Linguistic_Prior / scripts /1_render_images.py
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# 做pilot study的时候用的渲染代码
from PIL import Image, ImageDraw, ImageFont
import textwrap
import json, os
def read_jsonl(file_path):
"""
读取 JSONL 文件并返回解析后的数据列表。
:param file_path: JSONL 文件的路径
:return: 包含所有 JSON 对象的列表
"""
data = []
with open(file_path, 'r', encoding='utf-8') as f:
for line in f:
data.append(json.loads(line.strip()))
return data
# ========================
# 参数配置
# ========================
# 数据路径
json_path = "/vol/zhaoy/ds-ocr/data/CCI3-Data/CCI3_100-5k_sample100_interval500_per10/test.jsonl"
data = read_jsonl(json_path)
# 输出目录
output_root = "/vol/zhaoy/ds-ocr/data/CCI3-Data/CCI3_100-5k_sample100_interval500_per10"
# 三个版本及对应字段
versions = {
"normal": "content",
"shuffled": "shuffled_content",
"tiny_shuffled": "tiny_shuffled_content",
}
# 字体路径与大小
font_path = "/usr/share/fonts/truetype/wqy/wqy-zenhei.ttc"
font_size = 64
font = ImageFont.truetype(font_path, font_size)
# 每行最大字符数
max_chars_per_line = 40 # 中文
# max_chars_per_line = 100 # 英文
# ========================
# 主流程
# ========================
for version_name, field in versions.items():
# 创建输出文件夹
image_root = os.path.join(output_root, version_name, "images")
os.makedirs(image_root, exist_ok=True)
print(f"\n🖋 正在生成 {version_name} 版本的图片到 {image_root} ...")
for item in data:
text = item.get(field, "")
if not text:
print(f"⚠️ 跳过 {item['id']}:字段 {field} 为空。")
continue
# 自动换行
wrapped_text = textwrap.fill(text, width=max_chars_per_line)
# 计算文本尺寸
dummy_img = Image.new("RGB", (10, 10))
draw = ImageDraw.Draw(dummy_img)
bbox = draw.multiline_textbbox((0, 0), wrapped_text, font=font, spacing=10)
text_w, text_h = bbox[2] - bbox[0], bbox[3] - bbox[1]
# 加 padding
padding = 50
img_w, img_h = text_w + 2 * padding, text_h + 2 * padding
# 创建并绘制图片
img = Image.new("RGB", (img_w, img_h), (255, 255, 255))
draw = ImageDraw.Draw(img)
draw.multiline_text(
(padding, padding),
wrapped_text,
font=font,
fill=(0, 0, 0),
spacing=10,
)
# 保存图片
image_path = os.path.join(image_root, f"{item['id']}.png")
img.save(image_path)
print(f"✅ {version_name} - 已生成 {item['id']} ({img_w}x{img_h})")
print("\n🎨 所有版本图片生成完毕!")