From f182e873797baf0dd131fff51c785c37237b7895 Mon Sep 17 00:00:00 2001 From: DavidWangW <540097031@qq.com> Date: Tue, 30 Jun 2026 15:27:01 +0800 Subject: [PATCH 1/3] =?UTF-8?q?=E6=96=B0=E5=A2=9E=E9=80=9F=E5=BA=A6?= =?UTF-8?q?=E4=BC=B0=E8=AE=A1=E6=A0=A1=E5=87=86=E5=B7=A5=E5=85=B7=EF=BC=8C?= =?UTF-8?q?=E7=94=A8=E4=BA=8E=E6=9B=B4=E6=8D=A2=E5=88=86=E8=BE=A8=E7=8E=87?= =?UTF-8?q?=E5=90=8E=EF=BC=8C=E9=87=8D=E6=96=B0=E6=A0=A1=E5=AF=B9=E9=80=9F?= =?UTF-8?q?=E5=BA=A6=E8=AE=A1=E7=AE=97SOURCE=E6=95=B0=E7=BB=84?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- HIGHWAY_VISION_DEV_GUIDE.md | 802 ++++++++++++++++++ examples/speed_estimation/calibrate_source.py | 140 +++ 2 files changed, 942 insertions(+) create mode 100644 HIGHWAY_VISION_DEV_GUIDE.md create mode 100644 examples/speed_estimation/calibrate_source.py diff --git a/HIGHWAY_VISION_DEV_GUIDE.md b/HIGHWAY_VISION_DEV_GUIDE.md new file mode 100644 index 0000000000..30ece9a424 --- /dev/null +++ b/HIGHWAY_VISION_DEV_GUIDE.md @@ -0,0 +1,802 @@ +# Supervision 项目介绍与高速公路视觉分析系统开发指南 + +## 一、项目介绍 + +### 1.1 项目概述 + +**supervision** 是由 Roboflow 维护的开源计算机视觉工具库，被誉为"你的计算机视觉必备工具包"。它是一个模型无关（model-agnostic）的 Python 库，核心设计理念是将来自不同检测、分割、分类和关键点模型的输出标准化为统一的数据容器，然后在此基础上提供丰富的标注、跟踪、区域计数、数据集管理和指标评估工具。 + +- **版本**: `0.29.0.dev`（开发版） +- **许可证**: MIT +- **Python**: `>=3.9`（支持 3.9 ~ 3.14） +- **上游仓库**: https://github.com/roboflow/supervision +- **Fork 仓库**: https://github.com/DavidWangW/supervision +- **官方文档**: https://supervision.roboflow.com/latest/ + +### 1.2 核心特性 + +| 特性 | 说明 | +|------|------| +| 模型无关 | 支持 10+ 模型家族的标准化输出转换（YOLO、Transformers、Detectron2、MMDetection 等） | +| 统一数据容器 | `Detections`、`KeyPoints`、`Classifications` 三大核心数据类 | +| 丰富的标注器 | 22+ 可组合的可视化标注器（框、掩码、标签、热力图、轨迹等） | +| 多目标跟踪 | 内置 ByteTrack 跟踪器（已废弃，推荐使用外部 `trackers` 包） | +| 区域计数 | `LineZone`（线穿越计数）和 `PolygonZone`（多边形区域计数） | +| 数据集管理 | 支持 COCO / YOLO / Pascal VOC 格式的加载、保存、拆分与合并 | +| 评估指标 | mAP、mAR、混淆矩阵、精确率、召回率、F1 | +| 视频处理 | 帧生成器、视频写入、FPS 监控等视频工具 | + +### 1.3 项目结构 + +``` +d:\MyGithubRepo\supervision\ +├── .github/ # CI、CONTRIBUTING.md、工作流 +├── docs/ # MkDocs 文档源码 +├── examples/ # 端到端示例脚本 +│ ├── tracking/ # 目标跟踪示例 +│ ├── count_people_in_zone/ # 区域计数示例 +│ ├── traffic_analysis/ # 交通流分析示例 ⭐ +│ ├── speed_estimation/ # 速度估算示例 ⭐ +│ ├── time_in_zone/ # 区域停留时间示例 +│ ├── heatmap_and_track/ # 热力图与轨迹示例 +│ └── compact_mask/ # 紧凑掩码示例 +├── src/ +│ └── supervision/ # 主包源码 +│ ├── detection/ # 核心检测容器 (Detections)、VLM、LineZone、PolygonZone、Sinks、Slicer +│ ├── annotators/ # 22+ 可视化标注器 +│ ├── dataset/ # 数据集管理 (COCO/YOLO/Pascal VOC) +│ ├── draw/ # 颜色系统与底层绘图原语 +│ ├── geometry/ # 几何原语: Point, Vector, Rect, Position +│ ├── tracker/ # ByteTrack 多目标跟踪器（已废弃） +│ ├── key_points/ # 关键点检测容器与标注器 +│ ├── classification/ # 分类容器 +│ ├── metrics/ # 评估指标: mAP, ConfusionMatrix, Precision, Recall, F1 +│ ├── utils/ # 视频/图像/文件/转换等工具 +│ └── validators/ # 内部验证函数 +├── tests/ # pytest 测试套件 +├── pyproject.toml # 构建/依赖/lint 配置 +├── mkdocs.yml # 文档构建配置 +└── uv.lock # uv 锁文件 +``` + +### 1.4 核心依赖 + +| 依赖 | 版本要求 | 用途 | +|------|---------|------| +| numpy | >=1.21.2 | 数组运算 | +| opencv-python | >=4.5.5.64 | 图像处理 | +| scipy | >=1.10 | 科学计算 | +| matplotlib | >=3.6 | 绘图/调色板 | +| pillow | >=9.4 | 图像处理 | +| tqdm | >=4.62.3 | 进度条 | +| pyyaml | >=5.3 | YAML 文件处理 | +| requests | >=2.26 | HTTP 请求（资源下载） | + +--- + +## 二、开发环境配置 + +### 2.1 前置条件 + +- Python >= 3.9 +- [uv](https://docs.astral.sh/uv/) 包管理器（已安装） +- Git + +### 2.2 环境搭建（已完成） + +你已经通过 `git clone` 和 `uv` 完成了环境配置，以下是完整步骤回顾： + +```bash +# 1. 克隆 Fork 仓库 +git clone https://github.com/DavidWangW/supervision.git +cd supervision + +# 2. 使用 uv 创建虚拟环境并安装依赖 +uv sync + +# 3. 激活虚拟环境 (Windows PowerShell) +.venv\Scripts\Activate.ps1 + +# 4. 安装 pre-commit 钩子 +uv run pre-commit install +``` + +### 2.3 验证安装 + +```bash +# 运行测试套件，确认环境正常 +uv run pytest --cov=supervision + +# 运行 pre-commit 检查 +uv run pre-commit run --all-files +``` + +### 2.4 关键开发工具 + +| 工具 | 用途 | 命令 | +|------|------|------| +| uv | 包管理与虚拟环境 | `uv sync`, `uv run`, `uv add` | +| pytest | 测试运行 | `uv run pytest --cov=supervision` | +| pre-commit | 提交前自动检查 | `uv run pre-commit run --all-files` | +| ruff | 代码格式化与 lint | `uv run ruff check .`, `uv run ruff format .` | +| mypy | 类型检查 | `uv run mypy src/supervision` | + +--- + +## 三、代码规范与提交约定 + +### 3.1 分支策略 + +- 从 `develop` 分支创建新分支，使用前缀：`feat/`、`fix/`、`docs/`、`refactor/`、`test/`、`chore/` +- PR 必须指向 `develop` 分支 + +```bash +# 示例：创建功能分支 +git checkout develop +git pull origin develop +git checkout -b feat/highway-speed-display +``` + +### 3.2 提交信息规范（Conventional Commits） + +``` +feat: 新功能 +fix: 修复 bug +docs: 文档更新 +refactor: 重构（不改变行为） +perf: 性能优化 +test: 测试相关 +chore: 构建/工具/杂项 +``` + +### 3.3 代码风格 + +- **格式化与 Lint**: 由 **ruff** 强制执行（目标: py39, 行宽 88, 双引号） +- **类型注解**: 所有新代码必须添加类型注解，鼓励使用 mypy 严格模式 +- **文档字符串**: Google Python 风格，所有新函数和类必须包含，应包含可运行的示例 + +```python +def calculate_headway(distance: float, speed: float) -> float: + """Calculate time headway between two vehicles. + + Args: + distance: Distance between vehicles in meters. + speed: Speed of the following vehicle in m/s. + + Returns: + Time headway in seconds. + + Example: + >>> calculate_headway(50.0, 25.0) + 2.0 + """ + if speed <= 0: + return float("inf") + return distance / speed +``` + +### 3.4 提交前必做检查 + +```bash +uv run pytest --cov=supervision +uv run pre-commit run --all-files +``` + +--- + +## 四、核心 API 速查 + +### 4.1 Detections — 检测数据容器 + +`Detections` 是整个库最核心的数据结构，统一封装所有模型的输出： + +```python +import supervision as sv + +# 从 Ultralytics YOLO 模型创建 +detections = sv.Detections.from_ultralytics(results) + +# 字段说明 +detections.xyxy # 边界框 (N, 4) — [x1, y1, x2, y2] +detections.mask # 分割掩码 (N, H, W) 或 CompactMask +detections.confidence # 置信度 (N,) +detections.class_id # 类别 ID (N,) +detections.tracker_id # 跟踪 ID (N,) +detections.data # 自定义数据字典 (如 class_name) +detections.metadata # 集合级元数据 + +# 切片与过滤 +detections[0:5] # 前 5 个检测 +detections[detections.confidence > 0.5] # 高置信度过滤 +detections[detections.class_id == 2] # 按类别过滤 + +# 锚点坐标（用于标注定位） +points = detections.get_anchors_coordinates(sv.Position.BOTTOM_CENTER) +``` + +### 4.2 Annotators — 可组合标注器 + +标注器遵循**可组合模式**，每个标注器独立，通过链式调用叠加效果： + +```python +box_annotator = sv.BoxAnnotator(thickness=2) +label_annotator = sv.LabelAnnotator(text_scale=0.5) +trace_annotator = sv.TraceAnnotator(trace_length=30) + +# 链式标注 +annotated = frame.copy() +annotated = trace_annotator.annotate(scene=annotated, detections=detections) +annotated = box_annotator.annotate(scene=annotated, detections=detections) +annotated = label_annotator.annotate( + scene=annotated, detections=detections, labels=labels +) +``` + +**常用标注器一览：** + +| 标注器 | 用途 | 高速公路场景应用 | +|--------|------|-----------------| +| `BoxAnnotator` | 矩形框 | 车辆检测框 | +| `RoundBoxAnnotator` | 圆角矩形框 | 美化检测框 | +| `LabelAnnotator` | 文本标签 | 显示车速、ID | +| `TraceAnnotator` | 运动轨迹 | 车辆行驶轨迹 | +| `HeatMapAnnotator` | 热力图 | 交通密度可视化 | +| `PolygonAnnotator` | 多边形标注 | 标注检测区域 | +| `BlurAnnotator` | 模糊处理 | 隐私保护 | +| `PercentageBarAnnotator` | 百分比条 | 置信度/速度比例条 | + +### 4.3 Zone — 区域计数 + +#### LineZone — 线穿越计数 + +```python +# 定义计数线 +start = sv.Point(x=0, y=1080) +end = sv.Point(x=1920, y=1080) +line_zone = sv.LineZone(start=start, end=end) + +# 每帧更新 +crossed_in, crossed_out = line_zone.trigger(detections) + +# 可视化 +line_annotator = sv.LineZoneAnnotator(thickness=2) +annotated = line_annotator.annotate(scene=annotated, line_counter=line_zone) +``` + +#### PolygonZone — 多边形区域计数 + +```python +polygon = np.array([[0, 0], [1920, 0], [1920, 500], [0, 500]]) +zone = sv.PolygonZone(polygon=polygon) +inside = zone.trigger(detections) # 返回布尔数组 +detections_in_zone = detections[inside] +``` + +### 4.4 Tracker — 多目标跟踪 + +```python +# 内置 ByteTrack（已废弃但仍可用） +tracker = sv.ByteTrack(frame_rate=30) +detections = tracker.update_with_detections(detections) + +# 推荐：外部 trackers 包 +# pip install trackers +from trackers import ByteTrackTracker +tracker = ByteTrackTracker() +detections = tracker.update(detections) +``` + +### 4.5 Video — 视频处理工具 + +```python +# 视频信息 +video_info = sv.VideoInfo.from_video_path("input.mp4") +# video_info.fps, video_info.width, video_info.height, video_info.total_frames + +# 帧生成器 +frame_generator = sv.get_video_frames_generator(source_path="input.mp4") + +# 视频写入 +with sv.VideoSink("output.mp4", video_info) as sink: + for frame in frame_generator: + # 处理帧... + sink.write_frame(annotated_frame) +``` + +### 4.6 Sinks — 数据导出 + +```python +# CSV 导出 +with sv.CSVSink("detections.csv") as sink: + for frame in frame_generator: + # ...检测... + sink.append(detections, custom_data={"frame_id": i}) + +# JSON 导出 +with sv.JSONSink("detections.json") as sink: + # ...同上... + sink.append(detections) +``` + +### 4.7 Color — 颜色系统 + +```python +# 预定义颜色 +sv.Color.RED, sv.Color.GREEN, sv.Color.BLUE, sv.Color.WHITE, sv.Color.BLACK + +# 自定义颜色 +color = sv.Color.from_hex("#FF5733") + +# 调色板 +palette = sv.ColorPalette.from_hex(["#E6194B", "#3CB44B", "#FFE119", "#3C76D1"]) +# 默认调色板: sv.ColorPalette.DEFAULT +``` + +--- + +## 五、高速公路视觉分析系统开发指南 + +### 5.1 系统目标 + +基于 supervision 库，开发一款面向**高速公路场景**的智能视觉分析系统，实现以下核心功能： + +| 功能模块 | 描述 | 对应 supervision 能力 | +|----------|------|----------------------| +| 车辆检测 | 实时检测画面中的车辆 | `Detections` + `from_ultralytics()` | +| 多目标跟踪 | 对检测到的车辆持续跟踪 | `ByteTrack` / `trackers` 包 | +| 车速显示 | 估算并标注每辆车的行驶速度 | `ViewTransformer` + `TraceAnnotator` + `LabelAnnotator` | +| 车流量统计 | 统计通过某截面的车辆数量 | `LineZone` + `LineZoneAnnotator` | +| 车头间距测量 | 计算同车道前后车辆之间的距离/时间间距 | 自定义逻辑 + 几何计算 | + +### 5.2 推荐技术栈 + +``` +检测模型: Ultralytics YOLO (yolo11x.pt 或自定义训练的高速公路模型) +跟踪器: ByteTrack (sv.ByteTrack 或 trackers 包) +标注: supervision annotators (BoxAnnotator, LabelAnnotator, TraceAnnotator, ...) +区域分析: LineZone, PolygonZone +透视变换: cv2.getPerspectiveTransform (像素→真实坐标映射) +视频 I/O: supervision VideoInfo + VideoSink + get_video_frames_generator +数据导出: CSVSink, JSONSink +``` + +### 5.3 系统架构设计 + +``` +┌──────────────────────────────────────────────────────┐ +│ 高速公路视觉分析系统 │ +├──────────────┬───────────────┬───────────────────────┤ +│ 输入层 │ 处理层 │ 输出层 │ +├──────────────┼───────────────┼───────────────────────┤ +│ 视频流/摄像头 │ 车辆检测 │ 可视化视频输出 │ +│ RTSP/本地文件 │ 多目标跟踪 │ 车速标注显示 │ +│ │ 透视坐标变换 │ 车流量统计面板 │ +│ │ 速度估算 │ 车头间距标注 │ +│ │ 区域计数 │ 数据导出(CSV/JSON) │ +│ │ 间距计算 │ 实时预警 │ +└──────────────┴───────────────┴───────────────────────┘ +``` + +### 5.4 核心模块实现思路 + +#### 5.4.1 车辆检测 + +```python +from ultralytics import YOLO +import supervision as sv + +model = YOLO("yolo11x.pt") # 或自定义训练模型 + +def detect_vehicles(frame: np.ndarray) -> sv.Detections: + """检测帧中的车辆（car=2, motorcycle=3, bus=5, truck=7）。""" + results = model(frame, conf=0.3, iou=0.7)[0] + detections = sv.Detections.from_ultralytics(results) + # 过滤车辆类别 (COCO 类别 ID) + vehicle_classes = [2, 3, 5, 7] + if detections.class_id is not None: + vehicle_mask = np.isin(detections.class_id, vehicle_classes) + detections = detections[vehicle_mask] + return detections +``` + +#### 5.4.2 多目标跟踪 + +```python +tracker = sv.ByteTrack(frame_rate=30, track_activation_threshold=0.3) + +# 在每帧中更新跟踪 +detections = tracker.update_with_detections(detections) +# 之后可通过 detections.tracker_id 访问每辆车的唯一 ID +``` + +#### 5.4.3 车速估算 + +参考 `examples/speed_estimation/` 的实现思路，核心是**透视变换**将像素坐标映射到真实世界坐标： + +```python +class ViewTransformer: + """透视变换器：将图像像素坐标映射到真实世界坐标。""" + + def __init__(self, source: np.ndarray, target: np.ndarray) -> None: + source = source.astype(np.float32) + target = target.astype(np.float32) + self.m = cv2.getPerspectiveTransform(source, target) + + def transform_points(self, points: np.ndarray) -> np.ndarray: + if points.size == 0: + return points + reshaped_points = points.reshape(-1, 1, 2).astype(np.float32) + transformed_points = cv2.perspectiveTransform(reshaped_points, self.m) + return transformed_points.reshape(-1, 2) + + +# 使用方式： +# 1. SOURCE: 图像中 4 个标定点（如车道线的 4 个角点） +# 2. TARGET: 对应的真实世界坐标（米） +SOURCE = np.array([[1252, 787], [2298, 803], [5039, 2159], [-550, 2159]]) +TARGET_WIDTH = 25 # 米 +TARGET_HEIGHT = 250 # 米 +TARGET = np.array([ + [0, 0], [TARGET_WIDTH - 1, 0], + [TARGET_WIDTH - 1, TARGET_HEIGHT - 1], [0, TARGET_HEIGHT - 1], +]) + +view_transformer = ViewTransformer(source=SOURCE, target=TARGET) + +# 3. 