Update README.md

README.md

@@ -1,26 +1,79 @@
----
-license: mit
-dataset_info:
-  features:
-  - name: image
-    dtype:
-      array3_d:
-        shape:
-        - 512
-        - 512
-        - 3
-        dtype: uint8
-  - name: filename
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 34195458528
-    num_examples: 18614
-  download_size: 6667979906
-  dataset_size: 34195458528
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+---
+license: mit
+dataset_info:
+  features:
+  - name: image
+    dtype:
+      array3_d:
+        shape:
+        - 512
+        - 512
+        - 3
+        dtype: uint8
+  - name: filename
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 34195458528
+    num_examples: 18614
+  download_size: 6667979906
+  dataset_size: 34195458528
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+---
+```
+from datasets import load_dataset
+from PIL import Image
+import numpy as np
+import os
+from tqdm import tqdm
+
+# 加载数据集
+dataset_path = "path_to/style_fonts_img"
+dataset = load_dataset(dataset_path)
+
+# 创建保存目录
+save_dir = os.path.join(dataset_path, "extracted_images")
+os.makedirs(save_dir, exist_ok=True)
+
+# 获取数据集大小
+total_samples = len(dataset['train'])
+print(f"数据集共有 {total_samples} 个样本")
+
+# 使用tqdm创建进度条
+for i, example in tqdm(enumerate(dataset['train']), total=total_samples, desc="处理图像"):
+    try:
+        # 获取图像数据
+        image_array = example['image']
+        
+        # 转换为PIL图像
+        image = Image.fromarray(np.uint8(image_array))
+        
+        # 获取文件名
+        filename = example['filename'] 
+        
+        # 保存图像
+        image_path = os.path.join(save_dir, filename)
+        image.save(image_path)
+        
+        # 保存文本
+        if 'text' in example and example['text']:
+            text_filename = os.path.splitext(filename)[0] + '.txt'
+            text_path = os.path.join(text_dir, text_filename)
+            with open(text_path, 'w', encoding='utf-8') as f:
+                f.write(example['text'])
+        
+        # print(f"已保存 {filename}")
+        
+        # 只处理前10个样本（可选）
+        if i >= 9:
+            break
+            
+    except Exception as e:
+        print(f"处理样本 {i} 时出错: {e}")
+
+print("处理完成！")
+```