diff options
Diffstat (limited to 'updateColors.py')
| -rw-r--r-- | updateColors.py | 70 |
1 files changed, 70 insertions, 0 deletions
diff --git a/updateColors.py b/updateColors.py new file mode 100644 index 0000000..266dc5f --- /dev/null +++ b/updateColors.py @@ -0,0 +1,70 @@ +""" +Basically what I want this program to dynamically update the colors based on the desktop background +so it will grab colors from the desktop background by finding the most promident colors and then set +the system colors to these colors. I believe there are two major components involved in making this work + +i. The part of the program that analyzes an image and determines the most prominent colors +ii. The part of the program that goes into all the configuration files and updates their color schemes +""" +import sys +import numpy as np +import PIL +import cv2 as cv +from sklearn.cluster import KMeans +def grabColors(img_path: str, num_colors: int) -> list(): + """ + Takes in an image, and Number of colors, then returns a list of those colors. + The list of colors will contain the most prominent colors present in the image. + img_path - the path where your image lives (IE, /home/chandler/Pictures/moss.png) + num_colors - the number of colors you need back from the image + """ + img = cv.imread(img_path) + img = cv.cvtColor(img, cv.COLOR_BGR2RGB) + + # scale image down by factor of 10 to decrease computation time + dim = (int(len(img[0])/10), int(len(img)/10)) + img = cv.resize(img, dim, interpolation= cv.INTER_AREA) + clt = KMeans(n_clusters=num_colors, n_init='auto') + clt.fit(img.reshape(-1, 3)) + return clt.cluster_centers_ + +def rgbToHex(input_values): + """ + Takes in a list of RBG color values and returns a list of those same colors as hex values + """ + hex_list=[] + for color in input_values: + red = int(color[0]) + green = int(color[1]) + blue = int(color[2]) + hex_list.append('#{:02x}{:02x}{:02x}'.format(red, green, blue)) + return hex_list + +def compColors(color_list): + """ + given a list of colors, generate complimentary colors to contrast the prominent colors. + return a list of these colors. + """ + compliments = [] + for color in color_list: + curr_hex = color[1:] # slice off the # from the hex code + rgb = (curr_hex[0:2], curr_hex[2:4], curr_hex[4:6]) + comp = ['%02X' % (255 - int(a, 16)) for a in rgb] + compliments.append('#' + ''.join(comp)) + return compliments +def updatei3Colors(config_path: str): + pass + """ + Given a list of colors, update the color scheme using the most popular colors + + """ +popularColors = grabColors('/home/chandler/Pictures/papes/blueyellow.jpg', 5) +hex_colors = rgbToHex(popularColors) +hex_compliments = compColors(hex_colors) +print(hex_colors) +print(hex_compliments) + +def main(): + print(sys.argv[0]) + +main() |