速度计算：连续帧间跟踪点的位移 / 时间 +from collections import defaultdict, deque + +coordinates = defaultdict(lambda: deque(maxlen=int(fps))) + +# 每帧更新坐标 +points = detections.get_anchors_coordinates(sv.Position.BOTTOM_CENTER) +points = view_transformer.transform_points(points).astype(int) +for tracker_id, [_, y] in zip(detections.tracker_id, points): + coordinates[tracker_id].append(y) + +# 计算速度 +for tracker_id in detections.tracker_id: + if len(coordinates[tracker_id]) >= fps / 2: + distance = abs(coordinates[tracker_id][-1] - coordinates[tracker_id][0]) # 米 + time = len(coordinates[tracker_id]) / fps # 秒 + speed = distance / time * 3.6 # km/h + labels.append(f"#{tracker_id} {int(speed)} km/h") +``` + +> **重要提示**: `SOURCE` 和 `TARGET` 必须根据实际摄像头的视角单独标定，不同机位需要不同配置。 + +#### 5.4.4 车流量统计 + +使用 `LineZone` 在画面中设置虚拟检测线： + +```python +# 设置检测线（如高速公路横截面） +line_start = sv.Point(x=500, y=600) +line_end = sv.Point(x=1400, y=600) +line_zone = sv.LineZone(start=line_start, end=line_end) + +# 每帧触发 +crossed_in, crossed_out = line_zone.trigger(detections) + +# 获取累计计数 +in_count = line_zone.in_count +out_count = line_zone.out_count + +# 可视化 +line_annotator = sv.LineZoneAnnotator(thickness=2, text_thickness=2, text_scale=0.5) +annotated = line_annotator.annotate(scene=annotated, line_counter=line_zone) +``` + +多车道场景可使用多条 `LineZone`： + +```python +# 为每条车道创建独立的计数线 +lane_lines = [ + sv.LineZone(start=sv.Point(200, 600), end=sv.Point(600, 600)), + sv.LineZone(start=sv.Point(700, 600), end=sv.Point(1100, 600)), + sv.LineZone(start=sv.Point(1200, 600), end=sv.Point(1600, 600)), +] +``` + +#### 5.4.5 车头间距测量 + +此功能需要自定义开发，supervision 不直接提供。实现思路： + +```python +def calculate_headway( + detections: sv.Detections, + view_transformer: ViewTransformer, + lane_boundaries: list[np.ndarray], +) -> dict[int, float]: + """计算同车道前后车辆的车头时距（秒）。 + + Args: + detections: 包含 tracker_id 的检测数据。 + view_transformer: 透视变换器。 + lane_boundaries: 各车道的边界多边形。 + + Returns: + tracker_id 到车头时距的映射。 + """ + # 1. 将检测点转换到真实世界坐标 + points = detections.get_anchors_coordinates(sv.Position.BOTTOM_CENTER) + real_points = view_transformer.transform_points(points) + + # 2. 按车道分组 + lane_groups: dict[int, list[tuple[int, float]]] = defaultdict(list) + for i, point in enumerate(real_points): + for lane_id, boundary in enumerate(lane_boundaries): + if _point_in_polygon(point, boundary): + lane_groups[lane_id].append( + (detections.tracker_id[i], point[1]) # (id, y坐标) + ) + + # 3. 在每条车道内按 y 坐标排序，计算相邻车头时距 + headways: dict[int, float] = {} + for lane_id, vehicles in lane_groups.items(): + vehicles.sort(key=lambda v: v[1]) # 按行驶方向排序 + for i in range(1, len(vehicles)): + tracker_id, y_rear = vehicles[i - 1] + _, y_front = vehicles[i] + distance = abs(y_front - y_rear) # 米 + # 假设后车速度已知（从速度估算模块获取） + speed = get_speed(tracker_id) # m/s + if speed > 0: + headways[tracker_id] = distance / speed # 秒 + + return headways + + +def _point_in_polygon(point: np.ndarray, polygon: np.ndarray) -> bool: + """判断点是否在多边形内。""" + result = cv2.pointPolygonTest(polygon.astype(np.float32), point, False) + return result >= 0 +``` + +### 5.5 完整系统示例框架 + +以下是一个整合所有功能的基础框架： + +```python +from collections import defaultdict, deque + +import cv2 +import numpy as np +from ultralytics import YOLO + +import supervision as sv + + +# ============ 配置 ============ + +# 透视变换标定点（需根据实际摄像头标定） +SOURCE = np.array([[1252, 787], [2298, 803], [5039, 2159], [-550, 2159]]) +TARGET_WIDTH = 25 # 米 +TARGET_HEIGHT = 250 # 米 +TARGET = np.array([ + [0, 0], [TARGET_WIDTH - 1, 0], + [TARGET_WIDTH - 1, TARGET_HEIGHT - 1], [0, TARGET_HEIGHT - 1], +]) + +# 车流量统计检测线 +LINE_START = sv.Point(x=500, y=600) +LINE_END = sv.Point(x=1400, y=600) + +# 车辆类别 (COCO) +VEHICLE_CLASSES = [2, 3, 5, 7] # car, motorcycle, bus, truck + + +# ============ 透视变换器 ============ + +class ViewTransformer: + def __init__(self, source: np.ndarray, target: np.ndarray) -> None: + source = source.astype(np.float32) + target = target.astype(np.float32) + self.m = cv2.getPerspectiveTransform(source, target) + + def transform_points(self, points: np.ndarray) -> np.ndarray: + if points.size == 0: + return points + reshaped_points = points.reshape(-1, 1, 2).astype(np.float32) + transformed_points = cv2.perspectiveTransform(reshaped_points, self.m) + return transformed_points.reshape(-1, 2) + + +# ============ 主处理逻辑 ============ + +def main( + source_video_path: str, + target_video_path: str, + confidence_threshold: float = 0.3, + iou_threshold: float = 0.7, +) -> None: + """高速公路车辆检测、跟踪、测速、流量统计与间距分析。""" + # 初始化模型和工具 + video_info = sv.VideoInfo.from_video_path(video_path=source_video_path) + model = YOLO("yolo11x.pt") + tracker = sv.ByteTrack( + frame_rate=video_info.fps, + track_activation_threshold=confidence_threshold, + ) + view_transformer = ViewTransformer(source=SOURCE, target=TARGET) + + # 初始化标注器 + thickness = sv.calculate_optimal_line_thickness( + resolution_wh=video_info.resolution_wh + ) + text_scale = sv.calculate_optimal_text_scale( + resolution_wh=video_info.resolution_wh + ) + box_annotator = sv.BoxAnnotator(thickness=thickness) + label_annotator = sv.LabelAnnotator( + text_scale=text_scale, + text_thickness=thickness, + text_position=sv.Position.BOTTOM_CENTER, + ) + trace_annotator = sv.TraceAnnotator( + thickness=thickness, + trace_length=int(video_info.fps * 2), + position=sv.Position.BOTTOM_CENTER, + ) + + # 初始化车流量统计 + line_zone = sv.LineZone(start=LINE_START, end=LINE_END) + line_annotator = sv.LineZoneAnnotator(thickness=thickness) + + # 速度追踪 + coordinates = defaultdict(lambda: deque(maxlen=int(video_info.fps))) + speeds: dict[int, float] = {} + + # 视频处理循环 + frame_generator = sv.get_video_frames_generator(source_path=source_video_path) + with sv.VideoSink(target_video_path, video_info) as sink: + for frame in frame_generator: + # 1. 检测 + results = model(frame, conf=confidence_threshold, iou=iou_threshold)[0] + detections = sv.Detections.from_ultralytics(results) + + # 2. 过滤车辆类别 + if detections.class_id is not None: + vehicle_mask = np.isin(detections.class_id, VEHICLE_CLASSES) + detections = detections[vehicle_mask] + + # 3. 多目标跟踪 + detections = tracker.update_with_detections(detections=detections) + + # 4. 