|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
import json |
|
import os |
|
import re |
|
|
|
from datasets import load_dataset |
|
from PIL import Image, ImageDraw, ImageFont |
|
|
|
FONT_PATH = "assets/Aurebesh" |
|
FONT_SIZE = 50 |
|
IMAGE_SIZE = (784, 784) |
|
OUTPUT_DIR = "images" |
|
|
|
font = ImageFont.truetype(FONT_PATH, FONT_SIZE) |
|
|
|
|
|
paul_graham_ds = load_dataset("sgoel9/paul_graham_essays", split="train") |
|
all_words = [] |
|
|
|
for entry in paul_graham_ds: |
|
text = str(entry["text"]) |
|
words = re.findall(r"\b\w+\b", text.lower()) |
|
all_words.extend(words) |
|
|
|
|
|
def generate_aurebesh_image(text, output_dir): |
|
|
|
img = Image.new("RGB", IMAGE_SIZE, color=(255, 255, 255)) |
|
d = ImageDraw.Draw(img) |
|
|
|
|
|
bbox = d.textbbox((0, 0), text, font=font) |
|
|
|
text_width, text_height = bbox[2] - bbox[0], bbox[3] - bbox[1] |
|
position = ((IMAGE_SIZE[0] - text_width) // 2, (IMAGE_SIZE[1] - text_height) // 2) |
|
|
|
|
|
d.text(position, text, font=font, fill=(0, 0, 0)) |
|
|
|
|
|
if not os.path.exists(output_dir): |
|
os.makedirs(output_dir) |
|
img.save(os.path.join(output_dir, f"{text}.png")) |
|
|
|
|
|
captions = [] |
|
for word in all_words: |
|
clean_word = re.sub(r"\W+", "", word) |
|
|
|
generate_aurebesh_image(clean_word, OUTPUT_DIR) |
|
|
|
captions.append({"file_name": f"{clean_word}.png", "text": word}) |
|
|
|
with open(os.path.join(OUTPUT_DIR, "metadata.jsonl"), "w") as f: |
|
for item in captions: |
|
f.write(json.dumps(item) + "\n") |
|
|
|
dataset = load_dataset("imagefolder", data_dir=OUTPUT_DIR, split="all") |
|
dataset.push_to_hub("SauravMaheshkar/aurebesh") |
|
|