_point = [red_x,red_y,red_color]
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#debug(name,"white[x,y,c]:{}".format(white_point))
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#debug(name,"blue[x,y,c]:{}".format(blue_point))
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#debug(name,"red[x,y,c]:{}".format(red_point))
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# Do not append "black lines" i.e. a color where each composent is below X
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# if isValidColor(white_rvb, 150):
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# out1.append(white_point)
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# if isValidColor(blue_rvb, 50):
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# out2.append(blue_point)
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# if isValidColor(red_rvb, 30):
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# out3.append(red_point)
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out1.append(white_point)
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out2.append(blue_point)
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out3.append(red_point)
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#debug(name,"source pl:{}".format(pl))
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debug(name,"whiteList:{}".format(out1))
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debug(name,"blueList:{}".format(out2))
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debug(name,"redList:{}".format(out3))
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return out1 + out3 + out2
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#return out1 + out2 + out3
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try:
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while True:
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start = time.time()
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line = sys.stdin.readline()
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if line == "":
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time.sleep(0.01)
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line = line.rstrip('\n')
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pointsList = ast.literal_eval(line)
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# Do the filter
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result = anaglyph( pointsList )
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print( result, flush=True )
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looptime = time.time() - start
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# debug(name+" looptime:"+str(looptime))
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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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except EOFError:
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debug(name+" break")# no more information
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108
filters/colorcycle.py
Executable file
108
filters/colorcycle.py
Executable file
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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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colorcycle
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v0.1.0
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A simple effect : cycle colors
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LICENCE : CC
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by cocoa
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'''
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from __future__ import print_function
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import sys
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import ast
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import os
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import argparse
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import random
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import time
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name = "filters::cycle"
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argsparser = argparse.ArgumentParser(description="Redis exporter LJ")
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argsparser.add_argument("-x","--centerX",help="geometrical center X position",default=300,type=int)
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argsparser.add_argument("-y","--centerY",help="geometrical center Y position",default=300,type=int)
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argsparser.add_argument("-m","--min",help="Lowest value in the range 0-255",default=10,type=int)
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argsparser.add_argument("-M","--max",help="Highest value in the range 0-255",default=255,type=int)