速度估算 + points = detections.get_anchors_coordinates( + anchor=sv.Position.BOTTOM_CENTER + ) + points = view_transformer.transform_points(points=points).astype(int) + + for tracker_id, [_, y] in zip(detections.tracker_id, points): + coordinates[tracker_id].append(y) + + labels = [] + for tracker_id in detections.tracker_id: + if len(coordinates[tracker_id]) < video_info.fps / 2: + labels.append(f"#{tracker_id}") + speeds[tracker_id] = 0.0 + else: + distance = abs( + coordinates[tracker_id][-1] - coordinates[tracker_id][0] + ) + time = len(coordinates[tracker_id]) / video_info.fps + speed = distance / time * 3.6 # km/h + speeds[tracker_id] = speed + labels.append(f"#{tracker_id} {int(speed)} km/h") + + # 5. 车流量统计 + line_zone.trigger(detections=detections) + + # 6. 可视化标注 + annotated_frame = frame.copy() + annotated_frame = trace_annotator.annotate( + scene=annotated_frame, detections=detections + ) + annotated_frame = box_annotator.annotate( + scene=annotated_frame, detections=detections + ) + annotated_frame = label_annotator.annotate( + scene=annotated_frame, detections=detections, labels=labels + ) + annotated_frame = line_annotator.annotate( + scene=annotated_frame, line_counter=line_zone + ) + + sink.write_frame(annotated_frame) + + +if __name__ == "__main__": + main( + source_video_path="data/highway.mp4", + target_video_path="data/highway_result.mp4", + ) +``` + +### 5.6 开发路线图 + +建议按以下阶段推进： + +**阶段一：基础检测与跟踪** +- [ ] 搭建项目脚手架，创建 `highway_vision/` 模块目录 +- [ ] 集成 YOLO 模型，实现车辆检测 +- [ ] 集成 ByteTrack，实现多目标跟踪 +- [ ] 基础可视化（检测框 + ID 标签 + 轨迹） + +**阶段二：速度估算** +- [ ] 实现透视变换标定工具（交互式选点） +- [ ] 实现 `ViewTransformer` 坐标映射 +- [ ] 实现速度估算算法 +- [ ] 车速标签可视化 + +**阶段三：流量统计** +- [ ] 实现 `LineZone` 车道检测线配置 +- [ ] 单车道流量计数 +- [ ] 多车道独立计数 +- [ ] 流量统计面板可视化 + +**阶段四：车头间距** +- [ ] 车道区域定义与车辆分组 +- [ ] 基于透视坐标的间距计算 +- [ ] 车头时距（THW）计算 +- [ ] 危险间距预警 + +**阶段五：系统集成与优化** +- [ ] 实时视频流支持（RTSP） +- [ ] 数据导出（CSV/JSON） +- [ ] 性能优化（GPU 加速、帧采样） +- [ ] Web/API 接口（可选） + +### 5.7 推荐的项目目录结构 + +``` +highway_vision/ +├── __init__.py +├── config.py # 全局配置（模型路径、标定点、阈值等） +├── detector.py # 车辆检测模块 +├── tracker.py # 多目标跟踪模块 +├── speed_estimator.py # 速度估算模块 +├── traffic_counter.py # 车流量统计模块 +├── headway_calculator.py # 车头间距计算模块 +├── view_transform.py # 透视变换模块 +├── visualizer.py # 可视化渲染模块 +├── pipeline.py # 主处理流水线 +└── utils.py # 工具函数 +``` + +--- + +## 六、参考资源 + +### 6.1 项目内示例 + +| 示例 | 路径 | 与高速公路系统的关联 | +|------|------|---------------------| +| 速度估算 | `examples/speed_estimation/` | 直接参考 — 车速显示功能 | +| 交通流分析 | `examples/traffic_analysis/` | 直接参考 — 车流量统计功能 | +| 目标跟踪 | `examples/tracking/` | 基础参考 — 多目标跟踪流程 | +| 区域计数 | `examples/count_people_in_zone/` | 基础参考 — PolygonZone 用法 | +| 热力图与轨迹 | `examples/heatmap_and_track/` | 扩展参考 — 密度可视化 | + +### 6.2 关键文件速查 + +| 需求 | 文件路径 | +|------|---------| +| Detections 数据类 | `src/supervision/detection/core.py` | +| LineZone / LineZoneAnnotator | `src/supervision/detection/line_zone.py` | +| PolygonZone / PolygonZoneAnnotator | `src/supervision/detection/tools/polygon_zone.py` | +| ByteTrack 跟踪器 | `src/supervision/tracker/byte_tracker/core.py` | +| 所有标注器 | `src/supervision/annotators/core.py` | +| 颜色系统 | `src/supervision/draw/color.py` | +| 绘图原语 | `src/supervision/draw/utils.py` | +| 视频工具 | `src/supervision/utils/video.py` | +| 几何原语 | `src/supervision/geometry/core.py` | +| CSV/JSON 导出 | `src/supervision/detection/tools/csv_sink.py`, `json_sink.py` | + +### 6.3 外部资源 + +- [supervision 官方文档](https://supervision.roboflow.com/latest/) +- [Ultralytics YOLO 文档](https://docs.ultralytics.com/) +- [ByteTrack 论文](https://arxiv.org/abs/2110.06864) +- [透视变换教程](https://docs.opencv.org/4.x/da/d6e/tutorial_py_geometric_transformations.html) diff --git a/examples/speed_estimation/calibrate_source.py b/examples/speed_estimation/calibrate_source.py new file mode 100644 index 0000000000..ff25e52966 --- /dev/null +++ b/examples/speed_estimation/calibrate_source.py @@ -0,0 +1,140 @@ +""" +Interactive SOURCE calibration tool for speed_estimation. + +Usage: + python calibrate_source.py --source_video_path + +Instructions: + 1. A window will open showing the first frame of the video. + 2. Click 4 points in order: top-left, top-right, bottom-right, bottom-left + to define the road region for perspective transformation. + 3. The points should form a quadrilateral on the road surface, + with the top edge being farther from the camera and the bottom edge closer. + 4. Press 'q' to quit, 'r' to reset points. + 5. After selecting 4 points, the result will be printed to console. + + Then update the SOURCE variable in ultralytics_example.py with the output. +""" + +import argparse + +import cv2 +import numpy as np + + +def calibrate(video_path: str) -> None: + """Open interactive window to pick 4 SOURCE points from video.""" + cap = cv2.VideoCapture(video_path) + if not cap.isOpened(): + print(f"Error: Cannot open video {video_path}") + return + + ret, frame = cap.read() + cap.release() + if not ret: + print("Error: Cannot read first frame") + return + + h, w = frame.shape[:2] + print(f"Video resolution: {w}x{h}") + + points: list[tuple[int, int]] = [] + + def redraw() -> None: + """Redraw all points and lines on the frame.""" + display = frame.copy() + for i, pt in enumerate(points): + cv2.circle(display, pt, 8, (0, 255, 0), -1) + cv2.putText( + display, + f"P{i+1}", + (pt[0] + 10, pt[1] - 10), + cv2.FONT_HERSHEY_SIMPLEX, + 0.7, + (0, 255, 0), + 2, + ) + if len(points) > 1: + cv2.polylines( + display, + [np.array(points, dtype=np.int32)], + isClosed=False, + color=(0, 255, 0), + thickness=2, + ) + if len(points) == 4: + cv2.polylines( + display, + [np.array(points, dtype=np.int32)], + isClosed=True, + color=(0, 0, 255), + thickness=2, + ) + cv2.imshow("Calibrate SOURCE - Click 4 points", display) + + def mouse_callback(event: int, x: int, y: int, flags: int, param: None) -> None: + if event == cv2.EVENT_LBUTTONDOWN and len(points) < 4: + points.append((x, y)) + print(f" P{len(points)}: ({x}, {y})") + redraw() + + cv2.namedWindow("Calibrate SOURCE - Click 4 points", cv2.WINDOW_NORMAL) + cv2.resizeWindow("Calibrate SOURCE - Click 4 points", w, h) + cv2.setMouseCallback("Calibrate SOURCE - Click 4 points", mouse_callback) + cv2.imshow("Calibrate SOURCE - Click 4 points", frame) + + print("\nClick 4 points in order:") + print(" P1: top-left (far left of road)") + print(" P2: top-right (far right of road)") + print(" P3: bottom-right (near right of road)") + print(" P4: bottom-left (near left of road)") + print("\nPress 'r' to reset, 'q' to quit\n") + + while True: + key = cv2.waitKey(100) & 0xFF + if key == ord("q"): + break + elif key == ord("r"): + points.clear() + cv2.imshow("Calibrate SOURCE - Click 4 points", frame) + print("\nPoints reset. Click again.