test warm cool:

+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
+
+
+predictor = 'shape_predictor_68_face_landmarks.dat'
+seasons = ['spring', 'summer', 'fall', 'winter']
+a = [30, 20, 5]
+tone_analysis = ToneAnalysis()
+for j in range(4):
+    path = "res/tc2/" + seasons[j] + "/"
+    for i in range(6):
+        img = path + str(i+1) + '.jpg'
+        print(img)
+        df = DetectFace(predictor, img)
+        # 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()
+
+        leb_dc = DominantColors(l_eyebrow, clusters)
+        leb_dc.dominantColors()
+        leb_colors = leb_dc.plotHistogram()
+
+        le_dc = DominantColors(l_eye, clusters)
+        le_dc.dominantColors()
+        le_colors = le_dc.plotHistogram()
+
+        cy_rgb = [lc_colors[0], leb_colors[0], le_colors[0]]
+        lab_b = [] #skin, eyebr, eye
+        for color in cy_rgb:
+            rgb = sRGBColor(color[0], color[1], color[2], is_upscaled=True)
+            lab = convert_color(rgb, LabColor, through_rgb_type=sRGBColor)
+            lab_b.append(float(format(lab.lab_b,".2f")))
+
+        print(lab_b)
+        if(tone_analysis.is_warm(lab_b, a)):
+            print("웜톤")
+        else:
+            print("쿨톤")