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argsparser.add_argument("-f","--fps",help="Frame Per Second",default=30,type=int)
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argsparser.add_argument("-v","--verbose",action="store_true",help="Verbose")
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args = argsparser.parse_args()
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fps = args.fps
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minVal = args.min
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maxVal = args.max
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centerX = args.centerX
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centerY = args.centerY
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verbose = args.verbose
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optimal_looptime = 1 / fps
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UP = 5
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DOWN = -5
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currentColor = [0,0,0]
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composant = 0
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currentDirection = UP
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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 rgb2int(rgb):
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return int('0x%02x%02x%02x' % tuple(rgb),0)
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def cycleColor( pl ):
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global composant
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global currentDirection
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# debug(name,"pl:{}".format(pl))
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value = currentColor[composant]
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if currentDirection == UP:
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target = maxVal
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else:
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target = minVal
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value += currentDirection
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currentColor[composant] = value
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debug(name,"currentColor:{}".format(currentColor))
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for i in range( 0, len(pl)):
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if pl[i][2] != 0:
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pl[i][2] = rgb2int( currentColor)
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# change the composant if target reached
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if value <= target and currentDirection == DOWN or value >= target and currentDirection == UP :
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composant = random.randint( 0,2)
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value = currentColor[composant]
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if value == 0 :
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currentDirection = UP
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else:
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currentDirection = DOWN
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#debug( "pl:{}".format(pl))
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return pl
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try:
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while True:
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start = time.time()
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line = sys.stdin.readline()
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if line == "":
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time.sleep(0.01)
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line = line.rstrip('\n')
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pointsList = ast.literal_eval(line)
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# Do the filter
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result = cycleColor( pointsList )
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print( result, flush=True )
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looptime = time.time() - start
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# debug(name+" looptime:"+str(looptime))
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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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except EOFError:
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debug(name+" break")# no more information
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174
filters/kaleidoscope.py
Executable file
174
