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Improve color conversion method. Allow for comparison_comparison to test all color spaces

This commit is contained in:
mmcwilliams 2023-10-24 16:14:56 -04:00
parent e22bffbe25
commit f0de99a148
3 changed files with 92 additions and 10 deletions
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63
py/comparison_comparison.py
View File

@ -4,19 +4,68 @@ from pallete_schema import PalleteSchema
class ComparisonComparison:
def __init__ (self) :
c = [0, 0, 255]
print(c)
cc = self.convert_color(c, cv2.COLOR_BGR2RGB, cv2.COLOR_RGB2LAB)
print(cc)
print(self.convert_color(cc, cv2.COLOR_BGR2LAB, cv2.COLOR_LAB2RGB))
red = [0, 10, 200]
green = [5, 250, 5]
blue = [240, 0, 20]
comp_colors = [red, green, blue]
pallete = PalleteSchema('./palletes/test_pallete.json')
colors = self.get_colors(pallete.colors)
for cc in comp_colors :
ccbgr = self.convert_color(cc, 'RGB', 'BGR')
closest = self.closest(colors, ccbgr)
print(f'{closest} for {ccbgr}')
def get_colors (self, pallete) :
colors = []
for color in pallete :
colors.append(color['color'])
return colors
def convert_color (self, color, color_space_a, color_space_b) :
pixel = np.zeros([1, 1, 3], dtype=np.uint8)
pixel = cv2.cvtColor(pixel, color_space_a)
if color_space_a == 'RGB' :
pixel = cv2.cvtColor(pixel, cv2.COLOR_BGR2RGB)
elif color_space_a == 'LAB' :
pixel = cv2.cvtColor(pixel, cv2.COLOR_BGR2LAB)
elif color_space_a == 'HSV' :
pixel = cv2.cvtColor(pixel, cv2.COLOR_BGR2HSV)
#default is BGR
pixel[:] = color
cvt = cv2.cvtColor(pixel, color_space_b)
if color_space_a == 'RGB' and color_space_b == 'BGR' :
b = cv2.COLOR_RGB2BGR
elif color_space_a == 'BGR' and color_space_b == 'RGB' :
b = cv2.COLOR_BGR2RGB
elif color_space_a == 'RGB' and color_space_b == 'LAB' :
b = cv2.COLOR_RGB2LAB
elif color_space_a == 'LAB' and color_space_b == 'RGB' :
b = cv2.COLOR_LAB2RGB
elif color_space_a == 'BGR' and color_space_b == 'LAB' :
b = cv2.COLOR_BGR2LAB
elif color_space_a == 'LAB' and color_space_b == 'BGR' :
b = cv2.COLOR_LAB2BGR
elif color_space_a == 'HSV' and color_space_b == 'LAB' :
b = cv2.COLOR_HSV2LAB
elif color_space_a == 'LAB' and color_space_b == 'HSV' :
b = cv2.COLOR_LAB2HSV
elif color_space_a == 'RGB' and color_space_b == 'HSV' :
b = cv2.COLOR_RGB2HSV
elif color_space_a == 'HSV' and color_space_b == 'RGB' :
b = cv2.COLOR_HSV2RGB
elif color_space_a == 'BGR' and color_space_b == 'HSV' :
b = cv2.COLOR_BGRHSV
elif color_space_a == 'HSV' and color_space_b == 'BGR' :
b = cv2.COLOR_HSV2BGR
cvt = cv2.cvtColor(pixel, b)
return cvt[0, 0]
def closest(self, colors, color):
colors = np.array(colors)
color = np.array(color)
distances = np.sqrt(np.sum((colors - color) ** 2, axis=1))
index_of_smallest = np.where(distances == np.amin(distances))
smallest_distance = colors[index_of_smallest]
return smallest_distance
if __name__ == "__main__":
ComparisonComparison()

4
py/pallete_schema.py
View File

@ -21,8 +21,10 @@ class PalleteSchema :
def __init__ (self, file = None, obj = None):
if file is not None and obj is None:
self.parse_file(file)
else :
elif file is not None and obj is not None :
self.write(file, obj)
else :
print('Not sure what you\'re trying to do here')
def parse_file (self, file) :
with open(file) as f :

35
py/posterize.py
View File

@ -59,9 +59,40 @@ class Posterize:
def convert_color (self, color, color_space_a, color_space_b) :
pixel = np.zeros([1, 1, 3], dtype=np.uint8)
pixel = cv2.cvtColor(pixel, color_space_a)
if color_space_a == 'RGB' :
pixel = cv2.cvtColor(pixel, cv2.COLOR_BGR2RGB)
elif color_space_a == 'LAB' :
pixel = cv2.cvtColor(pixel, cv2.COLOR_BGR2LAB)
elif color_space_a == 'HSV' :
pixel = cv2.cvtColor(pixel, cv2.COLOR_BGR2HSV)
#default is BGR
pixel[:] = color
cvt = cv2.cvtColor(pixel, color_space_b)
if color_space_a == 'RGB' and color_space_b == 'BGR' :
b = cv2.COLOR_RGB2BGR
elif color_space_a == 'BGR' and color_space_b == 'RGB' :
b = cv2.COLOR_BGR2RGB
elif color_space_a == 'RGB' and color_space_b == 'LAB' :
b = cv2.COLOR_RGB2LAB
elif color_space_a == 'LAB' and color_space_b == 'RGB' :
b = cv2.COLOR_LAB2RGB
elif color_space_a == 'BGR' and color_space_b == 'LAB' :
b = cv2.COLOR_BGR2LAB
elif color_space_a == 'LAB' and color_space_b == 'BGR' :
b = cv2.COLOR_LAB2BGR
elif color_space_a == 'HSV' and color_space_b == 'LAB' :
b = cv2.COLOR_HSV2LAB
elif color_space_a == 'LAB' and color_space_b == 'HSV' :
b = cv2.COLOR_LAB2HSV
elif color_space_a == 'RGB' and color_space_b == 'HSV' :
b = cv2.COLOR_RGB2HSV
elif color_space_a == 'HSV' and color_space_b == 'RGB' :
b = cv2.COLOR_HSV2RGB
elif color_space_a == 'BGR' and color_space_b == 'HSV' :
b = cv2.COLOR_BGRHSV
elif color_space_a == 'HSV' and color_space_b == 'BGR' :
b = cv2.COLOR_HSV2BGR
cvt = cv2.cvtColor(pixel, b)
return cvt[0, 0]
def closest(self, colors, color):