cv2.error: opencv(4.5.3) :-1: error: (-5:error argument) in function 'resize'


import numpy as np
import cv2
import pickle
########### PARAMETERS ##############
width = 640
height = 480
threshold = 0.65 # MINIMUM PROBABILITY TO CLASSIFY
cameraNo = 1
#####################################
#### CREATE CAMERA OBJECT
cap = cv2.VideoCapture(cameraNo)
cap.set(3,width)
cap.set(4,height)
#### LOAD THE TRAINNED MODEL
pickle_in = open("model_trained.p","rb")
model = pickle.load(pickle_in)
print(cv2.__version__)
#### PREPORCESSING FUNCTION
def preProcessing(img):
img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
img = cv2.equalizeHist(img)
img = img/255
return img
while True:
success, imgOriginal = cap.read()
img = np.asarray(imgOriginal)
img = cv2.resize(img,(32,32))   <------ ERROR HERE
img = preProcessing(img)
cv2.imshow("Processsed Image",img)
img = img.reshape(1,32,32,1)
#### PREDICT
classIndex = int(model.predict_classes(img))
#print(classIndex)
predictions = model.predict(img)
#print(predictions)
probVal= np.amax(predictions)
print(classIndex,probVal)
if probVal> threshold:
cv2.putText(imgOriginal,str(classIndex) + "   "+str(probVal),
(50,50),cv2.FONT_HERSHEY_COMPLEX,
1,(0,0,255),1)
cv2.imshow("Original Image",imgOriginal)
if cv2.waitKey(1) & 0xFF == ord('q'):
break

错误:

文件"E:/DATA_SCIENCE/MY_WORK/test.py";,第32行,在中

img=cv2.resize(img,(32,32((cv2.error:OpenCV(4.5.3(:-1:error:(-5:错误参数(在函数'resize'中过载解决失败:

  • 不支持src数据类型=17
  • 预期Ptr<cv::UMat>对于参数"src">
[/div>

您应该释放您的"cap";下面代码的末尾,out of while循环。

if probVal> threshold:
cv2.putText(imgOriginal,str(classIndex) + "   "+str(probVal),
(50,50),cv2.FONT_HERSHEY_COMPLEX,
1,(0,0,255),1)
cv2.imshow("Original Image",imgOriginal)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()

将cameraNo设置为0。这通常是因为你的笔记本电脑或电脑默认网络摄像头的摄像头编号为0。

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