def avg_screen_color(initial_color):
monitor = config["AverageColor"]["DefaultMonitor"]
if monitor == "all":
im = getScreenAsImage()
else:
im = getRectAsImage(eval(monitor))
color = im.resize((1, 1), Image.HAMMING).getpixel((0, 0))
color_hsbk = utils.RGBtoHSBK(color, temperature=initial_color[3])
# return tuple((val1+val2)/2 for (val1, val2) in zip(initial_color, color_hsbk))
return utils.RGBtoHSBK(color, temperature=initial_color[3])
def mode_screen_color(initial_color):
""" Probably a more accurate way to get screen color, but is incredibly slow. """
im = getRectAsImage(getDisplayRects()[1]).resize((500, 500))
color = mode(
im.load()[x, y] for x in range(im.width) for y in range(im.height)
if im.load()[x, y] != (255, 255, 255) and im.load()[x, y] != (0, 0, 0))
return utils.RGBtoHSBK(color, temperature=initial_color[3])
def dominant_screen_color(initial_color, func_bounds=lambda: None):
"""
Gets the dominant color of the screen defined by func_bounds
https://stackoverflow.com/questions/50899692/most-dominant-color-in-rgb-image-opencv-numpy-python
"""
monitor = get_monitor_bounds(func_bounds)
if "full" in monitor:
screenshot = get_screen_as_image()
else:
screenshot = get_rect_as_image(str2list(monitor, int))
downscale_width, downscale_height = screenshot.width // 4, screenshot.height // 4
screenshot = screenshot.resize((downscale_width, downscale_height), Image.HAMMING)
a = np.array(screenshot)
a2D = a.reshape(-1, a.shape[-1])
col_range = (256, 256, 256) # generically : a2D.max(0)+1
eval_params = {
"a0": a2D[:, 0],
"a1": a2D[:, 1],
"a2": a2D[:, 2],
"s0": col_range[0],
"s1": col_range[1],
}
a1D = ne.evaluate("a0*s0*s1+a1*s0+a2", eval_params)
color = np.unravel_index(np.bincount(a1D).argmax(), col_range)
return list(utils.RGBtoHSBK(color, temperature=initial_color[3]))
def dominant_screen_color(initial_color, func_bounds=lambda: None):
"""
https://stackoverflow.com/questions/50899692/most-dominant-color-in-rgb-image-opencv-numpy-python
"""
monitor = get_monitor_bounds(func_bounds)
if "full" in monitor:
screenshot = getScreenAsImage()
else:
screenshot = getRectAsImage(str2list(monitor, int))
downscale_width, downscale_height = screenshot.width // 4, screenshot.height // 4
screenshot = screenshot.resize((downscale_width, downscale_height),
Image.HAMMING)
a = np.array(screenshot)
a2D = a.reshape(-1, a.shape[-1])
col_range = (256, 256, 256) # generically : a2D.max(0)+1
eval_params = {
'a0': a2D[:, 0],
'a1': a2D[:, 1],
'a2': a2D[:, 2],
's0': col_range[0],
's1': col_range[1]
}
a1D = ne.evaluate('a0*s0*s1+a1*s0+a2', eval_params)
color = np.unravel_index(np.bincount(a1D).argmax(), col_range)
color_hsbk = list(utils.RGBtoHSBK(color, temperature=initial_color[3]))
# color_hsbk[2] = initial_color[2] # TODO Decide this
return color_hsbk
def avg_screen_color(initial_color, func_bounds=lambda: None):
""" Capture an image of the monitor defined by func_bounds, then get the average color of the image in HSBK """
monitor = get_monitor_bounds(func_bounds)
if "full" in monitor:
screenshot = get_screen_as_image()
else:
screenshot = get_rect_as_image(str2list(monitor, int))
# Resizing the image to 1x1 pixel will give us the average for the whole image (via HAMMING interpolation)
color = screenshot.resize((1, 1), Image.HAMMING).getpixel((0, 0))
return list(utils.RGBtoHSBK(color, temperature=initial_color[3]))