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由XAI Lab数据集生成引擎提供。包含5000张汽车座舱用户异常动作、行为，包含不同性别、年龄、服饰等特征，动作包含打电话、吸烟、打瞌睡等。

.gitattributes

@@ -57,3 +57,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+pair_5000_prompts_with_details.xlsx filter=lfs diff=lfs merge=lfs -text

csv_to_json_converter.py

@@ -0,0 +1,136 @@
+import csv
+import json
+import os
+from typing import List, Dict, Any
+
+def csv_to_json(csv_file_path: str, output_json_path: str) -> None:
+    """
+    将CSV格式的数据集转换为JSON格式用于训练
+    
+    Args:
+        csv_file_path: CSV文件路径
+        output_json_path: 输出JSON文件路径
+    """
+    
+    data = []
+    
+    with open(csv_file_path, 'r', encoding='utf-8') as csvfile:
+        reader = csv.DictReader(csvfile)
+        
+        for row in reader:
+            # 构建JSON结构
+            json_item = {
+                "id": row["id"],
+                "prompt_en": row["prompt_en"],
+                "image_path": row["path"],
+                "persons": [
+                    {
+                        "person_id": 1,
+                        "demographics": row["person1_person"],
+                        "clothing": {
+                            "upper_clothing": row["person1_upper_clothing"],
+                            "upper_clothing_color": row["person1_upper_clothing_color"],
+                            "lower_body": row["person1_lower_body"],
+                            "lower_body_color": row["person1_lower_body_color"]
+                        },
+                        "accessory": row["person1_accessory"],
+                        "behavior": row["person1_person_behavior"]
+                    },
+                    {
+                        "person_id": 2,
+                        "demographics": row["person2_person"],
+                        "clothing": {
+                            "upper_clothing": row["person2_upper_clothing"],
+                            "upper_clothing_color": row["person2_upper_clothing_color"],
+                            "lower_body": row["person2_lower_body"],
+                            "lower_body_color": row["person2_lower_body_color"]
+                        },
+                        "accessory": row["person2_accessory"],
+                        "behavior": row["person2_person_behavior"]
+                    }
+                ]
+            }
+            
+            data.append(json_item)
+    
+    # 保存为JSON文件
+    with open(output_json_path, 'w', encoding='utf-8') as jsonfile:
+        json.dump(data, jsonfile, ensure_ascii=False, indent=2)
+    
+    print(f"转换完成！共处理 {len(data)} 条数据")
+    print(f"JSON文件已保存至: {output_json_path}")
+
+def create_training_format(csv_file_path: str, output_json_path: str) -> None:
+    """
+    创建适合机器学习训练的简化JSON格式
+    
+    Args:
+        csv_file_path: CSV文件路径
+        output_json_path: 输出JSON文件路径
+    """
+    
+    training_data = []
+    
+    with open(csv_file_path, 'r', encoding='utf-8') as csvfile:
+        reader = csv.DictReader(csvfile)
+        
+        for row in reader:
+            # 简化的训练格式
+            training_item = {
+                "image_id": row["id"],
+                "text": row["prompt_en"],
+                "image_path": row["path"],
+                "labels": {
+                    "person1": {
+                        "demographics": row["person1_person"],
+                        "upper_clothing": row["person1_upper_clothing"],
+                        "upper_color": row["person1_upper_clothing_color"],
+                        "lower_clothing": row["person1_lower_body"],
+                        "lower_color": row["person1_lower_body_color"],
+                        "accessory": row["person1_accessory"],
+                        "behavior": row["person1_person_behavior"]
+                    },
+                    "person2": {
+                        "demographics": row["person2_person"],
+                        "upper_clothing": row["person2_upper_clothing"],
+                        "upper_color": row["person2_upper_clothing_color"],
+                        "lower_clothing": row["person2_lower_body"],
+                        "lower_color": row["person2_lower_body_color"],
+                        "accessory": row["person2_accessory"],
+                        "behavior": row["person2_person_behavior"]
+                    }
+                }
+            }
+            
+            training_data.append(training_item)
+    
+    # 保存训练格式的JSON
+    with open(output_json_path, 'w', encoding='utf-8') as jsonfile:
+        json.dump(training_data, jsonfile, ensure_ascii=False, indent=2)
+    
+    print(f"训练格式转换完成！共处理 {len(training_data)} 条数据")
+    print(f"训练JSON文件已保存至: {output_json_path}")
+
+def main():
+    # 设置文件路径
+    csv_file = "/Volumes/XAI测试用1号机/Cabin_behavior_dataset/pair_5000_prompts_with_details.csv"
+    
+    # 检查CSV文件是否存在
+    if not os.path.exists(csv_file):
+        print(f"错误：找不到CSV文件 {csv_file}")
+        return
+    
+    # 转换为详细JSON格式
+    detailed_json = "/Volumes/XAI测试用1号机/Cabin_behavior_dataset/dataset_detailed.json"
+    csv_to_json(csv_file, detailed_json)
+    
+    # 转换为训练JSON格式
+    training_json = "/Volumes/XAI测试用1号机/Cabin_behavior_dataset/dataset_training.json"
+    create_training_format(csv_file, training_json)
+    
+    print("\n转换完成！生成了两个JSON文件：")
+    print(f"1. 详细格式: {detailed_json}")
+    print(f"2. 训练格式: {training_json}")
+
+if __name__ == "__main__":
+    main()

