我使用keras来加载存储在h5文件中的模型,但是得到了这个错误,我试图搜索周围,但没有得到任何结果。
请帮帮忙。
face_classifier = cv2.CascadeClassifier(cv2.data.haarcascades +'haarcascade_frontalface_alt.xml')
classifier = load_model('facial_expression.h5')
class_labels = ['Angry', 'Disgust', 'Fear', 'Happy', 'Neutral', 'Sad', 'Surprise']
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
labels = []
gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
faces = face_classifier.detectMultiScale(gray,1.3,5)
for (x,y,w,h) in faces:
cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
roi_gray = gray[y:y+h,x:x+w]
roi_gray = cv2.resize(roi_gray,(48,48),interpolation=cv2.INTER_AREA)
# rect,face,image = face_detector(frame)
if np.sum([roi_gray])!=0:
roi = roi_gray.astype('float')/255.0
roi = img_to_array(roi)
roi = np.expand_dims(roi,axis=0)
# make a prediction on the ROI, then lookup the class
preds = classifier.predict(roi)[0]
label=class_labels[preds.argmax()]
label_position = (x,y)
cv2.putText(frame,label,label_position,cv2.FONT_HERSHEY_SIMPLEX,2,(0,255,0),3)
else:
cv2.putText(frame,'No Face Found',(20,60),cv2.FONT_HERSHEY_SIMPLEX,2,(0,255,0),3)
cv2.imshow('Emotion Detector',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()这样的错误:
文件"C:\Users\ADMIN\anaconda3\envs\myenv\lib\site-packages\keras\utils\generic_utils.py",第147行,在deserialize_keras_object列表(custom_objects.items())中)
文件"C:\Users\ADMIN\anaconda3\envs\myenv\lib\site-packages\keras\engine\sequential.py",第301行,在from_config custom_objects=custom_objects中)
文件"C:\Users\ADMIN\anaconda3\envs\myenv\lib\site-packages\keras\layers_init_.py",第168行,反序列化printable_module_name='layer')
文件"C:\Users\ADMIN\anaconda3\envs\myenv\lib\site-packages\keras\utils\generic_utils.py",第149行,在deserialize_keras_object中返回cls.from_config(config'config')
文件"C:\Users\ADMIN\anaconda3\envs\myenv\lib\site-packages\keras\engine\base_layer.py",第1179行,在from_config返回cls(**config)
文件"C:\Users\ADMIN\anaconda3\envs\myenv\lib\site-packages\keras\legacy\interfaces.py",第91行,在包装返回函数中(*args,**kwargs)
TypeError:init()得到了一个意想不到的关键字参数“ragged”
发布于 2021-09-17 15:59:14
与其从keras导入load_model,不如从tf.keras导入它
from tf.keras.models import load_model
classifier = load_model('facial_expression.h5')https://stackoverflow.com/questions/63427411
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