[Python] "!empty() in function 'cv::CascadeClassifier::detectMultiScale'"

Discussão em 'Python' iniciado por Stack, Julho 9, 2025.

  1. Stack

    Stack Membro Participativo

    I am trying to work on a Face Recognition system in Python OpenCV but I keep getting the following error


    "!empty() in function 'cv::CascadeClassifier::detectMultiScale'"
    ​

    This is the code that I'm using:

    import cv2
    import os
    import numpy as np
    from PIL import Image
    import pickle

    BASE_DIR = os.path.dirname(os.path.abspath(__file__))
    image_dir = os.path.join(BASE_DIR, "foto")

    face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt2.xml')
    recognizer = cv2.face.LBPHFaceRecognizer_create()

    current_id = 0
    label_ids = {}
    y_labels = []
    x_train = []

    for root, dirs, files in os.walk(image_dir):
    for file in files:
    if file.endswith("png") or file.endswith("jpg"):
    path = os.path.join(root, file)
    label = os.path.basename(root).replace(" ", "-").lower()
    #print(label, path)
    if not label in label_ids:
    label_ids[label] = current_id
    current_id += 1
    id_ = label_ids[label]
    #print(label_ids)
    #y_labels.append(label) # some number
    #x_train.append(path) # verify this image, turn into a NUMPY
    arrray, GRAY
    pil_image = Image.open(path).convert("L") # grayscale
    size = (550, 550)
    final_image = pil_image.resize(size, Image.ANTIALIAS)
    image_array = np.array(final_image, "uint8")
    #print(image_array)
    faces = face_cascade.detectMultiScale(image_array, scaleFactor=1.5, minNeighbors=5)

    for (x,y,w,h) in faces:
    roi = image_array[y:y+h, x:x+w]
    x_train.append(roi)
    y_labels.append(id_)


    #print(y_labels)
    #print(x_train)

    with open("pickles/face-labels.pickle", 'wb') as f:
    pickle.dump(label_ids, f)

    recognizer.train(x_train, np.array(y_labels))
    recognizer.save("recognizers/face-trainner.yml")


    What am I doing wrong?

    Continue reading...

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