filters/kaleidoscope.py
Executable file
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@ -0,0 +1,174 @@
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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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kaleidoscop
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v0.1.0
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A simple effect : mirror a quadrant of the input
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LICENCE : CC
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by Sam Neurohack
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'''
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from __future__ import print_function
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import sys
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import ast
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import os
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import argparse
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ljpath = r'%s' % os.getcwd().replace('\\','/')
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sys.path.append(ljpath +'/../libs/')
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sys.path.append(ljpath +'/libs/')
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import time
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name = "filters::kaleidoscope"
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argsparser = argparse.ArgumentParser(description="Redis exporter LJ")
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argsparser.add_argument("-x","--centerX",help="geometrical center X position",default=400,type=int)
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argsparser.add_argument("-y","--centerY",help="geometrical center Y position",default=400,type=int)
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argsparser.add_argument("-f","--fps",help="Frame Per Second",default=30,type=int)
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argsparser.add_argument("-v","--verbose",action="store_true",help="Verbose")
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args = argsparser.parse_args()
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fps = args.fps
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centerX = args.centerX
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centerY = args.centerY
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verbose = args.verbose
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optimal_looptime = 1 / fps
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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 kaleidoscope( pl ):
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# Stage 1: Crop points in single quadrant
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quad1 = []
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# Iterate trough the segments
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for i in range( 0, len(pl) ):
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#debug(name+" point #", i)
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currentpoint = cp = pl[i]
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cx,cy,cc = [cp[0],cp[1],cp[2]]
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# Exception: escape early if last point
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if i == len(pl) - 1:
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if cx >= centerX and cy >= centerY :
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quad1.append( currentpoint )
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break
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# Search for the couple of points
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nextpoint = pl[i+1]
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nx,ny,nc = [nextpoint[0],nextpoint[1],nextpoint[2]]
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rect=[[cx,cy],[cx,ny],[nx,ny],[nx,cy]]
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right = wrong = 0
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#debug(name+" rect: ", rect,"curr",currentpoint,"next",nextpoint )
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# Enumerate the points in rectangle to see
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# how many right / wrong there are
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# either to add or skip early
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for iterator, p in enumerate(rect):
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if p[0] >= centerX and p[1] >= centerY:
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right += 1
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else:
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#if p[0] <= centerX and p[1] <= centerY:
