performance improvement

This commit is contained in:
Siwat Sirichai 2022-03-30 11:10:28 +07:00
parent 8679169583
commit 73c31c0fb3
2 changed files with 114 additions and 2 deletions

View File

@ -27,7 +27,7 @@ FAST_MODE = True
def find_dorminant_color(im): def find_dorminant_color(im):
if FAST_MODE: if FAST_MODE:
color = cupy.reshape(cupy.asarray(im),(-1,3)) color = cupy.reshape(cupy.asarray(im),(-1,3))
color = cupy.mean(color,axis=0) color = cupy.median(color,axis=0)
return color return color
else: else:
@ -63,8 +63,9 @@ lastTime = timestamp()
def processTopLeds(): def processTopLeds():
global NUM_LEDS,BOARDER_SIZE,TOP_LEDS,RIGHT_LEDS,BUTTOM_LEDS,LEFT_LEDS,board,screenshot global NUM_LEDS,BOARDER_SIZE,TOP_LEDS,RIGHT_LEDS,BUTTOM_LEDS,LEFT_LEDS,board,screenshot
top = screenshot.crop(box=[0,0,size.width,BOARDER_SIZE])
while True: while True:
top = screenshot.crop(box=[0,0,size.width,BOARDER_SIZE])
for i in range(0,TOP_LEDS): for i in range(0,TOP_LEDS):
segment = top.crop(box=[i*size.width/TOP_LEDS,0,(i+1)*size.width/TOP_LEDS,BOARDER_SIZE]) segment = top.crop(box=[i*size.width/TOP_LEDS,0,(i+1)*size.width/TOP_LEDS,BOARDER_SIZE])
colors = [int(color) for color in find_dorminant_color(segment)] colors = [int(color) for color in find_dorminant_color(segment)]

View File

@ -0,0 +1,111 @@
from tkinter import TOP
import pyautogui
import scipy.cluster as cluster
import scipy
import sys
import numpy as np
from time import sleep, time
import numpy
import signal
import atexit
from time import perf_counter as timestamp
from telemetrix_rpi_pico import telemetrix_rpi_pico
from multiprocessing import Pool
import PIL.ImageGrab
class size:
width = None
height = None
def sigint_handler(signal=None, frame=None):
print ('KeyboardInterrupt is caught')
board.neopixel_clear()
sleep(0.75)
board.shutdown()
sys.exit(0)
FAST_MODE = False
def find_dorminant_color(im):
if FAST_MODE:
color = numpy.reshape(numpy.asarray(im),(-1,3))
color = numpy.median(color,axis=0)
return color
else:
NUM_CLUSTERS = 3
im = im.resize((50, 50))
ar = np.asarray(im)
shape = ar.shape
ar = ar.reshape(np.product(shape[:2]), shape[2]).astype(float)
codes, dist = cluster.vq.kmeans(ar, NUM_CLUSTERS)
vecs, dist = cluster.vq.vq(ar, codes)
counts, bins = np.histogram(vecs, len(codes))
index_max = np.argmax(counts)
peak = codes[index_max]
return peak
if __name__ == '__main__':
signal.signal(signal.SIGINT, sigint_handler)
atexit.register(sigint_handler)
global NUM_LEDS,BOARDER_SIZE,TOP_LEDS,RIGHT_LEDS,BUTTOM_LEDS,LEFT_LEDS,screenshot,board
board = telemetrix_rpi_pico.TelemetrixRpiPico()
BOARDER_SIZE = 150
TOP_LEDS = 19
RIGHT_LEDS = 11
BUTTOM_LEDS = 17
LEFT_LEDS = 10
REDUCTION = 4
NUM_LEDS = TOP_LEDS+RIGHT_LEDS+BUTTOM_LEDS+LEFT_LEDS
board.set_pin_mode_neopixel(pin_number=2,num_pixels=NUM_LEDS)
board.neopixel_clear(auto_show=True)
size = size()
size.width=pyautogui.size().width/REDUCTION
size.height=pyautogui.size().height/REDUCTION
board.neopixel_show()
screenshot = pyautogui.screenshot()
pool = Pool(16)
while True:
try:
screenshot = PIL.ImageGrab.grab()
lastTime = timestamp()
chunk = []
top = screenshot.crop(box=[0,0,size.width,BOARDER_SIZE])
left = screenshot.crop(box=[0,0,BOARDER_SIZE,size.height])
buttom = screenshot.crop(box=[0,size.height-BOARDER_SIZE,size.width,size.height])
right = screenshot.crop(box=[size.width-BOARDER_SIZE,0,size.width,size.height])
for i in range(0,TOP_LEDS):
segment = top.crop(box=[i*size.width/TOP_LEDS,0,(i+1)*size.width/TOP_LEDS,BOARDER_SIZE])
chunk.insert(i,segment)
for i in range(0,LEFT_LEDS):
segment = left.crop(box=[0,i*size.height/LEFT_LEDS,BOARDER_SIZE,(i+1)*size.height/LEFT_LEDS])
chunk.insert(TOP_LEDS+RIGHT_LEDS+BUTTOM_LEDS+LEFT_LEDS-i,segment)
for i in range(0,BUTTOM_LEDS):
segment = buttom.crop(box=[i*size.width/BUTTOM_LEDS,0,(i+1)*size.width/BUTTOM_LEDS,BOARDER_SIZE])
chunk.insert(TOP_LEDS+RIGHT_LEDS+BUTTOM_LEDS-i,segment)
board.neopixel_show()
for i in range(0,RIGHT_LEDS):
segment = right.crop(box=[0,i*size.height/RIGHT_LEDS,BOARDER_SIZE,(i+1)*size.height/RIGHT_LEDS])
chunk.insert(i+TOP_LEDS,segment)
colors = pool.map(find_dorminant_color,chunk)
for i in range(0,len(colors)):
board.neo_pixel_set_value(i,r=int(colors[i][0]),g=int(colors[i][1]),b=int(colors[i][2]))
board.neopixel_show()
except Exception as e:
print(e)
print("Retrying")
#print("loop time : "+str(timestamp()-lastTime))