# hertz_studio_django_ai_aichatmessage

role: assistant
created_at: 2025-10-10 06:50:02.685452
content:
  <think>
  好，用户让我介绍Python的特点。首先我要回忆一下我学过的知识，Python是一个编程语言，对吧？它在多个领域都有用处。

  然后，我想先从它的整体架构说起，像一个模块化和动态主义这样的特点。模块化可以让代码更容易管理，动态主义可能意味着它本身也是可更新的，这可能让语言变得越来越灵活。

  接下来是语法结构，特别是三重判断式，这让我想到简洁明了的表达方式。函数和循环也是它的强项，尤其是递归的效率高。

  然后我开始想，数据结构方面，Python有丰富的库，比如numpy、pandas这些，处理各种数据很有能力。列表、字典都是基本的数据结构，还有集合和元组，这些都是基础中的重要部分。

  图形化界面也是一个特点，像Matplotlib这样的工具包，让我觉得它有很多绘图功能，这对于数据分析很重要。

  文档和技术社区方面，官方文档非常详尽，而开源项目如PyPI和GitHub也帮助了很多开发者。支持多种编程语言的特性，比如多态性和跨平台性，让代码更容易扩展。

  最后是应用领域，Python在Web开发、机器学习、数据分析等方面表现突出。它的灵活性让它被广泛使用，无论是小企业还是大公司都有可能选择它作为主要编程语言。

  总的来说，我需要把这些特点组织成一个有条理的介绍，并且尽量详细地描述每个部分，让用户对Python有一个全面的理解。
  </think>

   Python 是一种高度模块化的、动态主义的语言，具有以下显著的特点：

  ### 1. **模块化与可扩展性**
     - Python 的结构是模块化的，也就是通过导入库和函数来实现模块化。这意味着代码可以被分段定义和执行，维护起来相对容易。
     - 这种特性使得它能够更好地组织和管理复杂的项目。

  ### 2. **动态主义**
     - 动态主义意味着 Python 可以自动处理语法错误，这简化了编写代码的过程。
     - 然而，这种灵活性也有其局限性，因为没有固定的输入输出格式（通常称为“语法”）。

  ### 3. **简洁的语法**
     - Python 的语法紧凑，使用三重判断式来表达条件语句。例如：
       ```python
       if x > y:
           print("x是更大的数")
       ```
     - 这种简洁性使得代码更容易读取和维护。

  ### 4. **强大的功能与库**
     - Python 提供了丰富的内置数据结构，如列表、元组、集合、字典等。
     - 基于这些数据结构的库（如 NumPy、Pandas、Matplotlib）提供了大量的功能，方便的数据分析和可视化。

  ### 5. **强大的循环与递归能力**
     - Python 支持无限循环（`for` 循环和 `while` 循环）。
     - 通过递归实现复杂问题的求解。

  ### 6. **丰富的函数库**
     - 基于标准 library 的函数，如 `math`、`collections` 等提供大量通用的数学和统计功能。
     - 这些函数可以减少代码重复使用的时间。

  ### 7. **强大的字符操作**
     - Python 支持大量的字符操作，包括字符串拼接、索引访问和切片等。

  ### 8. **灵活的数据结构**
     - 列表是 Python 的主要数据结构之一。列表支持动态增长和修改。
     - 字典是一种键值对的映射数据结构，支持快速查找。

  ### 9. **强大的图形化界面**
     - Python 提供多种绘图库，如 Matplotlib 和 Seaborn，用于创建高质量的图表。
     - 这些工具使数据分析变得更加直观和有效。

  ### 10. **文档和技术社区**
     - Python 的官方文档非常详尽，提供了详细的参考信息和示例。
     - 开源项目（如 PyPI、GitHub）帮助开发者获取支持和服务。

  ### 11. **多态性与跨平台性**
     - Python 具有高度的多态性，支持多种语言功能和接口。
     - 它支持多模态化，意味着代码可以在不同平台上运行，并且可以轻松扩展到新的模块或库。

  ### 12. **广泛的应用领域**
     - Python 在科学计算、Web开发、机器学习、数据可视化等领域具有极高的应用价值。
     - 它的灵活性使得它适合各种不同的项目需求。

  总的来说，Python 的特点在于其灵活性、易用性和强大的功能。这些特性使其成为编程语言中的顶峰之一，并被广泛用于多种领域和用途。


role: assistant
created_at: 2025-10-10 08:50:03.365630
content:
  <think>

  </think>

  Python 是一个面向对象的流行编程语言，以其简洁和灵活的特点而闻名。它结合了功能式编程元素，允许你用更自然的方式编写代码，同时支持多态性，使不同类型的变量和函数之间可以相互转换。

  ### 核心特点：
  1. **简洁易读**：Python 的语法简单，读起来容易，同时代码也易于理解。
  2. **动态类型**：你可以自由指定变量的类型，但不会有固定的类型系统（比如 C 语言）。
  3. **多态性**：例如 `+` 运算符可以对整数和字符串执行不同的操作。
  4. **动态编译**：Python 通过模块化结构实现动态编译，使其运行速度快。