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wrong += 1
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# If all rectangle points are in the right quadrant, Add and Skip
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if right == 4:
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quad1.append(pl[i])
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#debug(name+" found valid point", pl[i])
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continue
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# If all rectangle points in wrong quadrant, Skip
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if wrong == 4:
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#debug(name+" found bad point", pl[i])
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continue
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# Find the (x,y) intersections
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#
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#debug(name+" Looking for crossing point between ("+str(cx)+","+str(cy)+") and ("+str(nx)+","+str(ny)+")")
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delta=[ nx - cx, ny - cy ]
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#debug(name+" delta:",delta)
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crossX = None
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crossY = None
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absnewX = 0
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absnewY = 0
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# If one point has negative x, search y axis crossing
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if cx < centerX or nx < centerX:
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if delta[0] == 0 :
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delta[0] = 0.0000001
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v=[ delta[0]/abs(delta[0]), delta[1]/abs(delta[0]) ]
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absnewX = abs( centerX - cx )
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#print("on y axis, v=",str(v)," and absnewX=",str(absnewX))
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crossX = [( absnewX*v[0] + cx ),( absnewX*v[1]+cy ), nc]
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# If one point has negative y, search x axis crossing
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if cy < centerY or ny < centerY:
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if delta[1] == 0 :
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delta[1] = 0.0000001
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v=[ delta[0]/abs(delta[1]), delta[1]/abs(delta[1])]
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absnewY = abs( centerY - cy )
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#print("on x axis, v=",str(v)," and absnewY=",str(absnewY))
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crossY = [( absnewY*v[0] + cy ),( absnewY*v[1]+cy ), nc]
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# Inject in order
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# If current point is the quadrant, add it
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if cx >= centerX and cy >= centerY :
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quad1.append( currentpoint )
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# If absnewX smaller, it is closest to currentPoint
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if absnewX < absnewY:
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if None != crossX : quad1.append( crossX )
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if None != crossY : quad1.append( crossY )
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else :
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if None != crossY : quad1.append( crossY )
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if None != crossX : quad1.append( crossX )
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# Add a black point at the end
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#lastQuad1Point = quad1[-1]
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#quad1.append( [lastQuad1Point[0],lastQuad1Point[1],0] )
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## Stage 2 : Mirror points
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#
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quad2 = []
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# quad2 = vertical symetric of quad1
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for iterator in range( len(quad1) -1 , -1, -1):
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point = quad1[iterator]
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quad2.append([ point[0], 2*centerY - point[1], point[2] ])
