| |
|
|
| from __future__ import annotations |
|
|
| from datasets import load_dataset |
| from PIL import ImageDraw |
|
|
|
|
| REPO_ID = "Yannik019/llm_pack_detection" |
|
|
|
|
| def draw_first_item_location(row: dict): |
| image = row["image"].copy() |
| first_label = row["labels"][0] |
| x = row["annotation_x"][0] |
| y = row["annotation_y"][0] |
|
|
| draw = ImageDraw.Draw(image) |
| radius = 18 |
| draw.ellipse((x - radius, y - radius, x + radius, y + radius), outline="red", width=6) |
| draw.line((x - 28, y, x + 28, y), fill="red", width=4) |
| draw.line((x, y - 28, x, y + 28), fill="red", width=4) |
| draw.text((x + 24, y - 32), first_label, fill="red") |
|
|
| return image, first_label, x, y |
|
|
|
|
| def summarize_row(row: dict, index: int) -> None: |
| image, first_label, first_x, first_y = draw_first_item_location(row) |
| image_size = getattr(image, "size", None) |
| labels = ", ".join(row["labels"]) |
|
|
| print(f"Row {index}") |
| print(f" caption: {row['caption']}") |
| print(f" bucket: {row['bucket']}") |
| print(f" sample_id: {row['sample_id']}") |
| print(f" annotation_count: {row['annotation_count']}") |
| print(f" labels: {labels}") |
| print(f" first_item: {first_label} @ ({first_x}, {first_y})") |
| print(f" image_type: {type(image).__name__}") |
| print(f" image_size: {image_size}") |
| image.show() |
|
|
|
|
| def main() -> int: |
| dataset = load_dataset(REPO_ID, split="train") |
|
|
| print(dataset) |
| print(f"Loaded {len(dataset)} rows from {REPO_ID}") |
|
|
| limit = min(3, len(dataset)) |
| for index in range(limit): |
| summarize_row(dataset[index], index) |
|
|
| return 0 |
|
|
|
|
| if __name__ == "__main__": |
| raise SystemExit(main()) |
