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from scripts.api_utils import ImageAugmentation | |
from PIL import Image | |
def augment_image(image_path, target_width, target_height, roi_scale, segmentation_model_name, detection_model_name): | |
""" | |
Augment an image by extending its dimensions and generating masks. | |
Args: | |
image_path (str): Path to the image file. | |
target_width (int): Target width for augmentation. | |
target_height (int): Target height for augmentation. | |
roi_scale (float): Scale factor for region of interest. | |
segmentation_model_name (str): Name of the segmentation model. | |
detection_model_name (str): Name of the detection model. | |
Returns: | |
Tuple[Image.Image, Image.Image]: Augmented image and inverted mask. | |
""" | |
image = Image.open(image_path) | |
image_augmentation = ImageAugmentation(target_width, target_height, roi_scale) | |
image = image_augmentation.extend_image(image) | |
mask = image_augmentation.generate_mask_from_bbox(image, segmentation_model_name, detection_model_name) | |
inverted_mask = image_augmentation.invert_mask(mask) | |
return image, inverted_mask |