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# quad3 is the merge of 1 and 2
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quad3 = quad1 + quad2
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# quad4 is the horizontal symetric of quad3
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quad4 = []
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for iterator in range( len(quad3) -1, -1, -1):
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point = quad3[iterator]
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quad4.append([ 2*centerX - point[0], point[1], point[2] ])
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#debug(name+" quad1:",quad1)
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#debug(name+" quad2:", quad2 )
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#debug(name+" quad3:", quad3 )
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#debug(name+" quad4:", quad4 )
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return quad3+quad4
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||||
try:
|
||||
while True:
|
||||
start = time.time()
|
||||
line = sys.stdin.readline()
|
||||
if line == "":
|
||||
time.sleep(0.01)
|
||||
line = line.rstrip('\n')
|
||||
pointsList = ast.literal_eval(line)
|
||||
# Do the filter
|
||||
result = kaleidoscope( pointsList )
|
||||
print( result, flush=True )
|
||||
|
||||
looptime = time.time() - start
|
||||
# debug(name+" looptime:"+str(looptime))
|
||||
if( looptime < optimal_looptime ):
|
||||
time.sleep( optimal_looptime - looptime)
|
||||
# debug(name+" micro sleep:"+str( optimal_looptime - looptime))
|
||||
except EOFError:
|
||||
debug(name+" break")# no more information
|
||||
|
||||
300
filters/redilysis.py
Executable file
300
filters/redilysis.py
Executable file
|
|
@ -0,0 +1,300 @@
|
|||
#!/usr/bin/python3
|
||||
# -*- coding: utf-8 -*-
|
||||
# -*- mode: Python -*-
|
||||
|
||||
|
||||
'''
|
||||
|
||||
redilysis
|
||||
v0.1.0
|
||||
|
||||
A complex effect that depends on redis keys for audio analysis
|
||||
|
||||
see https://git.interhacker.space/teamlase/redilysis for more informations
|
||||
about the redilysis project
|
||||
|
||||
LICENCE : CC
|
||||
|
||||
by cocoa
|
||||
|
||||
|
||||
'''
|
||||
from __future__ import print_function
|
||||
import argparse
|
||||
import ast
|
||||
import os
|
||||
import math
|
||||
import random
|
||||
import redis
|
||||
import sys
|
||||
import time
|
||||
name = "filters::redilysis"
|
||||
|
||||
def debug(*args, **kwargs):
|
||||
if( verbose == False ):
|
||||
return
|
||||
print(*args, file=sys.stderr, **kwargs)
|
||||
def msNow():
|
||||
return time.time()
|
||||
|
||||
# The list of available modes => redis keys each requires to run
|
||||
oModeList = {
|
||||
"rms_noise": ["rms"],
|
||||
"rms_size": ["rms"],
|
||||
"bpm_size": ["bpm"],
|
||||
"bpm_detect_size": ["bpm","bpm_delay","bpm_sample_interval","beats"]
|
||||
}
|
||||
CHAOS = 1
|
||||
REDISLATENCY = 30
|
||||
REDIS_FREQ = 300
|
||||
|
||||
# General Args
|
||||
argsparser = argparse.ArgumentParser(description="Redilysis filter")
|
||||
argsparser.add_argument("-v","--verbose",action="store_true",help="Verbose")
|
||||
# Redis Args
|
||||
argsparser.add_argument("-i","--ip",help="IP address of the Redis server ",default="127.0.0.1",type=str)
|
||||
argsparser.add_argument("-p","--port",help="Port of the Redis server ",default="6379",type=str)
|
||||
argsparser.add_argument("-s","--redis-freq",help="Query Redis every x (in milliseconds). Default:{}".format(REDIS_FREQ),default=REDIS_FREQ,type=int)
|
||||
# General args
|
||||
argsparser.add_argument("-x","--centerX",help="geometrical center X position",default=400,type=int)
|
||||
argsparser.add_argument("-y","--centerY",help="geometrical center Y position",default=400,type=int)
|
||||
argsparser.add_argument("-f","--fps",help="Frame Per Second",default=30,type=int)
|
||||
# Modes And Common Modes Parameters
|
||||
argsparser.add_argument("-l","--redisLatency",help="Latency in ms to substract. Default:{}".format(REDISLATENCY),default=REDISLATENCY,type=float)
|
||||
argsparser.add_argument("-m","--modelist",required=True,help="Comma separated list of modes to use from: {}".format("i, ".join(oModeList.keys())),type=str)
|
||||
argsparser.add_argument("--chaos",help="How much disorder to bring. High value = More chaos. Default {}".format(CHAOS), default=CHAOS, type=str)
|
||||
|
||||
args = argsparser.parse_args()
|
||||
ip = args.ip
|
||||
port = args.port
|
||||
redisFreq = args.redis_freq / 1000
|
||||
verbose = args.verbose
|
||||
fps = args.fps
|
||||
centerX = args.centerX
|
||||
centerY = args.centerY
|
||||
redisLatency = args.redisLatency
|
||||
chaos = float(args.chaos)
|
||||
optimal_looptime = 1 / fps
|
||||
|
||||
modeList = args.modelist.split(",")
|
||||
redisKeys = []
|
||||
for mode in modeList:
