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| import os | |
| import re | |
| import shutil | |
| from config import MODEL_OUTPUT_IMAGE_NAMES | |
| ROOT_DIR = "benchmark_images_generations" | |
| OUTPUT_DIR = "data/" | |
| def main(): | |
| for domain in os.listdir(ROOT_DIR): | |
| domain_dir = os.path.join(ROOT_DIR, domain) | |
| for i, sample_dir in enumerate(os.listdir(domain_dir)): | |
| if sample_dir == ".DS_Store": | |
| continue | |
| sample_dir_path = os.path.join(domain_dir, sample_dir) | |
| prompt = sample_dir[4:].strip() | |
| output_sample_dir = os.path.join(OUTPUT_DIR, domain, f"sample_{i}") | |
| os.makedirs(output_sample_dir, exist_ok=True) | |
| # --- Look for all the images needed to complete the sample --- | |
| # Input background | |
| ## look for an image (either .jpg or .png) whose name is composed as "bg{number}" | |
| ## and copy it to the output directory, then rename it to input_bg.jpg | |
| input_bg = None | |
| for file in os.listdir(sample_dir_path): | |
| if re.match(r"bg\d+\.(jpg|png)", file): | |
| input_bg = file | |
| break | |
| if input_bg: | |
| input_bg_path = os.path.join(sample_dir_path, input_bg) | |
| shutil.copy(input_bg_path, os.path.join(output_sample_dir, "input_bg.jpg")) | |
| else: | |
| print(f"Warning: No input background found in {sample_dir_path}. Skipping sample {i}...") | |
| continue | |
| # Input foreground | |
| ## look for an image (either .jpg or .png) whose name is either composed as "fg_{alphanumeric}.jpg" or "fg_{alphanumeric}.png", | |
| ## or "fg{number}_{alphanumeric}.jpg" or "fg{number}_{alphanumeric}.png", and never contains the word "mask" | |
| ## and copy it to the output directory, then rename it to input_fg.jpg | |
| input_fg = None | |
| for file in os.listdir(sample_dir_path): | |
| if re.match(r"fg(_\w+)?\.(jpg|png)", file) or re.match(r"fg\d+(_\w+)?\.(jpg|png)", file): | |
| if "mask" not in file: | |
| input_fg = file | |
| break | |
| if input_fg: | |
| input_fg_path = os.path.join(sample_dir_path, input_fg) | |
| shutil.copy(input_fg_path, os.path.join(output_sample_dir, "input_fg.jpg")) | |
| else: | |
| print(f"Warning: No input foreground found in {sample_dir_path}. Skipping sample {i}...") | |
| continue | |
| # Outputs | |
| if any([not os.path.exists(os.path.join(sample_dir_path, image_name)) for image_name in MODEL_OUTPUT_IMAGE_NAMES.values()]): | |
| print(f"Warning: Not all output images found in {sample_dir_path}. Skipping sample {i}...") | |
| # Delete the output directory for this sample | |
| shutil.rmtree(output_sample_dir) | |
| continue | |
| for _, image_name in MODEL_OUTPUT_IMAGE_NAMES.items(): | |
| image_path = os.path.join(sample_dir_path, image_name) | |
| target_path = os.path.join(output_sample_dir, image_name) | |
| if os.path.exists(image_path): | |
| shutil.copy(image_path, target_path) | |
| else: | |
| print(f"Warning: {image_name} not found in {sample_dir_path}. Skipping...") | |
| # -- Create the prompt.txt file -- | |
| ## create a file named prompt.txt in the output directory and write the prompt in it | |
| prompt_file_path = os.path.join(output_sample_dir, "prompt.txt") | |
| with open(prompt_file_path, "w") as prompt_file: | |
| prompt_file.write(prompt) | |
| if __name__ == "__main__": | |
| main() |