ToneAnalysis Class and GetJson Class Usage guide

 import cv2
 from detect_face import DetectFace
 from dominant_colors import DominantColors
+from tone_analysis import ToneAnalysis
+from getjson import GetJson
+import imutils
+from colormath.color_objects import LabColor, sRGBColor
+from colormath.color_conversions import convert_color
 
+# 이성경(res/lees.jpg) dominant colors by order of histogram
+# skin, hair, eye 순서
+lsk_rgb = [[222.5, 201.4, 188.9], [138.6, 98.4, 55.0], [159.8, 115.8, 61.7]]
+lsk_lab = []
+for color in lsk_rgb:
+    rgb = sRGBColor(color[0], color[1], color[2], is_upscaled=True)
+    lab = convert_color(rgb, LabColor, through_rgb_type=sRGBColor)
+    lsk_lab.append([lab.lab_l, lab.lab_a, lab.lab_b])
+
+getJson = GetJson()
+C = getJson.get_standard('res/standard.json')
+
+tone_analysis = ToneAnalysis()
+
+print("******************")
+a = [30, 20, 10] # 가중치
+spring = 0
+summer = 1
+fall = 2
+winter = 3
+print("이성경")
+print("봄   : ", format(tone_analysis.probability(lsk_lab, spring, C, a),".2f"), "%")
+print("여름 : ", format(tone_analysis.probability(lsk_lab, summer, C, a),".2f"), "%")
+print("가을 : ", format(tone_analysis.probability(lsk_lab, fall, C, a),".2f"), "%")
+print("겨울 : ", format(tone_analysis.probability(lsk_lab, winter, C, a),".2f"), "%")
+print("******************")
+'''
 # Set paths
-image = "res/fall_0_0.png"
+image = "res/lees.jpg"
 predictor = "shape_predictor_68_face_landmarks.dat"
 
 # Create an DetectFace instance
@@ -42,3 +74,14 @@ dc_re = DominantColors(r_eye, clusters)
 colors = dc_re.dominantColors()
 print(colors)
 dc_re.plotHistogram()
+
+# hair
+hair_img = "res/lees_hair.jpg"
+img = cv2.imread(hair_img)
+resized_img = imutils.resize(img, width = 100)
+clusters = 6
+dc_re = DominantColors(resized_img, clusters)
+colors = dc_re.dominantColors()
+print(colors)
+dc_re.plotHistogram()
+'''