| import csv |
| import os |
|
|
| IMAGE_EXTENSIONS = {".png", ".jpg", ".jpeg", ".webp", ".bmp"} |
| RAW_IMAGE_DIR = "data/Task_Image_Mask_raw_image" |
| MASK_TYPES = ["inpainting", "outpainting", "random"] |
|
|
|
|
| def scan_image_pairs(mask_type): |
| """Return sorted list of (image_path, mask_path, image_id) for a given mask type.""" |
| images_dir = os.path.join(RAW_IMAGE_DIR, "images") |
| mask_dir = os.path.join(RAW_IMAGE_DIR, f"{mask_type}_mask") |
| if not os.path.exists(images_dir): |
| return [] |
| pairs = [] |
| for fname in sorted(os.listdir(images_dir)): |
| if os.path.splitext(fname)[1].lower() not in IMAGE_EXTENSIONS: |
| continue |
| image_id = os.path.splitext(fname)[0] |
| image_path = os.path.join(images_dir, fname) |
| mask_path = os.path.join(mask_dir, f"{image_id}.png") |
| if not os.path.exists(mask_path): |
| print(f"Warning: mask not found for {fname} ({mask_type}), skipping.") |
| continue |
| |
| DATA_ROOT = "data" |
| rel_image_path = os.path.relpath(image_path, DATA_ROOT) |
| rel_mask_path = os.path.relpath(mask_path, DATA_ROOT) |
| |
| pairs.append((rel_image_path, rel_mask_path, image_id)) |
| |
| return pairs |
|
|
|
|
| def generate_metadata(prompt_file, mask_type, output_file): |
| with open(prompt_file, "r", encoding="utf-8") as f: |
| prompts = list(csv.DictReader(f)) |
|
|
| pairs = scan_image_pairs(mask_type) |
| if not pairs: |
| print(f"Warning: no image-mask pairs found for {mask_type}, skipping.") |
| return |
|
|
| rows = [] |
| id_counter = 1 |
| for image1_path, image2_path, image_id in pairs: |
| for prompt in prompts: |
| rows.append({ |
| "id": id_counter, |
| "prompt": prompt["prompt"], |
| "mask_type": mask_type, |
| "task": 4, |
| "image_id": image_id, |
| "image1_path": image1_path, |
| "image2_path": image2_path, |
| }) |
| id_counter += 1 |
|
|
| output_dir = os.path.dirname(output_file) |
| if output_dir and not os.path.exists(output_dir): |
| os.makedirs(output_dir, exist_ok=True) |
|
|
| with open(output_file, "w", newline="", encoding="utf-8") as f: |
| writer = csv.DictWriter(f, fieldnames=["id", "prompt", "mask_type", "task", "image_id", "image1_path", "image2_path"]) |
| writer.writeheader() |
| writer.writerows(rows) |
|
|
| print(f"Generation complete: {output_file} ({len(rows)} rows)") |
|
|
|
|
|
|
|
|
| if __name__ == "__main__": |
| for mask_type in MASK_TYPES: |
| generate_metadata( |
| "raw_config/Task_Image_Mask.csv", |
| mask_type, |
| f"metadata/Task_Image_Mask_{mask_type}_metadata.csv" |
| ) |
