How can I solve "TypeError: expected str, bytes or os.PathLike object, not list"

Question

I'm trying to do my person detection project from palm print.

There are folders in the form of 001, 002, 003, 004, ......, 091, 092, with 7 training data in each folder. I want to take all the data one by one and train them.

Example file path:

'Dataset/TrainWithROI/001/001-Train1.JPG', 
'Dataset/TrainWithROI/001/001-Train2.JPG', 
'Dataset/TrainWithROI/001/001-Train3.JPG', 
'Dataset/TrainWithROI/001/001-Train4.JPG', 
'Dataset/TrainWithROI/001/001-Train5.JPG', 
'Dataset/TrainWithROI/001/001-Train6.JPG', 
'Dataset/TrainWithROI/001/001-Train7.JPG',

But before I start training the model I get an error like this.

def open_images(path):
    image = load_img(path, color_mode = 'rgb')
    image = np.array(image)/255.0
    return image

def get_labels(paths):

    label = []
    for path in paths:
        path = path.split('/')[-2]
        label.append(labels.index(path))
    return label

def data_gen(data_paths, batch_size=1):
    img=[]
    lab=[]
    for i in range(0, len(data_paths), batch_size):
        paths = data_paths[i:i+batch_size]
        images = open_images(paths)
        img.append(open_images(paths).reshape(224, 224, 3))
        labels = get_labels(paths)
        lab.append(get_labels(paths))
        
        #yield images,np.array(labels)
    return np.array(img) , np.array(lab)

Model:

X_train, y_train = data_gen(train_paths)
X_test, y_test = data_gen(test_paths)

Error:

TypeError: expected str, bytes or os.PathLike object, not list

Answer 1

You are providing a list of paths to the open_images function, but it is not coded to support that. You can modify this function to handle that, try this code:

def open_images(path):
    images = []
    for path in paths:
        image = load_img(path, color_mode = 'rgb')
        image = np.array(image)/255.0
        images.append(image)
    return np.array(images)

Answer 2

You are passing a list of images to your function open_images , but this function is written to only open one image, not a list.
Try this:

def data_gen(data_paths, batch_size=1):
    img=[]
    lab=[]
    for i in range(0, len(data_paths), batch_size):
        paths = data_paths[i:i+batch_size]
        for x in paths:
            images = open_images(x)
            img.append(open_images(x).reshape(224, 224, 3))
            labels = get_labels(x)
            lab.append(get_labels(x))