  ### 使用场景：
  - **开发**：用于快速搭建应用程序，比如 Flask 或 Django。
  - **科学计算**：用于数学建模和数据分析。
  - **数据处理**：利用 Pandas 和 NumPy 库进行高效的数据处理。
  - **可视化**：使用 Matplotlib 和 Seaborn 生成图表。

  ### 示例：
  ```python
  # 使用函数式编程
  def add(a, b):
      return a + b

  print(add(2, 3))  # 输出: 5
  ```

  ### 总结：
  Python 是一个强大的语言，适合需要快速开发和数据处理的场景。


role: assistant
created_at: 2025-10-20 03:23:03.849670
content:
  It seems like you might be referring to "Nii," which is a character from the popular anime and manga series *K-On*. Nii is known for her cheerful and friendly personality. If you meant "Niihao," it could be a less common term or a misspelling of something else, such as a username, character name, or a specific concept in another context.

  If you have more details or clarify your question, I can provide a more accurate response!


role: assistant
created_at: 2025-11-05 10:16:28.604605
content:
  看起来你可能是在思考如何使用 Python 程序生成或处理“11”这个数字或其他相关概念。不过，我需要先确认你的具体需求是什么。

  如果你是想了解如何在Python中进行数学运算、字符串操作或者其他与数字相关的操作，请告诉我更详细的内容，我会为你提供详细的解释和示例。


role: assistant
created_at: 2025-11-05 10:16:47.634441
content:
  看来你是在思考如何使用 Python 进行一些基本的数学运算。不过，我发现您可能有些混淆了。实际上，在 Python 中，1+1 是一个简单的算术运算，并不会涉及到“数字”（如数字本身）的概念，而是作为一个整数进行加法运算。

  然而，如果您在想了解 Python 中的一些基本语法或操作，请告诉我你具体想要了解的内容，我会尽力为你提供详细的解释和示例。


role: assistant
created_at: 2025-11-05 10:17:10.376106
content:
  看起来你可能是在思考如何使用 Python 进行数学运算或编写简单的代码。不过，1+1的结果是 2，这是基本的算术运算结果。如果你有其他具体的问题，可以进一步说明，我会尽力为你提供详细的解释和示例。

  你希望了解关于 **Python** 的其他概念吗？


role: assistant
created_at: 2025-11-05 10:17:24.617598
content:
  “你是什么模型”这个问题需要更详细的上下文来准确回答。

  如果“你”指的是我正在讨论的 Python 语言模型，那么可以进一步说明：

  在深度学习和自然语言处理（NLP）中，“模型”通常指用于理解和生成文本的数据流。Python 可以用于构建简单的文本分类器或情感分析工具，但这些称为“模型”的是指编程框架或工具，而不是指像我这样专注于 Python 语言本身的模型。

