| import csv |
| import os |
| from PIL import Image |
|
|
| SIZE = (512, 512) |
| MASK_TYPES = ["inpainting", "outpainting", "random"] |
|
|
|
|
| def apply_mask(image1_path, mask_path, size=SIZE): |
| """Return GT image: keep image1 pixels where mask=1 (white), black where mask=0.""" |
| img = Image.open(image1_path).convert("RGB").resize(size) |
| mask = Image.open(mask_path).convert("L").resize(size) |
| black = Image.new("RGB", size, (0, 0, 0)) |
| return Image.composite(img, black, mask) |
|
|
|
|
| def generate_gt_images(csv_file, output_dir): |
| if not os.path.exists(csv_file): |
| print(f"Warning: {csv_file} not found, skipping.") |
| return |
|
|
| with open(csv_file, "r", encoding="utf-8") as f: |
| rows = list(csv.DictReader(f)) |
|
|
| os.makedirs(output_dir, exist_ok=True) |
|
|
| for row in rows: |
| id_val = row["id"].strip() |
| image1_path = row.get("image1_path", "").strip() |
| image2_path = row.get("image2_path", "").strip() |
|
|
| DATA_ROOT = "data" |
| image1_path = os.path.join(DATA_ROOT, image1_path) |
| image2_path = os.path.join(DATA_ROOT, image2_path) |
|
|
| img_path = os.path.join(output_dir, f"id_{id_val}.png") |
|
|
| if image1_path and os.path.exists(image1_path): |
| gt = apply_mask(image1_path, image2_path) |
| gt.save(img_path) |
| else: |
| print(f"Skip id={id_val}: image1_path missing or not found ({image1_path!r})") |
|
|
| print(f"Done: {output_dir}") |
|
|
|
|
| if __name__ == "__main__": |
| for mask_type in MASK_TYPES: |
| generate_gt_images( |
| f"metadata/Task_Image_Mask_{mask_type}_metadata.csv", |
| output_dir=f"data/Task_Image_Mask/{mask_type}" |
| ) |
|
|
