관련된 나의 포스팅:
얼굴인식 관련 포스팅 - studycodeihl.tistory.com/17?category=803319
딥러닝 관련 포스팅 - https://studycodeihl.tistory.com/10
웹 포트포워딩 관련 포스팅 - studycodeihl.tistory.com/15?category=806109
주요코드
def is_warm(lab, hsv):
#h5 모델 불러오기
model = load_model('warm_cool_.h5')
#warm or cool
Y_prediction = model.predict([[lab[0], lab[1], lab[2],
lab[3], lab[4], lab[5],
lab[6],lab[7], lab[8],
hsv[0], hsv[1], hsv[2],
hsv[3], hsv[4], hsv[5],
hsv[6], hsv[7], hsv[8]]])
return np.argmax(Y_prediction)
def analysis(imgpath):
#Detect face elemet
df = DetectFace(imgpath)
face = [df.left_cheek, df.right_cheek,
df.left_eyebrow, df.right_eyebrow,
df.left_eye, df.right_eye]
#Get dominant Color
temp = []
clusters = 4
for f in face:
dc = DominantColors(f, clusters)
face_part_color, _ = dc.getHistogram()
temp.append(np.array(face_part_color[0]))
cheek = np.mean([temp[0], temp[1]], axis=0)
eyebrow = np.mean([temp[2], temp[3]], axis=0)
eye = np.mean([temp[4], temp[5]], axis=0)
Lab_b, hsv_s = [], []
LabList, HsvList = [], []
color = [cheek, eyebrow, eye]
for i in range(3):
rgb = sRGBColor(color[i][0], color[i][1], color[i][2], is_upscaled=True)
lab = convert_color(rgb, LabColor, through_rgb_type=sRGBColor)
hsv = convert_color(rgb, HSVColor, through_rgb_type=sRGBColor)
LabList.extend([lab.lab_l, lab.lab_a, lab.lab_b])
HsvList.extend([hsv.hsv_h, hsv.hsv_s, hsv.lab_v])
#analysis personalcolor
if(tone_analysis.is_warm(LabList, HsvList)):
if(tone_analysis.is_spr(LabList, HsvList)):
tone = '봄웜톤(spring)'
else:
tone = '가을웜톤(fall)'
else:
if(tone_analysis.is_smr(LabList, HsvList)):
tone = '여름쿨톤(summer)'
else:
tone = '겨울쿨톤(winter)'
# Print Result
print('퍼스널 컬러는 {}입니다.'.format(tone))
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