  如果你指的是我在讨论的 Python 语言中的某个模型，那么需要更多上下文来明确。

  总之，“你是什么模型”这一问题无法准确回答，因为它涉及到不同的领域和使用的术语。


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\u9002\u7528\u4e8e\u5b9e\u65f6\u8f66\u8f86\u68c0\u6d4b\uff1a\n\n\u8f93\u5165\u89c6\u9891\u6d41\uff08\u884c\u8f66\u8bb0\u5f55\u4eea/\u4ea4\u901a\u76d1\u63a7\uff09\n\n\u8f93\u51fa\u76ee\u6807\u6846\uff08\u8f66\u8f86\u3001\u884c\u4eba\u3001\u6469\u6258\u8f66\u7b49\uff09\n\n\u4f18\u52bf\uff1a\n\n\u9ad8\u901f\uff1a\u53ef\u8fbe 60+ FPS\n\n\u7cbe\u51c6\uff1a\u5728 COCO/VOC \u4e0a\u8868\u73b0\u4f18\u5f02\n\n\u6613\u90e8\u7f72\uff1a\u652f\u6301 ONNX / TensorRT / OpenVINO\n\n\u4e09\u3001YOLO \u8f66\u8f86\u68c0\u6d4b\u5b9e\u73b0\u6d41\u7a0b\n\n\u6570\u636e\u51c6\u5907\n\n\u6570\u636e\u96c6\uff1aKITTI\u3001UA-DETRAC\u3001COCO Vehicle\u3001BDD100K \u7b49\u3002\n\n\u6807\u6ce8\u683c\u5f0f\uff1aYOLO txt \u683c\u5f0f\n\n<class_id> <x_center> <y_center> <width> <height>\n\n\n\u5efa\u8bae\u6837\u672c\u91cf\uff1a\u22655000 \u5f20\u56fe\u50cf\uff0c\u542b\u4e0d\u540c\u5149\u7167\u3001\u89d2\u5ea6\u3001\u5929\u6c14\u573a\u666f\u3002\n\n\u6a21\u578b\u8bad\u7ec3\n\n\u4f7f\u7528\u547d\u4ee4\uff1a\n\nyolo detect train data=vehicle.yaml model=yolov8m.pt epochs=100 imgsz=640\n\n\nvehicle.yaml \u4e2d\u5305\u542b\uff1a\n\ntrain: ./datasets/train/images\nval: ./datasets/val/images\nnc: 3\nnames: ['car', 'bus', 'truck']\n\n\n\u63a8\u7406\u4e0e\u90e8\u7f72\n\n\u547d\u4ee4\u884c\u68c0\u6d4b\uff1a\n\nyolo detect predict model=best.pt source=video.mp4\n\n\n\u652f\u6301\u5bfc\u51fa\uff1a\n\nyolo export model=best.pt format=onnx\n\n\u56db\u3001\u8f66\u8f86\u884c\u9a76\u884c\u4e3a\u5206\u6790\n\n\u591a\u76ee\u6807\u8ddf\u8e2a\n\n\u5e38\u7528\u7b97\u6cd5\uff1aDeepSORT\u3001ByteTrack\n\n\u5b9e\u73b0\u529f\u80fd\uff1a\n\n\u8f66\u8f86 ID \u6301\u7eed\u8ffd\u8e2a\n\n\u8f68\u8ff9\u7ed8\u5236\n\n\u884c\u9a76\u8def\u5f84\u7edf\u8ba1\u4e0e\u5f02\u5e38\u68c0\u6d4b\n\n\u884c\u4e3a\u68c0\u6d4b\n\n\u5f02\u5e38\u884c\u4e3a\uff1a\n\n\u9006\u884c\u68c0\u6d4b\n\n\u8d85\u901f\u68c0\u6d4b\n\n\u8fdd\u505c\u68c0\u6d4b\n\n\u5b9e\u73b0\u65b9\u5f0f\uff1a\n\n\u5229\u7528 YOLO \u68c0\u6d4b\u8f66\u8f86\u4f4d\u7f6e\n\n\u7ed3\u5408\u5750\u6807\u53d8\u5316\u5206\u6790\u901f\u5ea6\u65b9\u5411\n\n\u57fa\u4e8e\u89c4\u5219\u5224\u65ad\u5f02\u5e38\u72b6\u6001\n\n\u4e94\u3001\u6a21\u578b\u4f18\u5316\u4e0e\u52a0\u901f\n\n\u8f7b\u91cf\u5316\n\n\u6a21\u578b\u526a\u679d\uff08Pruning\uff09\n\n\u91cf\u5316\uff08Quantization\uff09\n\n\u77e5\u8bc6\u84b8\u998f\uff08Knowledge Distillation\uff09\n\n\u63a8\u7406\u52a0\u901f\n\nTensorRT\n\nOpenVINO\n\nONNXRuntime\n\nGPU/Jetson/Edge TPU \u652f\u6301\n\n\u516d\u3001\u5e38\u89c1\u5e94\u7528\u573a\u666f\n\u573a\u666f\t\u5e94\u7528\u8bf4\u660e\n\u667a\u80fd\u4ea4\u901a\u76d1\u63a7\t\u5b9e\u65f6\u8bc6\u522b\u8f66\u8f86\u7c7b\u578b\u3001\u8f66\u6d41\u91cf\u3001\u5f02\u5e38\u884c\u4e3a\n\u81ea\u52a8\u9a7e\u9a76\t\u611f\u77e5\u6a21\u5757\u68c0\u6d4b\u524d\u65b9\u8f66\u8f86\u3001\u884c\u4eba\u3001\u969c\u788d\u7269\n\u505c\u8f66\u7ba1\u7406\t\u68c0\u6d4b\u8f66\u4f4d\u5360\u7528\u4e0e\u8f66\u724c\u8bc6\u522b\n\u5de5\u4e1a\u56ed\u533a\u7ba1\u7406\t\u68c0\u6d4b\u8f66\u8f86\u8fdb\u51fa\u3001\u5f02\u5e38\u505c\u7559\n\u65e0\u4eba\u673a\u5de1\u68c0\t\u9ad8\u7a7a\u76d1\u63a7\u8f66\u8f86\u8fd0\u884c\u72b6\u6001\u4e0e\u5bc6\u5ea6\n\u4e03\u3001\u53c2\u8003\u8d44\u6e90\n\n\u6570\u636e\u96c6\uff1a\n\nKITTI Vision Benchmark\n\nUA-DETRAC Dataset\n\nBDD100K Dataset\n\n\u6846\u67b6\uff1a\n\nUltralytics YOLOv8", "category": 2, "status": "published", "tags": "\u8f66\u8f86", "sort_order": 0}