|
||||
if not mode in oModeList:
|
||||
print("Mode '{}' is invalid. Exiting.".format(mode))
|
||||
sys.exit(2)
|
||||
redisKeys += oModeList[mode]
|
||||
redisKeys = list(set(redisKeys))
|
||||
debug(name,"Redis Keys:{}".format(redisKeys))
|
||||
redisData = {}
|
||||
redisLastHit = msNow() - 99999
|
||||
r = redis.Redis(
|
||||
host=ip,
|
||||
port=port)
|
||||
|
||||
# Records the last bpm
|
||||
tsLastBeat = time.time()
|
||||
|
||||
def gauss(x, mu, sigma):
|
||||
return( math.exp(-math.pow((x-mu),2)/(2*math.pow(sigma,2))/math.sqrt(2*math.pi*math.pow(sigma,2))))
|
||||
|
||||
previousPTTL = 0
|
||||
tsNextBeatsList = []
|
||||
def bpmDetect( ):
|
||||
"""
|
||||
An helper to compute the next beat time in milliseconds
|
||||
Returns True if the cache was updated
|
||||
"""
|
||||
global tsNextBeatsList
|
||||
global previousPTTL
|
||||
global redisLastHit
|
||||
global redisLatency
|
||||
|
||||
# Get the redis PTTL value for bpm
|
||||
PTTL = redisData["bpm_pttl"]
|
||||
|
||||
# Skip early if PTTL < 0
|
||||
if PTTL < 0 :
|
||||
debug(name,"bpmDetect skip detection : PTTL expired for 'bpm' key")
|
||||
return False
|
||||
|
||||
# Skip early if the record hasn't been rewritten
|
||||
if PTTL <= previousPTTL :
|
||||
previousPTTL = PTTL
|
||||
#debug(name,"bpmDetect skip detection : {} <= {}".format(PTTL, previousPTTL))
|
||||
return False
|
||||
debug(name,"bpmDetect running detection : {} > {}".format(PTTL, previousPTTL))
|
||||
previousPTTL = PTTL
|
||||
|
||||
# Skip early if beat list is empty
|
||||
beatsList = ast.literal_eval(redisData["beats"])
|
||||
tsNextBeatsList = []
|
||||
if( len(beatsList) == 0 ):
|
||||
return True
|
||||
|
||||
# Read from redis
|
||||
bpm = float(redisData["bpm"])
|
||||
msBpmDelay = float(redisData["bpm_delay"])
|
||||
samplingInterval = float(redisData["bpm_sample_interval"])
|
||||
|
||||
# Calculate some interpolations
|
||||
lastBeatTiming = float(beatsList[len(beatsList) - 1])
|
||||
msPTTLDelta = 2 * samplingInterval - float(PTTL)
|
||||
sPerBeat = 60 / bpm
|
||||
lastBeatDelay = msBpmDelay - lastBeatTiming*1000 + msPTTLDelta
|
||||
countBeatsPast = math.floor( (lastBeatDelay / 1000) / sPerBeat)
|
||||
#debug(name,"bpmDetect lastBeatTiming:{}\tmsPTTLDelta:{}\tsPerBeat:{}".format(lastBeatTiming,msPTTLDelta,sPerBeat))
|
||||
#debug(name,"lastBeatDelay:{}\t countBeatsPast:{}".format(lastBeatDelay, countBeatsPast))
|
||||
for i in range( countBeatsPast, 1000):
|
||||
beatTime = i * sPerBeat - lastBeatTiming
|
||||
if beatTime < 0:
|
||||
continue
|
||||
if beatTime * 1000 > 2 * samplingInterval :
|
||||
break
|
||||
#debug(name, "bpmDetect beat add beatTime:{} redisLastHit:{}".format(beatTime, redisLastHit))
|
||||
tsNextBeatsList.append( redisLastHit + beatTime - redisLatency/1000)
|
||||
debug(name, "bpmDetect new tsNextBeatsList:{}".format(tsNextBeatsList))
|
||||
|
||||
return True
|
||||
|
||||
def bpm_detect_size( pl ):
|
||||
bpmDetect()
|
||||
|
||||
# Find the next beat in the list
|
||||
tsNextBeat = 0
|
||||
|
||||
now = time.time()
|
||||
msNearestBeat = None
|
||||
msRelativeNextBTList = list(map( lambda a: abs(now - a) * 1000, tsNextBeatsList))
|
||||
msToBeat = min( msRelativeNextBTList)
|
||||
|
||||
#debug(name,"bpm_detect_size msRelativeNextBTList:{} msToBeat:{}".format(msRelativeNextBTList,msToBeat))
|
||||
# Calculate the intensity based on bpm coming/leaving
|
||||
# The curb is a gaussian
|
||||
mu = 15
|
||||
intensity = gauss( msToBeat, 0 , mu)
|
||||
#debug(name,"bpm_size","mu:{}\t msToBeat:{}\tintensity:{}".format(mu, msToBeat, intensity))
|
||||
if msToBeat < 20:
|
||||
debug(name,"bpm_detect_size kick:{}".format(msToBeat))
|
||||
pass
|
||||
for i, point in enumerate(pl):
|
||||
ref_x = point[0]-centerX
|
||||
ref_y = point[1]-centerY
|
||||
#debug(name,"In new ref x:{} y:{}".format(point[0]-centerX,point[1]-centerY))
|
||||
angle=math.atan2( point[0] - centerX , point[1] - centerY )
|
||||
l = ref_y / math.cos(angle)
|
||||
new_l = l * intensity
|
||||
#debug(name,"bpm_size","angle:{} l:{} new_l:{}".format(angle,l,new_l))
|
||||
new_x = math.sin(angle) * new_l + centerX
|
||||
new_y = math.cos(angle) * new_l + centerY
|
||||
#debug(name,"x,y:({},{}) x',y':({},{})".format(point[0],point[1],new_x,new_y))
|
||||
pl[i][0] = new_x
|
||||
pl[i][1] = new_y
|
||||
#debug( name,"bpm_detect_size output:{}".format(pl))
|
||||
return( pl );
|
||||
|
||||
def bpm_size( pl ):
|
||||
global tsLastBeat
|
||||
bpm = float(redisData["bpm"])
|
||||
# msseconds ber beat
|
||||
msPerBeat = int(60 / bpm * 1000)
|
||||
# Calculate the intensity based on bpm coming/leaving
|
||||
# The curb is a gaussian
|
||||
mu = math.sqrt(msPerBeat)
|
||||
msTimeToLastBeat = (time.time() - tsLastBeat) * 1000
|
||||
msTimeToNextBeat = (msPerBeat - msTimeToLastBeat)
|
||||
intensity = gauss( msTimeToNextBeat, 0 , mu)
|
||||
