File size: 1,650 Bytes
d2b92b6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | #!/usr/bin/env python3
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()) |