updated background dominant color calculation

reworked updater to work as handler, will restart if exception

.cache

@@ -1 +1 @@
-{"access_token": "BQAwNuSTPsxO_L1DyV-7sSX_5ymdMsBTCQl1K7JBu0S2dTa6sHzUbgwKECv3zMdlKwiopbW7a7tz1yVllgKqGAMZxgFeitoAenswfmYaT2buecmrYiA28bWh14PW26Ypdg_bJWz3x40bT9QP4dF-8vu23d_-FOVUTT0EcO7t6zI95GtB2Awp2z98VAQ_MdUFWohptYtD5HXg7qK2nnvi", "token_type": "Bearer", "expires_in": 3600, "scope": "user-library-modify user-library-read user-modify-playback-state user-read-playback-state", "expires_at": 1679465977, "refresh_token": "AQC5BsmRqj_PhCL7Xj32C6Pz4UeFF09ZufzWv0NU1lGwZCUGaWAQP8F4twJf3Rx5EfKyAg4DIEnHZIFd6e5L4bPQXhPUny2t7A1AA5hCwfFI_LjXWWPij8oKX_0YDr6CXK0"}
+{"access_token": "BQA33plRMZf_O-Cr91vOocSFUB4RMzjSPuXvxoFjVsVYuFPahghyGXQxYtQqMgkHh_Pga_Pg5FIwGrInUDQ-Npz9Dd_oFOWjs0Grg34hKxQTUJG21SNKtybjgLaOqDP08PUWZ2ubtReWY4yS2dpSYwixrAsvu8QCPH9LmkYq4qO20vQzevFNGh0TLmDTM31zSPqa0tWOTqnO35SaQr4u", "token_type": "Bearer", "expires_in": 3600, "scope": "user-library-modify user-library-read user-modify-playback-state user-read-playback-state", "expires_at": 1679903241, "refresh_token": "AQC5BsmRqj_PhCL7Xj32C6Pz4UeFF09ZufzWv0NU1lGwZCUGaWAQP8F4twJf3Rx5EfKyAg4DIEnHZIFd6e5L4bPQXhPUny2t7A1AA5hCwfFI_LjXWWPij8oKX_0YDr6CXK0"}

requirements.txt

@@ -1,7 +1,7 @@
 librespot
 Pillow
-PyAutoGUI
 requests
 spotipy
 sv_ttk
 syncedlyrics
+numpy

spotifycontroller.py

@@ -12,6 +12,7 @@ import math
 from time import sleep
 import threading
 import queue
+import numpy
 
 # SpotifyGUI - Made by Brandon Brunson
 
@@ -251,24 +252,58 @@ def addCorners(im, rad):
   
 #   return back
 
-def get_colors(image_file, numcolors=1, resize=150):
+# def get_colors(image_file, resize=150):
+#     # Resize image to speed up processing
+#     image_file.thumbnail((resize, resize))
+    
+#     max_count_index = numpy.argmax(numpy.unique(numpy.array(image_file).reshape(-1, numpy.array(image_file).shape[-1]), axis=0, return_counts=True)[1])
+
+#     # colors = list()
+#     # for i in range(numcolors):
+#     #     palette_index = color_counts[i][1]
+#     #     dominant_color = palette[palette_index*3:palette_index*3+3]
+#     #     colors.append(tuple(dominant_color))
+
+#     return tuple(numpy.unique(numpy.array(image_file).reshape(-1, numpy.array(image_file).shape[-1]), axis=0, return_counts=True)[0][max_count_index])
+
+def get_colors(image_file, resize=150):
     # Resize image to speed up processing
     image_file.thumbnail((resize, resize))
 
     # Reduce to palette
-    paletted = image_file.convert('P', palette=Image.ADAPTIVE, colors=numcolors)
+    numpy_array = numpy.array(image_file)
+
+    pixels = numpy_array.reshape(-1, numpy_array.shape[-1])
+    color_counts = numpy.unique(pixels, axis=0, return_counts=True)
+    max_count_index = numpy.argmax(color_counts[1])
 
-    # Find dominant colors
-    palette = paletted.getpalette()
-    # color_counts = sorted(paletted.getcolors(), reverse=True)
-    dominant_color = (palette[0], palette[1], palette[2])
     # colors = list()
     # for i in range(numcolors):
     #     palette_index = color_counts[i][1]
     #     dominant_color = palette[palette_index*3:palette_index*3+3]
     #     colors.append(tuple(dominant_color))
 
-    return dominant_color
+    return tuple(color_counts[0][max_count_index])
+
+# def get_colors(image_file, numcolors=1, resize=150):
+#     # Resize image to speed up processing
+#     image_file.thumbnail((resize, resize))
+
+#     # Reduce to palette
+#     paletted = image_file.convert('P', palette=Image.ADAPTIVE, colors=numcolors)
+
+#     # Find dominant colors
+#     palette = paletted.getpalette()
+#     # color_counts = sorted(paletted.getcolors(), reverse=True)
+#     dominant_color = (palette[0], palette[1], palette[2])
+#     # colors = list()
+#     # for i in range(numcolors):
+#     #     palette_index = color_counts[i][1]
+#     #     dominant_color = palette[palette_index*3:palette_index*3+3]
+#     #     colors.append(tuple(dominant_color))
+
+#     return dominant_color
+
 
 def getLyrics(artist_name, track_name):
     lrc = syncedlyrics.search("[" + track_name + "] [" + artist_name + "]")
@@ -489,8 +524,11 @@ def unloadSearching_Devices():
 
 # Start updating the song label
 # setup()
+
+# Run the GUI
+
+
 loadNow_playing()
 update_song_label()
 
-# Run the GUI
 root.mainloop()

update.py

@@ -3,6 +3,7 @@ from urllib.request import urlopen
 from zipfile import ZipFile
 from io import BytesIO
 from time import sleep
+import subprocess
 
 
 while True:
@@ -23,9 +24,11 @@ except urllib.error.HTTPError:
     print("No update available.")
     pass
 
-try:
-    exec(open('spotifycontroller.py').read())
-except:
-    print("An error has ocurred, reestablishing the application in 10 seconds.")
-    sleep(10)
-    exec(open('spotifycontroller.py').read())
+
+while True:
+    try:
+        subprocess.check_call(['python', 'spotifycontroller.py'])
+    except:
+        print("An error has ocurred, reestablishing the application in 10 seconds.")
+        sleep(10)
+        continue