action_type: CREATE
module: 知识文章管理
description: 创建知识文章
ip_address: 192.168.124.37
created_at: 2025-10-30 02:46:06.139574
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"title": "\u9053\u8def\u7834\u635f\u68c0\u6d4b\u6a21\u578b\u77e5\u8bc6\u5e93", "content": "\ud83d\udee3\ufe0f \u9053\u8def\u7834\u635f\u68c0\u6d4b\u6a21\u578b\u77e5\u8bc6\u5e93\n\u4e00\u3001\u9879\u76ee\u7b80\u4ecb\n\n\u9053\u8def\u7834\u635f\u68c0\u6d4b\u6a21\u578b\u7528\u4e8e\u8bc6\u522b\u548c\u5b9a\u4f4d\u9053\u8def\u8868\u9762\u88c2\u7f1d\u3001\u5751\u6d1e\u3001\u5265\u843d\u3001\u6c89\u9677\u7b49\u7f3a\u9677\uff0c\u63d0\u5347\u9053\u8def\u517b\u62a4\u4e0e\u57ce\u5e02\u7ba1\u7406\u7684\u667a\u80fd\u5316\u6c34\u5e73\u3002\u8be5\u4efb\u52a1\u901a\u5e38\u5c5e\u4e8e \u76ee\u6807\u68c0\u6d4b + \u8bed\u4e49\u5206\u5272 \u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e94\u7528\u9886\u57df\u3002\n\n\u4e8c\u3001\u68c0\u6d4b\u76ee\u6807\u7c7b\u578b\n\u7c7b\u578b\t\u63cf\u8ff0\n\u88c2\u7f1d\uff08Crack\uff09\t\u5e38\u89c1\u7684\u7ebf\u72b6\u7834\u635f\uff0c\u6cbf\u884c\u8f66\u65b9\u5411\u6216\u6a2a\u5411\u5206\u5e03\n\u5751\u6d1e\uff08Pothole\uff09\t\u8def\u9762\u584c\u9677\u533a\u57df\uff0c\u5f62\u72b6\u4e0d\u89c4\u5219\n\u5265\u843d\uff08Raveling\uff09\t\u6ca5\u9752\u8868\u5c42\u8131\u843d\u5f62\u6210\u7684\u7c97\u7cd9\u8868\u9762\n\u6c89\u9677\uff08Depression\uff09\t\u5c40\u90e8\u4e0b\u9677\u7684\u5e73\u6ed1\u7834\u635f\u533a\u57df\n\u4fee\u8865\u75d5\u8ff9\uff08Patch\uff09\t\u5df2\u7ecf\u4fee\u590d\u4f46\u9700\u4e8c\u6b21\u68c0\u6d4b\u7684\u533a\u57df\n\u4e09\u3001\u7b97\u6cd5\u4e0e\u6a21\u578b\u67b6\u6784\n\nYOLO \u7cfb\u5217\u68c0\u6d4b\u6a21\u578b\n\n\u53ef\u76f4\u63a5\u8bc6\u522b\u88c2\u7f1d\u4e0e\u5751\u6d1e\u76ee\u6807\u3002\n\n\u63a8\u8350\u4f7f\u7528\uff1a\n\nYOLOv8s/m\uff1a\u901f\u5ea6\u5feb\u3001\u90e8\u7f72\u65b9\u4fbf\u3002\n\nYOLOv9-c\uff1a\u7cbe\u5ea6\u9ad8\u3001\u7279\u5f81\u63d0\u53d6\u80fd\u529b\u5f3a\u3002\n\n\u6a21\u578b\u8bad\u7ec3\u6307\u4ee4\uff1a\n\nyolo detect train data=road_damage.yaml model=yolov8m.pt epochs=200 imgsz=640\n\n\nMask R-CNN\uff08\u8bed\u4e49\u5206\u5272\uff09\n\n\u7528\u4e8e\u66f4\u7cbe\u786e\u5730\u63d0\u53d6\u88c2\u7f1d\u5f62\u72b6\u4e0e\u9762\u79ef\u3002\n\n\u9002\u5408\u79d1\u7814\u4e0e\u57ce\u5e02\u7ba1\u7406\u7cbe\u7ec6\u5316\u573a\u666f\u3002\n\nDeepLabv3+\n\n\u53ef\u8fdb\u884c\u9053\u8def\u5168\u666f\u5206\u5272\uff0c\u68c0\u6d4b\u4e0d\u540c\u7834\u635f\u7c7b\u578b\u7684\u8bed\u4e49\u533a\u57df\u3002\n\n\u8f7b\u91cf\u5316\u6a21\u578b\uff08\u79fb\u52a8\u7aef/\u65e0\u4eba\u673a\uff09\n\nMobileNet-YOLOv8-Nano\n\nEfficientDet-Lite\n\n\u9002\u5408\u90e8\u7f72\u5230 Jetson Nano / Raspberry Pi / \u79fb\u52a8\u7aef\u8bbe\u5907\u3002\n\n\u56db\u3001\u6570\u636e\u96c6\u4e0e\u6807\u6ce8\n1\ufe0f\u20e3 \u516c\u5171\u6570\u636e\u96c6\n\u6570\u636e\u96c6\t\u7279\u70b9\nRDD2022 (Road Damage Dataset)\t\u5168\u7403\u591a\u56fd\u62cd\u6444\uff0c\u5305\u542b\u88c2\u7f1d\u3001\u5751\u6d1e\u7b49 30,000+ \u5f20\u56fe\u50cf\nCFD (Crack Forest Dataset)\t\u4e13\u6ce8\u4e8e\u88c2\u7f1d\u8bc6\u522b\nGAPS Dataset\t\u9ad8\u5206\u8fa8\u7387\u9053\u8def\u76d1\u63a7\u5f71\u50cf\nDeepCrack Dataset\t\u63d0\u4f9b\u88c2\u7f1d\u50cf\u7d20\u7ea7\u6807\u6ce8\uff0c\u9002\u7528\u4e8e\u5206\u5272\u4efb\u52a1\n2\ufe0f\u20e3 \u6570\u636e\u6807\u6ce8\u683c\u5f0f\uff08YOLO\uff09\n<class_id> <x_center> <y_center> <width> <height>\n\n\n\u4f8b\u5982\uff1a\n\n0 0.45 0.52 0.21 0.09  # pothole\n1 0.62 0.48 0.19 