debug(name,"bpm_size","msPerBeat:{}\tmu:{}".format(msPerBeat, mu))
|
||||
debug(name,"bpm_size","msTimeToLastBeat:{}\tmsTimeToNextBeat:{}\tintensity:{}".format(msTimeToLastBeat, msTimeToNextBeat, intensity))
|
||||
if msTimeToNextBeat <= 0 :
|
||||
tsLastBeat = time.time()
|
||||
for i, point in enumerate(pl):
|
||||
ref_x = point[0]-centerX
|
||||
ref_y = point[1]-centerY
|
||||
#debug(name,"In new ref x:{} y:{}".format(point[0]-centerX,point[1]-centerY))
|
||||
angle=math.atan2( point[0] - centerX , point[1] - centerY )
|
||||
l = ref_y / math.cos(angle)
|
||||
new_l = l * intensity
|
||||
#debug(name,"bpm_size","angle:{} l:{} new_l:{}".format(angle,l,new_l))
|
||||
new_x = math.sin(angle) * new_l + centerX
|
||||
new_y = math.cos(angle) * new_l + centerY
|
||||
#debug(name,"x,y:({},{}) x',y':({},{})".format(point[0],point[1],new_x,new_y))
|
||||
pl[i][0] = new_x
|
||||
pl[i][1] = new_y
|
||||
#debug( name,"bpm_noise output:{}".format(pl))
|
||||
return pl
|
||||
|
||||
def rms_size( pl ):
|
||||
rms = float(redisData["rms"])
|
||||
for i, point in enumerate(pl):
|
||||
|
||||
ref_x = point[0]-centerX
|
||||
ref_y = point[1]-centerY
|
||||
debug(name,"In new ref x:{} y:{}".format(point[0]-centerX,point[1]-centerY))
|
||||
angle=math.atan2( point[0] - centerX , point[1] - centerY )
|
||||
l = ref_y / math.cos(angle)
|
||||
debug(name,"angle:{} l:{}".format(angle,l))
|
||||
new_l = l + rms * chaos
|
||||
new_x = math.sin(angle) * new_l + centerX
|
||||
new_y = math.cos(angle) * new_l + centerY
|
||||
debug(name,"x,y:({},{}) x',y':({},{})".format(point[0],point[1],new_x,new_y))
|
||||
pl[i][0] = new_x
|
||||
pl[i][1] = new_y
|
||||
#debug( name,"rms_noise output:{}".format(pl))
|
||||
return pl
|
||||
|
||||
def rms_noise( pl ):
|
||||
rms = float(redisData["rms"])
|
||||
debug(name, "pl:{}".format(pl))
|
||||
for i, point in enumerate(pl):
|
||||
#debug(name,"rms_noise chaos:{} rms:{}".format(chaos, rms))
|
||||
xRandom = random.uniform(-1,1) * rms * chaos
|
||||
yRandom = random.uniform(-1,1) * rms * chaos
|
||||
#debug(name,"rms_noise xRandom:{} yRandom:{}".format(xRandom, yRandom))
|
||||
pl[i][0] += xRandom
|
||||
pl[i][1] += yRandom
|
||||
#debug( name,"rms_noise output:{}".format(pl))
|
||||
return pl
|
||||
|
||||
|
||||
def refreshRedis():
|
||||
global redisLastHit
|
||||
global redisData
|
||||
# Skip if cache is sufficent
|
||||
diff = msNow() - redisLastHit
|
||||
if diff < redisFreq :
|
||||
#debug(name, "refreshRedis not updating redis, {} < {}".format(diff, redisFreq))
|
||||
pass
|
||||
else:
|
||||
#debug(name, "refreshRedis updating redis, {} > {}".format(diff, redisFreq))
|
||||
redisLastHit = msNow()
|
||||
for key in redisKeys:
|
||||
redisData[key] = r.get(key).decode('ascii')
|
||||
#debug(name,"refreshRedis key:{} value:{}".format(key,redisData[key]))
|
||||
# Only update the TTLs
|
||||
if 'bpm' in redisKeys:
|
||||
redisData['bpm_pttl'] = r.pttl('bpm')
|
||||
#debug(name,"refreshRedis key:bpm_ttl value:{}".format(redisData["bpm_pttl"]))
|
||||
#debug(name,"redisData:{}".format(redisData))
|
||||
return True
|
||||
|
||||
try:
|
||||
while True:
|
||||
refreshRedis()
|
||||
start = time.time()
|
||||
line = sys.stdin.readline()
|
||||
if line == "":
|
||||
time.sleep(0.01)
|
||||
line = line.rstrip('\n')
|
||||
pointsList = ast.literal_eval(line)
|
||||
# Do the filter
|
||||
for mode in modeList:
|
||||
pointsList = locals()[mode](pointsList)
|
||||
print( pointsList, flush=True )
|
||||
looptime = time.time() - start
|
||||
# debug(name+" looptime:"+str(looptime))
|
||||
if( looptime < optimal_looptime ):
|
||||
time.sleep( optimal_looptime - looptime)
|
||||
# debug(name+" micro sleep:"+str( optimal_looptime - looptime))
|
||||
except EOFError:
|
||||
debug(name+" break")# no more information
|
||||
|
||||
186
filters/redilysis_colors.py
Normal file
186
filters/redilysis_colors.py
Normal file
|
|
@ -0,0 +1,186 @@
|
|||
|
||||
#!/usr/bin/python3
|
||||
# -*- coding: utf-8 -*-
|
||||
# -*- mode: Python -*-
|
||||
|
||||
|
||||
'''
|
||||
|
||||
redilysis colors
|
||||
v0.1.0
|
||||
|
||||
A complex effect that depends on redis keys for audio analysis
|
||||
|
||||
see https://git.interhacker.space/teamlase/redilysis for more informations
|
||||
about the redilysis project
|
||||
|
||||
LICENCE : CC
|
||||
|
||||
by cocoa
|
||||
|
||||
|
||||
'''
|
||||
from __future__ import print_function
|
||||
import argparse
|
||||
import ast
|
||||
import os
|
||||
import math
|
||||
import random
|
||||
import redis
|
||||
import sys
|
||||
import time
|
||||
name = "filters::redilysis_colors"
|
||||
|
||||
def debug(*args, **kwargs):
|
||||
if( verbose == False ):
|
||||
return
|
||||
print(*args, file=sys.stderr, **kwargs)
|
||||
def msNow():
|
||||
return time.time()
|
||||
|
||||
# The list of available modes => redis keys each requires to run
|
||||
oModeList = {
