问题描述
我试图创建一个程序来检测我的面部表情（通过网络摄像头）。
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-47-e0549b59dd89> in <module>()
47 print("\n\n")
48
---> 49 cv2_imshow(frame)
50 if cv2.waitKey(1) & 0xFF == ord('q'):
51 break
/usr/local/lib/python3.6/dist-packages/google/colab/patches/__init__.py in cv2_imshow(a)
20 image.
21 """
---> 22 a = a.clip(0,255).astype('uint8')
23 # cv2 stores colors as BGR; convert to RGB
24 if a.ndim == 3:
AttributeError: 'nonetype' object has no attribute 'clip'
我正在Google Colab上使用Python 3.6。
我正在使用Google补丁中的cv2_imshow()，因为Colab不支持cv2.imshow()
这是我的代码：
from google.colab.patches import cv2_imshow
from keras.models import load_model
from time import sleep
from keras.preprocessing.image import img_to_array
from keras.preprocessing import image
import cv2
import numpy as np
face_classifier = cv2.CascadeClassifier('/content/drive/My Drive/Colab Notebooks/haarcascade_frontalface_default.xml')
classifier = load_model('/content/drive/My Drive/Colab Notebooks/fer_68acc.h5')
class_labels = ['angry','Happy','Neutral','Sad','Surprise']
cap = cv2.VideoCapture(0)
while True:
# Grab a single frame of video
ret,frame = cap.read()
labels = []
gray = cv2.imread(frame,cv2.IMREAD_GRAYSCALE)
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),2)
roi_gray = gray[y:y+h,x:x+w]
roi_gray = cv2.resize(roi_gray,(48,48),interpolation=cv2.INTER_AREA)
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]
print("\nprediction = ",preds)
label=class_labels[preds.argmax()]
print("\nprediction max = ",preds.argmax())
print("\nlabel = ",label)
label_position = (x,y)
cv2.putText(frame,label,label_position,cv2.FONT_HERShey_SIMPLEX,2,(0,255,3)
else:
cv2.putText(frame,'No Face Found',(20,60),3)
print("\n\n")
cv2_imshow(frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
有人可以帮忙吗？ 不幸的是，我无法在本地计算机上运行此程序，因此如果有人提供了可以在Google Colab上运行的解决方案，将会很有帮助。
谢谢
解决方法
以下内容是否为您提供了非零的大小：
print(frame.shape)
如果不是，则表明图像无法正确加载。 Nonetype表示变量frame