color extraction using for loop, tc/ directory

+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
+from itertools import compress
+
+predictor = 'shape_predictor_68_face_landmarks.dat'
+getJson = GetJson()
+C = getJson.get_standard('res/standard.json')
+
+# [spring[skin, eyebrow, eye, mouth], summer[skin, eyebrow, eye, mouth],
+#  fall[skin, eyebrow, eye, mouth], winter[skin, eyebrow, eye, mouth]]
+LLL = [[[],[],[],[]] for _ in range(4)]
+aaa = [[[],[],[],[]] for _ in range(4)]
+bbb = [[[],[],[],[]] for _ in range(4)]
+
+RR = [[[],[],[],[]] for _ in range(4)]
+GG = [[[],[],[],[]] for _ in range(4)]
+BB = [[[],[],[],[]] for _ in range(4)]
+
+
+seasons = ['spring', 'summer', 'fall', 'winter']
+for j in range(4):
+    path = "res/tc/" + seasons[j] + "/"
+    for i in range(25):
+        img = path + str(i+1) + '.jpg'
+        print(img)
+
+        df = DetectFace(predictor, img)
+
+        # Try: Extract mouth part
+        mouth = df.extract_face_part(df.mouth)
+
+        # Try: Extract left eye part
+        l_eye = df.extract_face_part(df.left_eye)
+
+        # Try: Extract left eyebrow part
+        l_eyebrow = df.extract_face_part(df.left_eyebrow)
+
+        # Try : Extract cheek part
+        l_cheek = df.cheek_img[0]
+
+        # Create an DominantColors instance on left cheek image
+        clusters = 5
+        lc_dc = DominantColors(l_cheek, clusters)
+        lc_dc.dominantColors()
+        lc_colors = lc_dc.plotHistogram()
+
+        le_dc = DominantColors(l_eye, clusters)
+        le_dc.dominantColors()
+        le_colors = le_dc.plotHistogram()
+
+        leb_dc = DominantColors(l_eyebrow, clusters)
+        leb_dc.dominantColors()
+        leb_colors = leb_dc.plotHistogram()
+
+        m_dc = DominantColors(mouth, clusters)
+        m_dc.dominantColors()
+        m_colors = m_dc.plotHistogram()
+
+        # skin, hair, eye, mouth 순서
+        fil = [leb_colors[i][2] < 250 and leb_colors[i][0] > 10 for i in range(clusters)]
+        leb_colors = list(compress(leb_colors, fil))
+        fil = [le_colors[i][2] < 250 and le_colors[i][0] > 10 for i in range(clusters)]
+        le_colors = list(compress(le_colors, fil))
+        fil = [m_colors[i][2] < 250 and m_colors[i][0] > 10 for i in range(clusters)]
+        m_colors = list(compress(m_colors, fil))
+
+        cy_rgb = [lc_colors[0:3], leb_colors[0:3], le_colors[0:3], m_colors[0:3]]
+        cy_lab = []
+
+
+        for iii in range(3):
+            for sth in range(4):
+                color = cy_rgb[sth][iii]
+                RR[j][sth].append(color[0])
+                GG[j][sth].append(color[1])
+                BB[j][sth].append(color[2])
+                rgb = sRGBColor(color[0], color[1], color[2], is_upscaled=True)
+                lab = convert_color(rgb, LabColor, through_rgb_type=sRGBColor)
+                cy_lab.append([format(lab.lab_l,".2f"), format(lab.lab_a,".2f"), format(lab.lab_b,".2f")])
+                LLL[j][sth].append(format(lab.lab_l,".2f"))
+                aaa[j][sth].append(format(lab.lab_a,".2f"))
+                bbb[j][sth].append(format(lab.lab_b,".2f"))
+                sth += 1
+
+    bodys = ['left cheek', 'left eyebrow', 'left eye', 'mouth']
+    print(seasons[j])
+    for ii in range(4):
+        print(bodys[ii])
+        print("L : ", LLL[j][ii])
+        print("a : ", aaa[j][ii])
+        print("b : ", bbb[j][ii])
+
+        print("R : ", RR[j][ii])
+        print("G : ", GG[j][ii])
+        print("B : ", BB[j][ii])
+
+    plotRGB = [[[RR[j][ii][iii], GG[j][ii][iii], BB[j][ii][iii]] for iii in range(75)]
+                for ii in range(4)] # ii is cheek, eyebr, eye, mouth
+    print("**************")
+    print(plotRGB[0])
+    print(plotRGB[1])
+    print(plotRGB[2])
+    print(plotRGB[3])
+
+'''
+        tone_analysis = ToneAnalysis()
+
+        print("******************")
+        a = [400, 200, 20] # 가중치
+        spring = 0
+        summer = 1
+        fall = 2
+        winter = 3
+        result_prob = []
+        for season in range(4):
+            result_prob.append(format(tone_analysis.probability(cy_rgb, season, C, a),".2f"))
+        print("결과")
+        print("봄   : ", result_prob[spring], "%")
+        print("여름 : ", result_prob[summer], "%")
+        print("가을 : ", result_prob[fall], "%")
+        print("겨울 : ", result_prob[winter], "%")
+        print("******************")
+'''
+
+
+
+
+'''
+    closer_to_warm = 28 - cy_lab[0][2]
+    print("distance to warm : ", closer_to_warm)
+    closer_to_cool = cy_lab[0][2] - 19
+    print("distance to cool : ", closer_to_cool)
+
+
+    if(closer_to_warm < closer_to_cool):
+        if(result_prob[spring] >= result_prob[fall]):
+            print("봄 웜톤")
+        else:
+            print("가을 웜톤")
+    else:
+        if(result_prob[summer] >= result_prob[winter]):
+            print("여름 쿨톤")
+        else:
+            print("겨울 쿨톤")
+'''