Revision history [back]

recognizer = cv2.face.LBPHFaceRecognizer_create(); path="dataset"

 def getImagesWithID(path):
    imagePaths=[os.path.join(path,f) for f in os.listdir(path)]
    faces=[]
    IDs=[]
    for imagePath in imagePaths:
        faceImg=Image.open(imagePath).convert('L');
        faceNp=np.array(faceImg,'uint8')
        ID=int(os.path.split(imagePath)[-1].split('.')[1])
        faces.append(faceNp)
        IDs.append(ID)
        cv2.imshow("training",faceNp)
        cv2.waitKey(10)
    return np.array(IDs), faces

Ids, faces = getImagesWithID(path) recognizer.train(faces, Ids) recognizer.save('recognizer/trainningData.yml')

hope this will help

recognizer = cv2.face.LBPHFaceRecognizer_create(); path="dataset"

 
def getImagesWithID(path):
    imagePaths=[os.path.join(path,f) for f in os.listdir(path)]
    faces=[]
    IDs=[]
    for imagePath in imagePaths:
        faceImg=Image.open(imagePath).convert('L');
        faceNp=np.array(faceImg,'uint8')
        ID=int(os.path.split(imagePath)[-1].split('.')[1])
        faces.append(faceNp)
        IDs.append(ID)
        cv2.imshow("training",faceNp)
        cv2.waitKey(10)
    return np.array(IDs), facesfaces
  Ids, faces = getImagesWithID(path)
recognizer.train(faces, Ids)
recognizer.save('recognizer/trainningData.yml')
 hope this will help

          3    No.3 Revision 
      updated 
        2018-06-10 04:56:26 -0600
     
    berak 
 32993  ●7 ●81 ●312  
 
 
 
  
 
 
 
  recognizer = cv2.face.LBPHFaceRecognizer_create();
    path="dataset"hope this will help:
 recognizer = cv2.face.LBPHFaceRecognizer_create();
path="dataset"

def getImagesWithID(path):
    imagePaths=[os.path.join(path,f) for f in os.listdir(path)]
    faces=[]
    IDs=[]
    for imagePath in imagePaths:
        faceImg=Image.open(imagePath).convert('L');
        faceNp=np.array(faceImg,'uint8')
        ID=int(os.path.split(imagePath)[-1].split('.')[1])
        faces.append(faceNp)
        IDs.append(ID)
        cv2.imshow("training",faceNp)
        cv2.waitKey(10)
    return np.array(IDs), faces

Ids, faces = getImagesWithID(path)
recognizer.train(faces, Ids)
recognizer.save('recognizer/trainningData.yml')
  hope this will help