i have been getting the error
PS D:\CV2> & C:/Users/RM/AppData/Local/Microsoft/WindowsApps/python3.12.exe d:/CV2/mmake.pyTraceback (most recent call last):File "d:\CV2\mmake.py", line 32, in <module>train_data = cv2.ml.TrainData_create(images_array, cv2.ml.ROW_SAMPLE, responses)^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^cv2.error: OpenCV(4.9.0) D:\a\opencv-python\opencv-python\opencv\modules\ml\src\data.cpp:257: error: (-215:Assertion failed) samples.type() == CV_32F || samples.type() == CV_32S in function 'cv::ml::TrainDataImpl::setData'
from the code
#======================================#
# #
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# if you get this software #
# make it better #
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#======================================#
# Import the necessary libraries
import cv2
import numpy as np
import os
# Define the path to the folder containing enrolled faces
folder_path = "enrolled"
# Initialize lists to store images
images = []
# Iterate through the files in the folder
for filename in os.listdir(folder_path):
if filename.endswith(".jpg") or filename.endswith(".png"):
image_path = os.path.join(folder_path, filename)
image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE) # Read image in grayscale
if image is not None:
# Preprocess the image (resize, normalize)
preprocessed_image = cv2.resize(image, (224, 224))
preprocessed_image = preprocessed_image / 255.0
images.append(preprocessed_image)
# Create an OpenCV model (you can choose a different model type if needed)
model = cv2.ml.SVM_create()
# Convert images to the appropriate data type (32-bit floating-point)
images_array = np.array(images, dtype=np.float32)
# Prepare the training data with labels
responses = np.array([0, 1, 0, 1]) # Example labels, replace with actual labels
train_data = cv2.ml.TrainData_create(images_array, cv2.ml.ROW_SAMPLE, responses)
# Train the model
model.train(train_data)
