def cv_Identifyfaces(identifyfaces, picture=None):
''' 運用 cv2 技術顯示的 Identifyfaces '''
import cv2
import numpy as np
# print('identifyfaces=',identifyfaces)
if len(identifyfaces) == 0:
cv_ImageText('沒有偵測到任何人！', '請按「ENTER」繼續')
return
for identifyface in identifyfaces:
faceimagepath = ClassUtils.getFaceImagepath(identifyface['faceId'])
if 'person' not in identifyface:
print('identifyface=', identifyface)
cv_ImageText('你哪位？請先訓練。', '按 ENTER 繼續', faceimagepath, picture,
identifyfaces)
else:
text = ClassUtils.textConfidence(identifyface['person']['name'],
identifyface['confidence'])
try:
print(text, identifyface['confidence'])
except UnicodeEncodeError as e:
print("UnicodeEncodeERROR!!", identifyface['confidence'])
#print('cv_Identifyfaces.identifyface=', identifyface)
# text = ClassUtils.textConfidence(identifyface['person']['name'],
# identifyface['confidence'])
cv_ImageText(text, '按 ENTER 繼續', faceimagepath, picture,
identifyfaces)
def cv_Identifyfaces(identifyfaces, picture=None):
''' 運用 cv2 技術顯示的 Identifyfaces '''
import cv2
import numpy as np
# print('identifyfaces=',identifyfaces)
if len(identifyfaces) == 0:
cv_ImageText('No Faces Detected', 'Press [ENTER] to continue ')
return
for identifyface in identifyfaces:
faceimagepath = ClassUtils.getFaceImagepath(identifyface['faceId'])
if 'person' not in identifyface:
print('identifyface=', identifyface)
cv_ImageText('Who is it?? Please train first!',
'Press [ENTER] to continue ', faceimagepath, picture,
identifyfaces)
else:
text = ClassUtils.textConfidence(identifyface['person']['name'],
identifyface['confidence'])
try:
print(text, identifyface['confidence'])
except UnicodeEncodeError as e:
print("UnicodeEncodeERROR!!", identifyface['confidence'])
#print('cv_Identifyfaces.identifyface=', identifyface)
# text = ClassUtils.textConfidence(identifyface['person']['name'],
# identifyface['confidence'])
cv_ImageText(text, '[ENTER] to continue ', faceimagepath, picture,
identifyfaces)
def __detectFaces_Save(self, detectFaces, imagepath):
for detectface in detectFaces:
print("faceRectangle = ", detectface['faceRectangle'])
print("faceId = ", detectface['faceId'])
left = detectface['faceRectangle']['left']
top = detectface['faceRectangle']['top']
height = detectface['faceRectangle']['height']
width = detectface['faceRectangle']['width']
img = Image.open(imagepath)
draw = ImageDraw.Draw(img)
if config['landmark'] > 0:
print("save facelandmarks=", detectface['faceLandmarks'])
for faceLandmark in detectface['faceLandmarks']:
print('faceLandmark=', faceLandmark)
print('faceLandmark=',
detectface['faceLandmarks'][faceLandmark])
x = int(detectface['faceLandmarks'][faceLandmark]['x'])
y = int(detectface['faceLandmarks'][faceLandmark]['y'])
draw.ellipse(
(x, y, x + config['landmark'], y + config['landmark']),
fill=(255, 0, 0))
#faceRectangle = {'top': 141, 'height': 261, 'width': 261, 'left': 664}
faceonly = img.crop((left, top, left + width, top + height))
saveFaceImagepath = ClassUtils.getFaceImagepath(
detectface['faceId'])
faceonly.save(saveFaceImagepath, 'PNG')