0.07  # crack\n\n\u4e94\u3001\u6a21\u578b\u8bad\u7ec3\u6d41\u7a0b\n\n\u51c6\u5907\u6570\u636e\n\n\u56fe\u7247\u5c3a\u5bf8\u5efa\u8bae\uff1a640\u00d7640 \u6216 1024\u00d71024\u3002\n\n\u6570\u636e\u589e\u5f3a\uff08Data Augmentation\uff09\uff1a\n\n\u968f\u673a\u7ffb\u8f6c\u3001\u65cb\u8f6c\u3001\u4eae\u5ea6\u8c03\u6574\u3001\u968f\u673a\u88c1\u526a\u3002\n\n\u53ef\u589e\u5f3a\u6a21\u578b\u9c81\u68d2\u6027\u3002\n\n\u8bad\u7ec3\u53c2\u6570\u793a\u4f8b\n\nyolo detect train data=road_damage.yaml model=yolov8m.pt epochs=100 batch=16 imgsz=640\n\n\n\u9a8c\u8bc1\u4e0e\u6d4b\u8bd5\n\nyolo detect val model=best.pt data=road_damage.yaml\n\n\n\u63a8\u7406\u9884\u6d4b\n\nyolo detect predict model=best.pt source=test_videos/\n\n\u516d\u3001\u6a21\u578b\u4f18\u5316\u4e0e\u90e8\u7f72\n\n\u4f18\u5316\u7b56\u7565\n\n\u6a21\u578b\u526a\u679d\uff08Pruning\uff09\u51cf\u5c11\u5197\u4f59\u5c42\u3002\n\n\u91cf\u5316\uff08Quantization\uff09\u964d\u4f4e\u6a21\u578b\u4f53\u79ef\u3002\n\n\u77e5\u8bc6\u84b8\u998f\uff08Distillation\uff09\u63d0\u5347\u8f7b\u91cf\u6a21\u578b\u7cbe\u5ea6\u3002\n\n\u90e8\u7f72\u65b9\u6848\n\n\u8fb9\u7f18\u8bbe\u5907\uff1aJetson Nano\u3001TX2\u3001Xavier\n\n\u4e91\u7aef\u90e8\u7f72\uff1aFlask / FastAPI + ONNXRuntime\n\n\u5b9e\u65f6\u89c6\u9891\u68c0\u6d4b\uff1a\n\nyolo detect predict model=best.onnx source=0\n\n\u4e03\u3001\u6027\u80fd\u6307\u6807\n\u6307\u6807\t\u8bf4\u660e\nmAP@0.5\t\u5e73\u5747\u7cbe\u5ea6\uff0c\u8861\u91cf\u68c0\u6d4b\u6548\u679c\nFPS\t\u6bcf\u79d2\u5e27\u6570\uff0c\u53cd\u6620\u5b9e\u65f6\u6027\nIoU\uff08\u4ea4\u5e76\u6bd4\uff09\t\u9884\u6d4b\u6846\u4e0e\u771f\u5b9e\u6846\u91cd\u53e0\u5ea6\nPrecision / Recall\t\u7cbe\u786e\u7387\u4e0e\u53ec\u56de\u7387\u6743\u8861\n\n\u5178\u578b\u6027\u80fd\uff08YOLOv8m\uff09\uff1a\n\nmAP@0.5 \u2248 0.86\n\nFPS \u2248 45\uff08RTX 3060\uff09\n\n\u6a21\u578b\u5927\u5c0f \u2248 30MB\n\n\u516b\u3001\u5178\u578b\u5e94\u7528\u573a\u666f\n\u573a\u666f\t\u5e94\u7528\u8bf4\u660e\n\u57ce\u5e02\u9053\u8def\u5de1\u68c0\t\u65e0\u4eba\u8f66\u6216\u65e0\u4eba\u673a\u642d\u8f7d\u6444\u50cf\u5934\u5b9e\u65f6\u8bc6\u522b\u8def\u9762\u7834\u635f\n\u9ad8\u901f\u516c\u8def\u76d1\u63a7\t\u81ea\u52a8\u68c0\u6d4b\u5751\u6d1e\u4e0e\u88c2\u7f1d\u4ee5\u89e6\u53d1\u7ef4\u4fee\u8b66\u62a5\n\u5de5\u7a0b\u9a8c\u6536\t\u68c0\u6d4b\u65b0\u94fa\u8def\u9762\u8d28\u91cf\u4e0e\u7f3a\u9677\n\u667a\u6167\u4ea4\u901a\u5e73\u53f0\t\u4e0e GIS \u7cfb\u7edf\u7ed3\u5408\u751f\u6210\u201c\u9053\u8def\u5065\u5eb7\u5730\u56fe\u201d\n\u79fb\u52a8\u7aef\u68c0\u6d4b\t\u624b\u673a\u62cd\u7167\u8bc6\u522b\u9053\u8def\u7834\u635f\u7c7b\u578b\u4e0e\u4e25\u91cd\u7a0b\u5ea6\n\u4e5d\u3001\u53ef\u6269\u5c55\u65b9\u5411\n\n\u7ed3\u5408\u6df1\u5ea6\u4f30\u8ba1\uff08Depth Estimation\uff09 \u2192 \u5224\u65ad\u5751\u6d1e\u6df1\u5ea6\n\n\u591a\u5149\u8c31\u878d\u5408\uff08RGB+IR\uff09 \u2192 \u63d0\u9ad8\u591c\u95f4\u8bc6\u522b\u7cbe\u5ea6\n\n\u65f6\u5e8f\u68c0\u6d4b\uff08Video Detection\uff09 \u2192 \u8ddf\u8e2a\u7834\u635f\u53d8\u5316\u8d8b\u52bf\n\n\u9053\u8def\u8bc4\u5206\u7cfb\u7edf \u2192 \u7efc\u5408\u7834\u635f\u6570\u91cf\u4e0e\u9762\u79ef\u751f\u6210\u201c\u8def\u51b5\u8bc4\u5206\u201d\n\n\ud83d\udd17 \u5341\u3001\u53c2\u8003\u8d44\u6e90\n\nRDD2022 Dataset (IEEE Big Data Cup)\n\nYOLOv8 \u5b98\u65b9\u6587\u6863\n\nDeepLabv3+ \u8bba\u6587\n\nMask R-CNN \u8bba\u6587\n\nTensorRT \u90e8\u7f72\u6307\u5357", "category": 3, "status": "published", "tags": "\u9053\u8def", "sort_order": 0}


