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python-telemetrix-ambilight
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rename methods

This commit is contained in:
Siwat Sirichai 2022-03-31 12:29:41 +07:00
parent 7df9e27007
commit 5c1caffc64
2 changed files with 32 additions and 33 deletions
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49
ambilight_mulitprocessing.py
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@ -13,15 +13,16 @@ from multiprocessing import Pool
import PIL.ImageGrab import PIL.ImageGrab
from PIL import Image from PIL import Image
import colorsys import colorsys
from scipy.stats import mode
import win32gui, win32ui, win32con import win32gui, win32ui, win32con
BOARDER_SIZE = 50 BOARDER_SIZE = 300
TOP_LEDS = 19 TOP_LEDS = 19
RIGHT_LEDS = 11 RIGHT_LEDS = 11
BUTTOM_LEDS = 19 BUTTOM_LEDS = 19
LEFT_LEDS = 11 LEFT_LEDS = 11
MIN_TIME = 0.05 MIN_TIME = 0.05
FAST_MODE = True METHOD = 'MEDIAN' #MEAN/MEDIAN/MODE/CLUSTER_MEAN, WARNING: CLUSTER_MEAN might burn down your house.
SATURATION_BOOST_FACTOR = 2 SATURATION_BOOST_FACTOR = 2
NUM_CLUSTERS = 3 NUM_CLUSTERS = 3
KMEAN_QUALITY = 50 KMEAN_QUALITY = 50
@ -29,6 +30,15 @@ NUM_THREADS = 16
if __name__ == '__main__': if __name__ == '__main__':
board = telemetrix_rpi_pico.TelemetrixRpiPico() board = telemetrix_rpi_pico.TelemetrixRpiPico()
def sigint_handler(signal=None, frame=None):
if __name__ == '__main__':
print ('KeyboardInterrupt is caught')
board.neopixel_clear()
sleep(0.75)
board.shutdown()
exit()
class size: class size:
width = None width = None
height = None height = None
@ -36,26 +46,18 @@ class size:
def get_screenshot(): def get_screenshot():
return PIL.ImageGrab.grab() return PIL.ImageGrab.grab()
def sigint_handler(signal=None, frame=None):
print ('KeyboardInterrupt is caught')
board.neopixel_clear()
sleep(0.75)
board.shutdown()
exit()
def find_dorminant_color(im): def find_dorminant_color(im):
if FAST_MODE:
color = numpy.reshape(numpy.asarray(im),(-1,3))
color = numpy.median(color,axis=0)
h,s,v = colorsys.rgb_to_hsv(r=color[0]/255,g=color[1]/255,b=color[2]/255)
s = min(1,s*SATURATION_BOOST_FACTOR)
r,g,b = colorsys.hsv_to_rgb(h=h,s=s,v=v)
return [r*255,g*255,b*255]
else:
color = numpy.reshape(numpy.asarray(im),(-1,3))
if METHOD == 'MODE':
color = mode(color,axis=0).mode[0]
elif METHOD == 'MEDIAN':
color = np.median(color,axis=0)
elif METHOD == 'MEAN':
color = np.mean(color,axis=0)
elif METHOD == 'CLUSTER_MEAN':
im = im.resize((KMEAN_QUALITY, KMEAN_QUALITY)) im = im.resize((KMEAN_QUALITY, KMEAN_QUALITY))
ar = np.asarray(im) ar = np.asarray(im)
shape = ar.shape shape = ar.shape
@ -66,12 +68,12 @@ def find_dorminant_color(im):
counts, bins = np.histogram(vecs, len(codes)) counts, bins = np.histogram(vecs, len(codes))
index_max = np.argmax(counts) index_max = np.argmax(counts)
peak = codes[index_max] color = codes[index_max]
h,s,v = colorsys.rgb_to_hsv(r=peak[0]/255,g=peak[1]/255,b=peak[2]/255) h,s,v = colorsys.rgb_to_hsv(r=color[0]/255,g=color[1]/255,b=color[2]/255)
s = min(1,s*SATURATION_BOOST_FACTOR) s = min(1,s*SATURATION_BOOST_FACTOR)
r,g,b = colorsys.hsv_to_rgb(h=h,s=s,v=v) r,g,b = colorsys.hsv_to_rgb(h=h,s=s,v=v)
return [r*255,g*255,b*255] return [r*255,g*255,b*255]
if __name__ == '__main__': if __name__ == '__main__':
size = size() size = size()
size.width=pyautogui.size().width size.width=pyautogui.size().width
@ -120,4 +122,5 @@ if __name__ == '__main__':
sleep(0.001) sleep(0.001)
print("loop time : "+str(timestamp()-lastTime)) print("loop time : "+str(timestamp()-lastTime))
except Exception as e: except Exception as e:
print(e)
print("Retrying") print("Retrying")

12
test.py
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@ -1,12 +1,8 @@
import cupy import cupy
import colorsys import colorsys
from matplotlib impl plot from scipy.stats import mode
import numpy as np
peak = [124.3,231.5, 64.4] a = np.asarray([[134,452,532],[123,531,532],[111,553,742]])
h,s,v = colorsys.rgb_to_hsv(r=peak[0]/255,g=peak[1]/255,b=peak[2]/255) print(mode(a).mode[0])
SATURATION_BOOST_FACTOR = 1.5
s = min(1,s*SATURATION_BOOST_FACTOR)
print([h,s,v])
r,g,b = colorsys.hsv_to_rgb(h=h,s=s,v=v)
print([r,g,b])