Segmentation_Random_Augmentation/main.py at main · jgubbens/Segmentation_Random_Augmentation · GitHub

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from sam2_generator import ImageSegmenter
from brightness_modifier import BrightnessModifier
from object_placement import ObjectPlacer
import os

# ARGS - WILL BE GOTTEN FROM CONFIG FILE IN THE FUTURE
source_coords = (0.8, 0.2)
adj_intensity = 0.3
num_generated = 5000
training_path = 'processed_data'
background_image = 'equalized_background.png'

def main():
    # Brightness Calculator
    modifier = BrightnessModifier(source_coords, adj_intensity)
    brightness = modifier.find_brightness((0.8, 0.2), (0.6, 0.6))
    print(brightness)

    # Run SAM2
    model_checkpoint = 'checkpoints/sam2.1_hiera_large.pt'
    model_config = 'configs/sam2.1/sam2.1_hiera_l.yaml'
    segmenter = ImageSegmenter(model_checkpoint, model_config)
    images_folder = os.path.join(training_path, 'images')
    labels_folder = os.path.join(training_path, 'labels')
    #segmenter.process_all_files(images_folder, labels_folder)
    #segmenter.copy_labels_with_full_image_bbox(labels_folder, 'segmented/bbox_labels', images_folder)

    # Run Object Placement
    random_placer = ObjectPlacer(background_image, num_generated, modifier)
    random_placer.generate_augmented_images()

if __name__ == "__main__":
    main()