action_type: CREATE
module: 用户管理
description: 创建用户
ip_address: 192.168.124.37
created_at: 2025-10-31 03:14:57.983109
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"username": "4444", "email": "123@163.com", "phone": "", "real_name": "", "avatar": "", "gender": 1, "birthday": "", "department_id": 0, "status": 1, "password": "***"}


action_type: CREATE
module: 用户管理
description: 创建用户
ip_address: 192.168.124.37
created_at: 2025-10-31 03:15:09.535442
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"username": "4444", "email": "123@163.com", "phone": "17865984854", "real_name": "lll", "avatar": "", "gender": 1, "birthday": "", "department_id": 0, "status": 1, "password": "***"}


action_type: CREATE
module: 用户管理
description: 创建用户
ip_address: 192.168.124.37
created_at: 2025-10-31 03:15:13.997413
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"username": "4444", "email": "123@163.com", "phone": "17865984854", "real_name": "lll", "avatar": "", "gender": 1, "birthday": "", "department_id": 1, "status": 1, "password": "***"}


action_type: CREATE
module: 用户管理
description: 创建用户
ip_address: 192.168.124.37
created_at: 2025-10-31 03:15:25.960604
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"username": "4444", "email": "123@163.com", "phone": "17865984854", "real_name": "lll", "avatar": "", "gender": 1, "birthday": "2025-10-22", "department_id": 1, "status": 1, "password": "***"}


action_type: CREATE
module: 用户管理
description: 创建用户
ip_address: 192.168.124.37
created_at: 2025-10-31 03:15:38.573821
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"username": "4444", "email": "1234@163.com", "phone": "17865984854", "real_name": "lll", "avatar": "", "gender": 1, "birthday": "2025-10-22", "department_id": 1, "status": 1, "password": "***"}


action_type: CREATE
module: 部门管理
description: 创建部门
ip_address: 192.168.124.37
created_at: 2025-10-31 03:16:30.373162
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"parent_id": 0, "dept_name": "\u90e8\u95e81", "dept_code": "111", "leader": "", "phone": "", "email": "", "status": 1, "sort_order": 1}


action_type: CREATE
module: 部门管理
description: 创建部门
ip_address: 192.168.124.37
created_at: 2025-10-31 03:16:43.967572
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"parent_id": 0, "dept_name": "\u90e8\u95e81", "dept_code": "111", "leader": "111", "phone": "13166666668", "email": "123@163.com", "status": 1, "sort_order": 1}


action_type: CREATE
module: 部门管理
description: 创建部门
ip_address: 192.168.124.37
created_at: 2025-10-31 03:17:08.359219
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"parent_id": 4, "dept_name": "\u90e8\u95e81", "dept_code": "111", "leader": "111", "phone": "13166666668", "email": "123@163.com", "status": 1, "sort_order": 1}


action_type: CREATE
module: 部门管理
description: 创建部门
ip_address: 192.168.124.37
created_at: 2025-10-31 03:17:27.102753
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"parent_id": 21, "dept_name": "111", "dept_code": "212", "leader": "", "phone": "", "email": "", "status": 1, "sort_order": 1}


