Python Deep Learning Projects

Transforming the images

Now let's transform the images and their corresponding joints to the desired form by using the functions we have defined previously. We will do this with the help of the model_data() function, which is defined as follows:

def model_data(image_ids, joints, train = True):    """Function to generate train and test data."""    if train:        # empty list         train_img_joints = []                # create train directory inside FLIC-full        if not os.path.exists(os.path.join(os.getcwd(), 'FLIC-full/train')):            os.mkdir('FLIC-full/train')        for i, (image, joint) in enumerate(zip(image_ids, joints)):            # crop the image using the joint coordinates            image, joint = image_cropping(image, joint)                        # resize the cropped image to shape (224*224*3) image, joint = image_resize(image, ...