|
||||
}
|
||||
|
||||
def rgb2int(rgb):
|
||||
return int('0x%02x%02x%02x' % tuple(rgb),0)
|
||||
|
||||
def int2rgb(intcode):
|
||||
#hexcode = hex(intcode)[2:]
|
||||
hexcode = '{0:06X}'.format(intcode)
|
||||
return tuple(int(hexcode[i:i+2], 16) for i in (0, 2, 4))
|
||||
#return tuple(map(ord,hexcode[1:].decode('hex')))
|
||||
|
||||
|
||||
|
||||
CHAOS = 1
|
||||
REDIS_FREQ = 100
|
||||
|
||||
# General Args
|
||||
argsparser = argparse.ArgumentParser(description="Redilysis filter")
|
||||
argsparser.add_argument("-f","--fps",help="Frame Per Second",default=30,type=int)
|
||||
argsparser.add_argument("-v","--verbose",action="store_true",help="Verbose")
|
||||
# Redis Args
|
||||
argsparser.add_argument("-i","--ip",help="IP address of the Redis server ",default="127.0.0.1",type=str)
|
||||
argsparser.add_argument("-p","--port",help="Port of the Redis server ",default="6379",type=str)
|
||||
argsparser.add_argument("-s","--redis-freq",help="Query Redis every x (in milliseconds). Default:{}".format(REDIS_FREQ),default=REDIS_FREQ,type=int)
|
||||
# Modes And Common Modes Parameters
|
||||
#argsparser.add_argument("-m","--modelist",required=False,help="Comma separated list of modes to use from: {}".format("i, ".join(oModeList.keys())),type=str)
|
||||
argsparser.add_argument("-c","--chaos",help="How much disorder to bring. High value = More chaos. Default {}".format(CHAOS), default=CHAOS, type=float)
|
||||
|
||||
args = argsparser.parse_args()
|
||||
fps = args.fps
|
||||
ip = args.ip
|
||||
port = args.port
|
||||
redisFreq = args.redis_freq / 1000
|
||||
verbose = args.verbose
|
||||
chaos = float(args.chaos)
|
||||
optimal_looptime = 1 / fps
|
||||
|
||||
max_width = 800
|
||||
max_height = 800
|
||||
|
||||
redisKeys = ["rms","spectrum_10","spectrum_120"]
|
||||
|
||||
debug(name,"Redis Keys:{}".format(redisKeys))
|
||||
redisData = {}
|
||||
redisLastHit = msNow() - 99999
|
||||
r = redis.Redis(
|
||||
host=ip,
|
||||
port=port)
|
||||
|
||||
|
||||
def refreshRedis():
|
||||
global redisData
|
||||
for key in redisKeys:
|
||||
try:
|
||||
redisData[key] = ast.literal_eval(r.get(key).decode('ascii'))
|
||||
except :
|
||||
debug("Error when reading redis key '{}".format(key))
|
||||
|
||||
def gauss(x, mu, sigma):
|
||||
return( math.exp(-math.pow((x-mu),2)/(2*math.pow(sigma,2))/math.sqrt(2*math.pi*math.pow(sigma,2))))
|
||||
|
||||
|
||||
spect10Correct = [
|
||||
|
||||
6.0,
|
||||
1.5,
|
||||
1.0,
|
||||
1.0,
|
||||
1.0,
|
||||
1.0,
|
||||
1.0,
|
||||
0.8,
|
||||
0.6,
|
||||
0.5,
|
||||
|
||||
]
|
||||
|
||||
def default( pl ):
|
||||
global redisData
|
||||
spect = redisData["spectrum_10"]
|
||||
debug(name, "spect:{}".format(spect))
|
||||
new_list = []
|
||||
|
||||
# We want to color points that are on left and right when high is strong
|
||||
# i.e. the farther the distance from spectrum, the higher notes have influence
|
||||
# power = 0-1
|
||||
# x = 800 spec[2]= 6.0 spec[7]=0.0 power=0.0
|
||||
# x = 0 spec[2]= 6.0 spec[7]=0.0 power=0.0
|
||||
# x = 0 spec[2]= 1.0 spec[7]=0.5 power=1.0
|
||||
|
||||
# dist 0 = 1
|
||||
# 400 - 400 : maxW/2 -x
|
||||
# 399 = -1 : x - 400
|
||||
# 401 = 1
|
||||
# x = 400 spec[2]= 6.0 spec[7]=0.0 power=1.0
|
||||
# x = 400 spec[2]= 1.0 spec[7]=0.5 power=0.0
|
||||
|
||||
for i, point in enumerate(pl):
|
||||
ocolor = pl[i][2]
|
||||
if ocolor == 0 :
|
||||
new_list.append(point)
|
||||
continue
|
||||
colorTuple = int2rgb(ocolor)
|
||||
x = point[0]
|
||||
dist = abs(x - max_width/2)
|
||||
key = int(2* dist / max_width * 8)
|
||||
power = spect[key] / spect10Correct[key] * chaos
|
||||
color = []
|
||||
for i in colorTuple:
|
||||
new_color = int(i * power)
|
||||
if new_color > 255 :
|
||||
new_color = 255
|
||||
if new_color < 0 :
|
||||
new_color = 0
|
||||
color.append( new_color )
|
||||
color = rgb2int(tuple(color))
|
||||
|
||||
point[2] = color
|
||||
new_list.append(point)
|
||||
#debug(name,"x:{}\t dist:{}\t key:{}\t power:{}\t ocolor:{}\t color:{}".format(point[0], dist, key,power, ocolor, pl[i][2]))
|
||||
debug( name,"rms_noise output:{}".format(new_list))
|
||||
return new_list
|
||||
|
||||
|
||||
try:
|
||||
while True:
|
||||
refreshRedis()
|
||||
start = time.time()
|
||||
line = sys.stdin.readline()
|
||||
if line == "":
|
||||
time.sleep(0.01)
|
||||
line = line.rstrip('\n')
|
||||
pointsList = ast.literal_eval(line)
|
||||
# Do the filter
|
||||
pointsList = default(pointsList)
|
||||
print( pointsList, flush=True )
|
||||
looptime = time.time() - start
|
||||
# debug(name+" looptime:"+str(looptime))
|
||||
if( looptime < optimal_looptime ):
|
||||
time.sleep( optimal_looptime - looptime)
|
||||
# debug(name+" micro sleep:"+str( optimal_looptime - looptime))
|
||||
except EOFError:
|
||||
debug(name+" break")# no more information
|
||||
|
||||
Loading…
Add table
Add a link
Reference in a new issue