add .gitignore in the alldata directory

trainer/all_data/split_dataset.py

@@ -0,0 +1,47 @@
+
+import os
+import shutil
+import csv
+
+def split_dataset(labels_path, img_source_dir, train_dir='train', valid_dir='valid'):
+    # 创建目标文件夹
+    os.makedirs(train_dir, exist_ok=True)
+    os.makedirs(valid_dir, exist_ok=True)
+    
+    # 初始化CSV写入器
+    train_csv = open(os.path.join(train_dir, 'labels.csv'), 'w', newline='')
+    valid_csv = open(os.path.join(valid_dir, 'labels.csv'), 'w', newline='')
+    train_writer = csv.writer(train_csv)
+    valid_writer = csv.writer(valid_csv)
+    
+    with open(labels_path, 'r') as f:
+        lines = f.readlines()
+    
+    for i, line in enumerate(lines):
+        parts = line.strip().split(',')
+        img_name = parts[0].strip()
+
+
+        label = parts[1] if len(parts) > 1 else ''
+        src_path = os.path.join(img_source_dir, img_name)
+        print(f"处理图片: {img_name}, 标签: {label}")
+        if i < 700:  # 训练集
+            dst_path = os.path.join(train_dir, img_name)
+            train_writer.writerow([img_name, label])
+        else:        # 验证集
+            dst_path = os.path.join(valid_dir, img_name)
+            valid_writer.writerow([img_name, label])
+        
+        if os.path.exists(src_path):
+            shutil.copy2(src_path, dst_path)
+        else:
+            print(f"警告：源图片不存在 {src_path}")
+    
+    train_csv.close()
+    valid_csv.close()
+
+# 使用示例
+split_dataset(
+    labels_path='en_sample/labels.csv',
+    img_source_dir='en_sample'
+)