action_type: UPDATE
module: 角色管理
description: 更新角色
ip_address: 192.168.124.37
created_at: 2025-10-31 03:18:22.741359
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"role_name": "\u6d4b\u8bd5\u89d2\u8272", "description": "\u6d4b\u8bd5\u7528\u89d2\u8272", "status": 0}


action_type: CREATE
module: 用户管理
description: 创建用户
ip_address: 192.168.124.37
created_at: 2025-10-31 03:20:58.625055
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"username": "555", "email": "123456@163.com", "phone": "17865984841", "real_name": "2222", "avatar": "", "gender": 1, "birthday": "2025-10-22", "department_id": 0, "status": 1, "password": "***"}


action_type: CREATE
module: 用户管理
description: 创建用户
ip_address: 192.168.124.37
created_at: 2025-10-31 03:21:06.181421
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"username": "555", "email": "123456@163.com", "phone": "17865984841", "real_name": "2222", "avatar": "", "gender": 1, "birthday": "2025-10-22", "department_id": 1, "status": 1, "password": "***"}


action_type: UPDATE
module: 用户管理
description: 更新用户信息
ip_address: 192.168.124.37
created_at: 2025-10-31 03:22:44.789162
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"user_id": 14, "username": "333", "email": "l235698963@163.com", "phone": "17865984858", "real_name": "\u5bb9\u5b37\u5b371", "avatar": null, "gender": 0, "department_id": null, "status": 1, "last_login_time": "2025-10-31T03:21:32.630535Z", "last_login_ip": "192.168.124.37", "created_at": "2025-10-10T08:41:43.955508Z", "updated_at": "2025-10-10T08:41:43.956505Z", "roles": []}


action_type: CREATE
module: 用户管理
description: 创建用户
ip_address: 192.168.124.37
created_at: 2025-10-31 03:23:15.853804
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"username": "666", "email": "1234567@qq.com", "phone": "13166666645", "real_name": "wer", "avatar": "", "gender": 1, "birthday": "2025-10-15", "department_id": 1, "status": 1, "password": "***"}


action_type: CREATE
module: 部门管理
description: 创建部门
ip_address: 192.168.124.37
created_at: 2025-10-31 03:23:42.624419
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"parent_id": 4, "dept_name": "222", "dept_code": "111456", "leader": "", "phone": "", "email": "", "status": 1, "sort_order": 2}


action_type: view
module: 系统监测
description: 获取系统监测综合信息
ip_address: 192.168.124.15
request_data: {}
created_at: 2025-10-31 06:25:51.085901
user_agent:
  Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/141.0.0.0 Mobile Safari/537.36 Edg/141.0.0.0


action_type: CREATE
module: 知识文章管理
description: 创建知识文章
ip_address: 192.168.124.15
created_at: 2025-10-31 08:15:11.952691
user_agent:
[cell repeats an earlier one in this file: 125 characters]

request_data:
  {"title": "hello", "content": "ok \u8db3\u7403\u8bc6\u522b", "category": 5, "status": "draft", "sort_order": 0}


action_type: CREATE
module: 知识文章管理
description: 创建知识文章
ip_address: 192.168.124.15
created_at: 2025-10-31 08:21:50.392551
user_agent:
[cell repeats an earlier one in this file: 125 characters]

request_data:
  {"title": "yolo\u68c0\u6d4b\u8db3\u7403", "content": "\u57fa\u4e8e\u8ba1\u7b97\u673a\u89c6\u89c9\u7684\u8db3\u7403\u76ee\u6807\u68c0\u6d4b\u7cfb\u7edf\uff1a\u8be5\u7cfb\u7edf\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\uff0c\u5982 YOLOv10\u3001YOLOv8 \u7b49\uff0c\u80fd\u591f\u5b9e\u65f6\u8bc6\u522b\u5e76\u5206\u7c7b\u8db3\u7403\u6bd4\u8d5b\u4e2d\u7684\u5173\u952e\u76ee\u6807\uff0c\u5305\u62ec\u8db3\u7403\u3001\u7403\u5458\u3001\u5b88\u95e8\u5458\u548c\u88c1\u5224\u3002\u5b83\u5177\u6709\u56fe\u7247\u68c0\u6d4b\u3001\u89c6\u9891\u68c0\u6d4b\u548c\u6444\u50cf\u5934\u5b9e\u65f6\u68c0\u6d4b\u7b49\u529f\u80fd\uff0c\u53ef\u5e7f\u6cdb\u5e94\u7528\u4e8e\u8db3\u7403\u6bd4\u8d5b\u5206\u6790\u3001\u667a\u80fd\u88c1\u5224\u8f85\u52a9\u3001\u81ea\u52a8\u5316\u8d5b\u4e8b\u76f4\u64ad\u3001\u4f53\u80b2\u8bad\u7ec3\u6570\u636e\u5206\u6790\u7b49\u9886\u57df\u3002\u4f8b\u5982\uff0c\u5728\u667a\u80fd\u88c1\u5224\u8f85\u52a9\u4e2d\uff0c\u53ef\u8f85\u52a9\u88c1\u5224\u5224\u65ad\u8d8a\u4f4d\u3001\u72af\u89c4\u7b49\u5173\u952e\u4e8b\u4ef6\uff1b\u5728\u81ea\u52a8\u5316\u8d5b\u4e8b\u76f4\u64ad\u4e2d\uff0c\u53ef\u81ea\u52a8\u8ffd\u8e2a\u7403\u5458\u548c\u8db3\u7403\uff0c\u4f18\u5316\u76f4\u64ad\u89c6\u89d2\u3002", "category": 5, "status": "draft", "sort_order": 0}