demo.csv

@@ -0,0 +1,6 @@
+id,prompt_en,person1_person,person1_upper_clothing,person1_upper_clothing_color,person1_lower_body,person1_lower_body_color,person1_accessory,person1_person_behavior,person2_person,person2_upper_clothing,person2_upper_clothing_color,person2_lower_body,person2_lower_body_color,person2_accessory,person2_person_behavior,path
+img_00001,"Top-down view inside a car cockpit, two people as the main subjects: First person: adult female, wearing a sophisticated gray jacket paired with mature brown shorts, vest accessory, playing on a smartphone; Second person: elderly female, wearing a sophisticated gray hoodie paired with vibrant pink tailored trousers, vest accessory, also playing on a smartphone; clean background, realistic style, high definition, natural lighting",成年-女性,夹克,成熟稳重-灰色,短裤,成熟稳重-棕色,马夹,玩手机,老年-女性,连帽衫,成熟稳重-灰色,西装长裤,光鲜靓丽-粉色,马夹,玩手机,/Cabin_behavior_dataset/img_00001.png
+img_00002,"Top-down view inside a car cabin, two people as the main subjects: First person: adult male, wearing a pure and minimalist white coat, paired with mature and sophisticated gray jeans, accessorized with a vest, sleeping; Second person: adult female, wearing a mature and sophisticated brown shirt, paired with vibrant and stylish green casual pants, accessorized with sunglasses, reading; clean background, realistic style, high definition, natural lighting",成年-男性,大衣,纯净简约-白色,牛仔长裤,成熟稳重-灰色,马夹,睡觉,成年-女性,衬衫,成熟稳重-棕色,休闲长裤,光鲜靓丽-绿色,墨镜,阅读,/Cabin_behavior_dataset/img_00002.png
+img_00003,"A top-down view inside a car cockpit, featuring two people as the main subjects: First person: elderly male, wearing a pure minimalist white sweater paired with vibrant orange denim jeans, no accessories, smoking a cigarette; Second person: adult female, wearing a vibrant red hoodie paired with vibrant red tailored trousers, eyewear accessories, applying makeup; clean background, realistic style, high definition, natural lighting",老年-男性,毛衣,纯净简约-白色,牛仔长裤,光鲜靓丽-橙色,无配饰,吸烟,成年-女性,连帽衫,光鲜靓丽-红色,西装长裤,光鲜靓丽-红色,眼镜,化妆,/Cabin_behavior_dataset/img_00003.png
+img_00004,"Top-down view inside a car cockpit, two people as the main subjects: First person: adult female, wearing a mature and dignified brown T-shirt paired with vibrant green straight-leg jeans, accessorized with a scarf, playing a smartphone; Second person: adult male, wearing a mature and elegant brown coat paired with sophisticated gray casual trousers, wearing a mask, smoking; clean background, realistic style, high definition, natural lighting",成年-女性,T恤,成熟稳重-棕色,牛仔长裤,光鲜靓丽-绿色,围巾,玩手机,成年-男性,大衣,成熟稳重-棕色,休闲长裤,成熟稳重-灰色,口罩,吸烟,/Cabin_behavior_dataset/img_00004.png
+img_00005,"Top-down view inside a car cockpit, two elderly women as main subjects: First person: elderly female, wearing a vibrant pink jacket paired with a sophisticated purple short, no accessories, sleeping peacefully; Second person: elderly female, wearing a bright orange shirt paired with vibrant yellow tailored trousers, with a scarf as accessory, eating; clean background, realistic style, high definition, natural lighting",老年-女性,夹克,光鲜靓丽-粉色,短裤,成熟稳重-紫色,无配饰,睡觉,老年-女性,衬衫,光鲜靓丽-橙色,西装长裤,光鲜靓丽-黄色,围巾,吃东西,/Cabin_behavior_dataset/img_00005.png

pair_5000_prompts_with_details.xlsx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a965d71e78d1e18fc88d6b5008776c927ee6a6bbd4fdb445d349ea101b6ca9cf
+size 662768