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import os
from PIL import Image
import numpy as np
import cv2
import pickle
 
pickle
Base_Dir = os.path.dirname(os.path.abspath("__file__"))
image_dir = os.path.join(Base_Dir, "Images")
face_cascade = cv2.CascadeClassifier('Cascades/haarcascade_frontalface_default.xml')
recoganiser = cv2.face.LBPHFaceRecognizer_create()
 
cv2.face.LBPHFaceRecognizer_create()
current_ID = 0
label_IDS = {}
y_lebels = []
x_train = []
 
[]
for root, dirs, files in os.walk(image_dir):
 
os.walk(image_dir):
for file in files:
  if(file.endswith("png") or file.endswith("jpg") or file.endswith("JPG")):
 path = os.path.join(root, file)
 label = os.path.basename(os.path.dirname(path)).replace(" ","_").lower()
 # print(label)
 # print(path)
  if not label in label_IDS:
 label_IDS[label]= current_ID
 current_ID+=1
 id_ = label_IDS[label]
  x_train.append(path) #Verify the image and convert into gray and numpy array
 y_lebels.append(label) # some number for our labels
 pil_image = Image.open(path).convert('L')
 size = (600,600)
  final_image = pil_image.resize(size, Image.ANTIALIAS)
 image_array = np.array(pil_image, 'uint8')
  faces = face_cascade.detectMultiScale(image_array, 2, 7)
  for(x, y, w, h) in faces:
 roi = image_array[y:y+h, x:x+w]
 x_train.append(roi)
 y_lebels.append(id_)
 
with open("lebels.pickle", "wb") as f:
 
f:
pickle.dump(label_IDS, f)

recoganiser.train(x_train, np.array(y_lebels))
recoganiser.save("trainer.yml")
 
recoganiser.train(x_train, np.array(y_lebels))
recoganiser.save("trainer.yml") 
And this is my error , what to do ?
 
TypeError Traceback (most recent call last)
<ipython-input-12-34c1b618384f> in <module>
52 pickle.dump(label_IDS, f)
53
---> 54 recoganiser.train(x_train, np.array(y_lebels))
55 recoganiser.save("trainer.yml")
 
recoganiser.save("trainer.yml")
TypeError: Expected Ptr<cv::umat> Ptr<cv::UMat> for argument 'src''src'