action_type: CREATE
module: 知识文章管理
description: 创建知识文章
ip_address: 192.168.124.15
created_at: 2025-10-31 08:25:19.075886
user_agent:
[cell repeats an earlier one in this file: 125 characters]

request_data:
  {"title": "\u8db3\u7403\u68c0\u6d4b", "content": "\u57fa\u4e8e\u8ba1\u7b97\u673a\u89c6\u89c9\u7684\u8db3\u7403\u76ee\u6807\u68c0\u6d4b\u7cfb\u7edf\uff1a\u8be5\u7cfb\u7edf\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\uff0c\u5982 YOLOv10\u3001YOLOv8 \u7b49\uff0c\u80fd\u591f\u5b9e\u65f6\u8bc6\u522b\u5e76\u5206\u7c7b\u8db3\u7403\u6bd4\u8d5b\u4e2d\u7684\u5173\u952e\u76ee\u6807\uff0c\u5305\u62ec\u8db3\u7403\u3001\u7403\u5458\u3001\u5b88\u95e8\u5458\u548c\u88c1\u5224\u3002\u5b83\u5177\u6709\u56fe\u7247\u68c0\u6d4b\u3001\u89c6\u9891\u68c0\u6d4b\u548c\u6444\u50cf\u5934\u5b9e\u65f6\u68c0\u6d4b\u7b49\u529f\u80fd\uff0c\u53ef\u5e7f\u6cdb\u5e94\u7528\u4e8e\u8db3\u7403\u6bd4\u8d5b\u5206\u6790\u3001\u667a\u80fd\u88c1\u5224\u8f85\u52a9\u3001\u81ea\u52a8\u5316\u8d5b\u4e8b\u76f4\u64ad\u3001\u4f53\u80b2\u8bad\u7ec3\u6570\u636e\u5206\u6790\u7b49\u9886\u57df\u3002\u4f8b\u5982\uff0c\u5728\u667a\u80fd\u88c1\u5224\u8f85\u52a9\u4e2d\uff0c\u53ef\u8f85\u52a9\u88c1\u5224\u5224\u65ad\u8d8a\u4f4d\u3001\u72af\u89c4\u7b49\u5173\u952e\u4e8b\u4ef6\uff1b\u5728\u81ea\u52a8\u5316\u8d5b\u4e8b\u76f4\u64ad\u4e2d\uff0c\u53ef\u81ea\u52a8\u8ffd\u8e2a\u7403\u5458\u548c\u8db3\u7403\uff0c\u4f18\u5316\u76f4\u64ad\u89c6\u89d2\u3002", "category": 5, "status": "draft", "sort_order": 0}


action_type: view
module: 系统监测
description: 获取系统监测综合信息
ip_address: 192.168.124.37
request_data: {}
created_at: 2025-11-03 01:42:50.082101
user_agent:
  Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36


action_type: CREATE
module: 用户管理
description: 创建用户
ip_address: 192.168.124.37
created_at: 2025-11-11 07:35:00.325228
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"username": "demo", "email": "123456@163.com", "phone": "", "real_name": "", "avatar": "", "gender": 1, "birthday": "", "department_id": 0, "status": 1, "password": "***"}


action_type: CREATE
module: 用户管理
description: 创建用户
ip_address: 192.168.124.37
created_at: 2025-11-11 07:40:03.180739
user_agent:
[cell repeats an earlier one in this file: 111 characters]

request_data:
  {"username": "6666", "email": "1234567@qq.com", "phone": "", "real_name": "", "avatar": "", "gender": 1, "birthday": "", "department_id": 0, "status": 1, "password": "***"}


# hertz_wiki_article

title: yolo检测足球
status: published
created_at: 2025-10-31 08:21:50.386890
updated_at: 2025-10-31 08:21:50.386890
published_at: 2025-10-31 08:22:01.087008
content:
  基于计算机视觉的足球目标检测系统：该系统基于深度学习算法，如 YOLOv10、YOLOv8 等，能够实时识别并分类足球比赛中的关键目标，包括足球、球员、守门员和裁判。它具有图片检测、视频检测和摄像头实时检测等功能，可广泛应用于足球比赛分析、智能裁判辅助、自动化赛事直播、体育训练数据分析等领域。例如，在智能裁判辅助中，可辅助裁判判断越位、犯规等关键事件；在自动化赛事直播中，可自动追踪球员和足球，优化直播视角。


