rename methods

ambilight_mulitprocessing.py

@@ -13,15 +13,16 @@ from multiprocessing import Pool
 import PIL.ImageGrab
 from PIL import Image
 import colorsys
+from scipy.stats import mode
 import win32gui, win32ui, win32con
 
-BOARDER_SIZE = 50
+BOARDER_SIZE = 300
 TOP_LEDS = 19
 RIGHT_LEDS = 11
 BUTTOM_LEDS = 19
 LEFT_LEDS = 11
 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
 NUM_CLUSTERS = 3
 KMEAN_QUALITY = 50
@@ -29,6 +30,15 @@ NUM_THREADS = 16
 
 if __name__ == '__main__':
     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:
     width = None
     height = None
@@ -36,26 +46,18 @@ class size:
 def get_screenshot():
     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):
-    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:
-        
     
+    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))
         ar = np.asarray(im)
         shape = ar.shape
@@ -66,9 +68,9 @@ def find_dorminant_color(im):
         counts, bins = np.histogram(vecs, len(codes))
 
         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)
     r,g,b = colorsys.hsv_to_rgb(h=h,s=s,v=v)
     return [r*255,g*255,b*255]
@@ -120,4 +122,5 @@ if __name__ == '__main__':
                 sleep(0.001)
             print("loop time : "+str(timestamp()-lastTime))
         except Exception as e:
+            print(e)
             print("Retrying")

test.py

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