\nClick 4 points in order:") + print(" P1: top-left (far left of road)") + print(" P2: top-right (far right of road)") + print(" P3: bottom-right (near right of road)") + print(" P4: bottom-left (near left of road)") + + cv2.destroyAllWindows() + + if len(points) == 4: + source_array = np.array(points) + print("\n" + "=" * 60) + print("Selected points summary:") + for i, pt in enumerate(points): + print(f" P{i+1}: ({pt[0]}, {pt[1]})") + print("=" * 60) + print("Copy the following line to your ultralytics_example.py:") + print("=" * 60) + coords_str = ", ".join( + [f"[{pt[0]}, {pt[1]}]" for pt in points] + ) + print(f"SOURCE = np.array([{coords_str}])") + print("=" * 60) + + # Also suggest TARGET_WIDTH and TARGET_HEIGHT + # Calculate approximate real-world distance if user provides it + print("\nNote: Also adjust TARGET_WIDTH and TARGET_HEIGHT") + print(" TARGET_WIDTH = real-world width of the road section (meters)") + print(" TARGET_HEIGHT = real-world length of the road section (meters)") + else: + print(f"\nOnly {len(points)} points selected. Need exactly 4.") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser( + description="Calibrate SOURCE points for speed estimation" + ) + parser.add_argument( + "--source_video_path", required=True, help="Path to the source video" + ) + args = parser.parse_args() + calibrate(args.source_video_path) From 393d6f42473bbba4e8a6fb5df9dab3a10979a448 Mon Sep 17 00:00:00 2001 From: DavidWangW <540097031@qq.com> Date: Tue, 30 Jun 2026 15:27:43 +0800 Subject: [PATCH 2/3] =?UTF-8?q?=E6=9B=B4=E6=96=B0=E4=BE=9D=E8=B5=96?= =?UTF-8?q?=EF=BC=9A=E5=8D=87=E7=BA=A7=20`pydeprecate`=20=E5=88=B0=200.9.0?= =?UTF-8?q?=EF=BC=8C=E7=A7=BB=E9=99=A4=E5=AF=B9=20ppc64le=20=E7=9A=84?= =?UTF-8?q?=E6=94=AF=E6=8C=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- uv.lock | 14 ++++---------- 1 file changed, 4 insertions(+), 10 deletions(-) diff --git a/uv.lock b/uv.lock index 297fb88992..af5fe02689 100644 --- a/uv.lock +++ b/uv.lock @@ -959,33 +959,27 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/5f/45/6d80dc379b0bbc1f9d1e429f42e4cb9e1d319c7a8201beffd967c516ea01/cryptography-46.0.7-cp311-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b36a4695e29fe69215d75960b22577197aca3f7a25b9cf9d165dcfe9d80bc325", size = 4275492, upload-time = "2026-04-08T01:56:19.36Z" }, { url = "https://files.pythonhosted.org/packages/4a/9a/1765afe9f572e239c3469f2cb429f3ba7b31878c893b246b4b2994ffe2fe/cryptography-46.0.7-cp311-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5ad9ef796328c5e3c4ceed237a183f5d41d21150f972455a9d926593a1dcb308", size = 4426670, upload-time = "2026-04-08T01:56:21.415Z" }, { url = "https://files.pythonhosted.org/packages/8f/3e/af9246aaf23cd4ee060699adab1e47ced3f5f7e7a8ffdd339f817b446462/cryptography-46.0.7-cp311-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:73510b83623e080a2c35c62c15298096e2a5dc8d51c3b4e1740211839d0dea77", size = 4280275, upload-time = "2026-04-08T01:56:23.539Z" }, - 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Co-authored-by: Cursor --- .gitignore | 3 + examples/README.md | 1 + examples/supervision-service/.gitignore | 11 + examples/supervision-service/README.md | 185 + examples/supervision-service/app/__init__.py | 1 + examples/supervision-service/app/config.py | 18 + .../supervision-service/app/db/__init__.py | 1 + .../supervision-service/app/db/database.py | 83 + .../supervision-service/app/db/repository.py | 273 + examples/supervision-service/app/main.py | 62 + .../app/routers/__init__.py | 1 + .../supervision-service/app/routers/health.py | 11 + .../app/routers/records.py | 102 + .../supervision-service/app/routers/speed.py | 85 + .../supervision-service/app/routers/videos.py | 45 + .../app/schemas/__init__.py | 3 + .../supervision-service/app/schemas/common.py | 15 + .../app/schemas/records.py | 55 + .../app/services/__init__.py | 3 + .../app/services/job_runner.py | 73 + .../app/services/speed_processor.py | 207 + .../app/services/upload_service.py | 40 + .../app/services/video_encoding.py | 47 + .../app/services/video_processor.py | 74 + examples/supervision-service/pyproject.toml | 22 + .../supervision-service/webapp/.editorconfig | 8 + .../supervision-service/webapp/.gitattributes | 1 + .../supervision-service/webapp/.gitignore | 39 + .../supervision-service/webapp/.oxlintrc.json | 10 + .../webapp/.prettierrc.json | 6 + examples/supervision-service/webapp/README.md | 48 + examples/supervision-service/webapp/env.d.ts | 1 + .../webapp/eslint.config.ts | 26 + .../supervision-service/webapp/index.html | 19 + .../webapp/package-lock.json | 5062 +++++++++++++++++ .../supervision-service/webapp/package.json | 44 + .../webapp/public/favicon.ico | Bin 0 -> 4286 bytes .../supervision-service/webapp/src/App.vue | 3 + .../webapp/src/api/jobs.ts | 51 + .../webapp/src/api/records.ts | 59 + .../webapp/src/api/speed.ts | 75 + .../webapp/src/api/video.ts | 73 + .../webapp/src/assets/base.css | 86 + .../webapp/src/assets/global.css | 63 + .../webapp/src/assets/logo.svg | 1 + .../webapp/src/assets/main.css | 35 + .../webapp/src/components/ApiStatusBadge.vue | 51 + .../src/components/CalibrationCanvas.vue | 268 + .../webapp/src/components/HelloWorld.vue | 41 + .../webapp/src/components/ProcessingState.vue | 101 + .../webapp/src/components/ResultPanel.vue | 66 + .../webapp/src/components/TheWelcome.vue | 95 + .../webapp/src/components/VideoDropzone.vue | 80 + .../webapp/src/components/WelcomeItem.vue | 87 + .../src/components/icons/IconCommunity.vue | 7 + .../components/icons/IconDocumentation.vue | 7 + .../src/components/icons/IconEcosystem.vue | 7 + .../src/components/icons/IconSupport.vue | 7 + .../src/components/icons/IconTooling.vue | 19 + .../webapp/src/composables/useApiHealth.ts | 31 + .../webapp/src/composables/useVideoFile.ts | 42 + .../webapp/src/layouts/AppLayout.vue | 180 + .../supervision-service/webapp/src/main.ts | 8 + .../webapp/src/router/index.ts | 25 + .../webapp/src/views/DashboardView.vue | 188 + .../webapp/src/views/HistoryView.vue | 469 ++ .../webapp/src/views/SpeedView.vue | 395 ++ .../webapp/src/views/TrackView.vue | 267 + .../webapp/tsconfig.app.json | 18 + .../supervision-service/webapp/tsconfig.json | 11 + .../webapp/tsconfig.node.json | 27 + .../supervision-service/webapp/vite.config.ts | 23 + 72 files changed, 9651 insertions(+) create mode 100644 examples/supervision-service/.gitignore create mode 100644 examples/supervision-service/README.md create mode 100644 examples/supervision-service/app/__init__.py create mode 100644 examples/supervision-service/app/config.py create mode 100644 examples/supervision-service/app/db/__init__.py create mode 100644 examples/supervision-service/app/db/database.py create mode 100644 examples/supervision-service/app/db/repository.py create mode 100644 examples/supervision-service/app/main.py create mode 100644 examples/supervision-service/app/routers/__init__.py create mode 100644 examples/supervision-service/app/routers/health.py 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index d29b485193..4e2d0c3499 100644 --- a/examples/README.md +++ b/examples/README.md @@ -10,3 +10,4 @@ For more information and examples, visit our [documentation](https://supervision - [speed estimation](./speed_estimation) by [@SkalskiP](https://github.com/SkalskiP) - [time in zone](./time_in_zone) by [@SkalskiP](https://github.com/SkalskiP) - [heatmap and track](./heatmap_and_track/) by [@HinePo](https://github.com/HinePo) +- [App](./App) — FastAPI video analysis API diff --git a/examples/supervision-service/.gitignore b/examples/supervision-service/.gitignore new file mode 100644 index 0000000000..ea1614b0c7 --- /dev/null +++ b/examples/supervision-service/.gitignore @@ -0,0 +1,11 @@ +uploads/ +outputs/ +models/ +data/ +__pycache__/ +*.pyc +.venv/ +.ruff_cache/ +*.pt +webapp/node_modules/ +webapp/dist/ diff --git a/examples/supervision-service/README.md b/examples/supervision-service/README.md new file mode 100644 index 0000000000..e60d5b488b --- /dev/null +++ b/examples/supervision-service/README.md @@ -0,0 +1,185 @@ +# Supervision Service + +基于 [supervision](https://github.com/roboflow/supervision) 的视频分析 Web 服务，包含 **FastAPI 后端** 与 **Vue 3 前端**。 + +支持在浏览器中上传视频、在线处理、预览并下载结果。 + +## 功能 + +| 模块 | 路径 | 说明 | +|------|------|------| +| 概览 | `/` | 控制台首页 | +| 检测跟踪 | `/track` | YOLO 检测 + ByteTrack 跟踪 | +| 速度估算 | `/speed` | 路面四点标定 + 透视变换测速 | + +## 环境要求 + +- **Python** >= 3.10 +- **Node.js** >= 22.18（前端开发/构建） +- **NVIDIA GPU**（可选，建议；CPU 也可运行但较慢） +- **Conda** 或 **uv**（推荐用于 Python 环境管理） + +## 安装 + +### 1. Python 后端依赖 + +```powershell +conda create -n supervision python=3.10 -y +conda activate supervision + +cd examples/supervision-service +pip install -e . +# 或手动安装： +# pip install "fastapi[standard]>=0.115.0" supervision ultralytics "jsonargparse[signatures]" imageio-ffmpeg +``` + +> **RTX 50 系列（5070 Ti 等）**：需安装 CUDA 12.8 版 PyTorch，否则无法使用 GPU： +> +> ```powershell +> pip uninstall torch torchvision torchaudio -y +> pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128 --no-cache-dir +> ``` + +### 2. 前端依赖 + +```powershell +cd examples/supervision-service/webapp +npm install +``` + +## 启动方式 + +### 方式一：开发模式（推荐） + +前后端分开运行，前端支持热更新。 + +**终端 1 — 启动 API** + +```powershell +cd examples/supervision-service +fastapi dev app/main.py +``` + +API 地址：http://127.0.0.1:8000 +API 文档：http://127.0.0.1:8000/docs + +**终端 2 — 启动 Web 前端** + +```powershell +cd examples/supervision-service/webapp +npm run dev +``` + +Web 控制台：http://127.0.0.1:5173 + +> 开发模式下，Vite 会将 `/api`、`/health`、`/docs` 代理到 `8000` 端口，无需额外配置 CORS。 + +### 方式二：生产模式（单端口） + +先构建前端，再由 FastAPI 托管静态页面与 API。 + +```powershell +# 构建前端 +cd examples/supervision-service/webapp +npm run build + +# 启动服务 +cd .. +conda activate supervision +fastapi run app/main.py +``` + +访问：http://127.0.0.1:8000（Web UI + API + `/docs` 同一端口） + +## 项目结构 + +``` +supervision-service/ +├── app/ # FastAPI 后端 +│ ├── main.py # 应用入口 +│ ├── routers/ # API 路由 +│ └── services/ # 视频处理逻辑 +├── webapp/ # Vue 3 前端 +│ ├── src/ +│ └── dist/ # 构建产物（npm run build 后生成） +├── uploads/ # 上传原始视频（持久保存） +├── outputs/ # 处理结果视频（自动创建） +├── data/ # SQLite 数据库（supervision.db） +└── models/ # YOLO 权重（首次运行自动下载） +``` + +## API 接口 + +| 方法 | 路径 | 说明 | +|------|------|------| +| GET | `/health` | 健康检查 | +| GET | `/api/info` | API 元信息 | +| POST | `/api/v1/videos/track` | 检测 + 跟踪，返回 MP4 | +| POST | `/api/v1/videos/speed-estimate` | 速度估算，返回 MP4 | +| GET | `/api/v1/records/uploads` | 上传记录列表 | +| GET | `/api/v1/records/uploads/{id}` | 单条上传记录 | +| GET | `/api/v1/records/uploads/{id}/file` | 下载原始上传文件 | +| GET | `/api/v1/records/jobs` | 解析任务记录列表 | +| GET | `/api/v1/records/jobs/{id}` | 单条解析任务 | +| GET | `/api/v1/records/jobs/{id}/file` | 下载解析结果视频 | + +## 数据存储 + +上传的视频保存在 `uploads/` 目录，元数据与解析记录写入 SQLite： + +- 数据库文件：`data/supervision.db` +- 表 `uploads`：原始文件名、存储路径、大小、上传时间 +- 表 `processing_jobs`：任务类型（`track` / `speed`）、状态、参数、输出路径、错误信息 + +服务启动时会自动建表。处理接口响应头中包含： + +- `X-Upload-Id`：上传记录 ID +- `X-Job-Id`：解析任务 ID + +## 使用说明 + +### 检测跟踪 + +1. 打开 `/track` +2. 上传视频 +3. 调整置信度 / IOU 阈值 +4. 点击「开始处理」 +5. 在线预览或下载结果 + +### 速度估算 + +1. 打开 `/speed` +2. 上传视频，在首帧上依次标记四个路面角点（远端左 → 远端右 → 近端右 → 近端左） +3. 填写路面真实宽度、长度（米） +4. 点击「开始测速」 + +> 标定精度直接影响 km/h 读数是否准确，详见 [`examples/speed_estimation`](../speed_estimation)。 + +## 常见问题 + +**前端显示 API 离线** +确认后端已启动：`fastapi dev app/main.py`，且终端无报错。 + +**处理很慢** +检查是否在使用 GPU：`python -c "import torch; print(torch.cuda.is_available())"` +若为 `False`，需安装带 CUDA 的 PyTorch（见上方安装说明）。 + +**浏览器无法播放结果视频** +后端会在处理完成后自动将视频转码为 H.264。若仍无法播放，可点击「下载视频」用本地播放器查看。修改代码后需**重启 FastAPI** 并**重新处理视频**。 + +**首次运行额外下载** +- 跟踪模块：`models/yolov8s.pt` +- 测速模块：`models/yolo11s.pt` + +## 开发命令 + +```powershell +# 后端 +fastapi dev app/main.py + +# 前端 +cd webapp +npm run dev # 开发 +npm run build # 构建 +npm run type-check # 类型检查 +``` diff --git a/examples/supervision-service/app/__init__.py b/examples/supervision-service/app/__init__.py new file mode 100644 index 0000000000..647fd0b29d --- /dev/null +++ b/examples/supervision-service/app/__init__.py @@ -0,0 +1 @@ +"""Supervision video analysis API.""" diff --git a/examples/supervision-service/app/config.py b/examples/supervision-service/app/config.py new file mode 100644 index 0000000000..dc4dca620d --- /dev/null +++ b/examples/supervision-service/app/config.py @@ -0,0 +1,18 @@ +from pathlib import Path + +APP_DIR = Path(__file__).resolve().parent +BASE_DIR = APP_DIR.parent + +UPLOAD_DIR = BASE_DIR / "uploads" +OUTPUT_DIR = BASE_DIR / "outputs" +MODELS_DIR = BASE_DIR / "models" +DATA_DIR = BASE_DIR / "data" +DATABASE_PATH = DATA_DIR / "supervision.db" + +DEFAULT_WEIGHTS = MODELS_DIR / "yolov8s.pt" +DEFAULT_SPEED_WEIGHTS = MODELS_DIR / "yolo11s.pt" +DEFAULT_CONFIDENCE = 0.3 +DEFAULT_IOU = 0.7 + +for directory in (UPLOAD_DIR, OUTPUT_DIR, MODELS_DIR, DATA_DIR): + directory.mkdir(parents=True, exist_ok=True) diff --git a/examples/supervision-service/app/db/__init__.py b/examples/supervision-service/app/db/__init__.py new file mode 100644 index 0000000000..6239d11968 --- /dev/null +++ b/examples/supervision-service/app/db/__init__.py @@ -0,0 +1 @@ +"""SQLite persistence layer.""" diff --git a/examples/supervision-service/app/db/database.py b/examples/supervision-service/app/db/database.py new file mode 100644 index 0000000000..19115f687b --- /dev/null +++ b/examples/supervision-service/app/db/database.py @@ -0,0 +1,83 @@ +import sqlite3 +from collections.abc import Iterator +from contextlib import contextmanager +from datetime import datetime, timezone + +from app.config import DATABASE_PATH + + +def _now_iso() -> str: + return datetime.now(timezone.utc).replace(tzinfo=None).isoformat(timespec="seconds") + + +def _migrate(connection: sqlite3.Connection) -> None: + columns = { + row[1] + for row in connection.execute("PRAGMA table_info(processing_jobs)").fetchall() + } + if "progress" not in columns: + connection.execute( + "ALTER TABLE processing_jobs ADD COLUMN progress INTEGER NOT NULL DEFAULT 0" + ) + if "current_frame" not in columns: + connection.execute( + "ALTER TABLE processing_jobs ADD COLUMN current_frame INTEGER NOT NULL DEFAULT 0" + ) + if "total_frames" not in columns: + connection.execute( + "ALTER TABLE processing_jobs ADD COLUMN total_frames INTEGER NOT NULL DEFAULT 0" + ) + + +def init_db() -> None: + """Create database tables if they do not exist.""" + with get_connection() as connection: + connection.executescript( + """ + CREATE TABLE IF NOT EXISTS uploads ( + id TEXT PRIMARY KEY, + original_filename TEXT NOT NULL, + stored_filename TEXT NOT NULL, + file_path TEXT NOT NULL, + file_size INTEGER NOT NULL, + content_type TEXT, + created_at TEXT NOT NULL + ); + + CREATE TABLE IF NOT EXISTS processing_jobs ( + id TEXT PRIMARY KEY, + upload_id TEXT NOT NULL, + job_type TEXT NOT NULL, + status TEXT NOT NULL, + output_path TEXT, + parameters TEXT NOT NULL, + error_message TEXT, + progress INTEGER NOT NULL DEFAULT 0, + current_frame INTEGER NOT NULL DEFAULT 0, + total_frames INTEGER NOT NULL DEFAULT 0, + created_at TEXT NOT NULL, + completed_at TEXT, + FOREIGN KEY (upload_id) REFERENCES uploads(id) + ); + + CREATE INDEX IF NOT EXISTS idx_uploads_created_at + ON uploads(created_at DESC); + CREATE INDEX IF NOT EXISTS idx_jobs_upload_id + ON processing_jobs(upload_id); + CREATE INDEX IF NOT EXISTS idx_jobs_created_at + ON processing_jobs(created_at DESC); + """ + ) + _migrate(connection) + connection.commit() + + +@contextmanager +def get_connection() -> Iterator[sqlite3.Connection]: + """Yield a SQLite connection with row factory enabled.""" + connection = sqlite3.connect(DATABASE_PATH) + connection.row_factory = sqlite3.Row + try: + yield connection + finally: + connection.close() diff --git a/examples/supervision-service/app/db/repository.py b/examples/supervision-service/app/db/repository.py new file mode 100644 index 0000000000..aeec97d65f --- /dev/null +++ b/examples/supervision-service/app/db/repository.py @@ -0,0 +1,273 @@ +import json +from dataclasses import dataclass +from pathlib import Path +from typing import Any +from uuid import uuid4 + +from app.db.database import _now_iso, get_connection + + +@dataclass +class UploadRecord: + id: str + original_filename: str + stored_filename: str + file_path: str + file_size: int + content_type: str | None + created_at: str + + +@dataclass +class ProcessingJobRecord: + id: str + upload_id: str + job_type: str + status: str + output_path: str | None + parameters: dict[str, Any] + error_message: str | None + progress: int + current_frame: int + total_frames: int + created_at: str + completed_at: str | None + original_filename: str | None = None + + +def create_upload( + *, + original_filename: str, + stored_filename: str, + file_path: Path, + file_size: int, + content_type: str | None, +) -> UploadRecord: + """Insert an upload record and return it.""" + upload_id = uuid4().hex + created_at = _now_iso() + record = UploadRecord( + id=upload_id, + original_filename=original_filename, + stored_filename=stored_filename, + file_path=str(file_path), + file_size=file_size, + content_type=content_type, + created_at=created_at, + ) + with get_connection() as connection: + connection.execute( + """ + INSERT INTO uploads ( + id, original_filename, stored_filename, file_path, + file_size, content_type, created_at + ) VALUES (?, ?, ?, ?, ?, ?, ?) + """, + ( + record.id, + record.original_filename, + record.stored_filename, + record.file_path, + record.file_size, + record.content_type, + record.created_at, + ), + ) + connection.commit() + return record + + +def create_processing_job( + *, + upload_id: str, + job_type: str, + parameters: dict[str, Any], +) -> ProcessingJobRecord: + """Create a pending processing job.""" + job_id = uuid4().hex + created_at = _now_iso() + with get_connection() as connection: + connection.execute( + """ + INSERT INTO processing_jobs ( + id, upload_id, job_type, status, output_path, + parameters, error_message, progress, current_frame, + total_frames, created_at, completed_at + ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) + """, + ( + job_id, + upload_id, + job_type, + "processing", + None, + json.dumps(parameters, ensure_ascii=False), + None, + 0, + 0, + 0, + created_at, + None, + ), + ) + connection.commit() + return ProcessingJobRecord( + id=job_id, + upload_id=upload_id, + job_type=job_type, + status="processing", + output_path=None, + parameters=parameters, + error_message=None, + progress=0, + current_frame=0, + total_frames=0, + created_at=created_at, + completed_at=None, + ) + + +def update_job_progress( + job_id: str, + *, + progress: int, + current_frame: int, + total_frames: int, +) -> None: + """Update frame progress for a running job.""" + with get_connection() as connection: + connection.execute( + """ + UPDATE processing_jobs + SET progress = ?, current_frame = ?, total_frames = ? + WHERE id = ? + """, + ( + max(0, min(progress, 100)), + current_frame, + total_frames, + job_id, + ), + ) + connection.commit() + + +def mark_job_completed(job_id: str, output_path: Path) -> None: + """Mark a job as completed with its output file path.""" + with get_connection() as connection: + connection.execute( + """ + UPDATE processing_jobs + SET status = ?, output_path = ?, completed_at = ?, + error_message = NULL, progress = 100 + WHERE id = ? + """, + ("completed", str(output_path), _now_iso(), job_id), + ) + connection.commit() + + +def mark_job_failed(job_id: str, error_message: str) -> None: + """Mark a job as failed with an error message.""" + with get_connection() as connection: + connection.execute( + """ + UPDATE processing_jobs + SET status = ?, error_message = ?, completed_at = ? + WHERE id = ? + """, + ("failed", error_message, _now_iso(), job_id), + ) + connection.commit() + + +def list_uploads(limit: int = 50) -> list[UploadRecord]: + """Return recent upload records.""" + with get_connection() as connection: + rows = connection.execute( + """ + SELECT id, original_filename, stored_filename, file_path, + file_size, content_type, created_at + FROM uploads + ORDER BY created_at DESC + LIMIT ? + """, + (limit,), + ).fetchall() + return [UploadRecord(**dict(row)) for row in rows] + + +def get_upload(upload_id: str) -> UploadRecord | None: + """Return a single upload record by id.""" + with get_connection() as connection: + row = connection.execute( + """ + SELECT id, original_filename, stored_filename, file_path, + file_size, content_type, created_at + FROM uploads + WHERE id = ? + """, + (upload_id,), + ).fetchone() + if row is None: + return None + return UploadRecord(**dict(row)) + + +def list_processing_jobs(limit: int = 50) -> list[ProcessingJobRecord]: + """Return recent processing jobs with original filename.""" + with get_connection() as connection: + rows = connection.execute( + """ + SELECT + j.id, j.upload_id, j.job_type, j.status, j.output_path, + j.parameters, j.error_message, j.progress, j.current_frame, + j.total_frames, j.created_at, j.completed_at, + u.original_filename + FROM processing_jobs j + LEFT JOIN uploads u ON u.id = j.upload_id + ORDER BY j.created_at DESC + LIMIT ? + """, + (limit,), + ).fetchall() + return [_row_to_job(row) for row in rows] + + +def get_processing_job(job_id: str) -> ProcessingJobRecord | None: + """Return a single processing job by id.""" + with get_connection() as connection: + row = connection.execute( + """ + SELECT + j.id, j.upload_id, j.job_type, j.status, j.output_path, + j.parameters, j.error_message, j.progress, j.current_frame, + j.total_frames, j.created_at, j.completed_at, + u.original_filename + FROM processing_jobs j + LEFT JOIN uploads u ON u.id = j.upload_id + WHERE j.id = ? + """, + (job_id,), + ).fetchone() + if row is None: + return None + return _row_to_job(row) + + +def _row_to_job(row: Any) -> ProcessingJobRecord: + return ProcessingJobRecord( + id=row["id"], + upload_id=row["upload_id"], + job_type=row["job_type"], + status=row["status"], + output_path=row["output_path"], + parameters=json.loads(row["parameters"]), + error_message=row["error_message"], + progress=row["progress"], + current_frame=row["current_frame"], + total_frames=row["total_frames"], + created_at=row["created_at"], + completed_at=row["completed_at"], + original_filename=row["original_filename"], + ) diff --git a/examples/supervision-service/app/main.py b/examples/supervision-service/app/main.py new file mode 100644 index 0000000000..8b21af8d92 --- /dev/null +++ b/examples/supervision-service/app/main.py @@ -0,0 +1,62 @@ +from contextlib import asynccontextmanager +from pathlib import Path + +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware +from fastapi.staticfiles import StaticFiles + +from app.config import BASE_DIR +from app.db.database import init_db +from app.routers import health, records, speed, videos +from app.schemas.common import ApiInfo + + +@asynccontextmanager +async def lifespan(_: FastAPI): + init_db() + yield + + +app = FastAPI( + title="Supervision Video API", + description="Upload videos for detection and tracking powered by supervision.", + version="0.1.0", + lifespan=lifespan, +) + +app.add_middleware( + CORSMiddleware, + allow_origins=[ + "http://127.0.0.1:5173", + "http://localhost:5173", + "http://127.0.0.1:8000", + "http://localhost:8000", + ], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +app.include_router(health.router) +app.include_router(videos.router) +app.include_router(speed.router) +app.include_router(records.router) + + +@app.get("/api/info", response_model=ApiInfo) +def api_info() -> ApiInfo: + """Return API metadata and documentation links.""" + return ApiInfo( + message="Supervision Video API", + docs="/docs", + health="/health", + ) + + +WEBAPP_DIST = BASE_DIR / "webapp" / "dist" +if WEBAPP_DIST.is_dir(): + app.mount( + "/", + StaticFiles(directory=str(WEBAPP_DIST), html=True), + name="frontend", + ) diff --git a/examples/supervision-service/app/routers/__init__.py b/examples/supervision-service/app/routers/__init__.py new file mode 100644 index 0000000000..fb0a2f8082 --- /dev/null +++ b/examples/supervision-service/app/routers/__init__.py @@ -0,0 +1 @@ +"""API route modules.""" diff --git a/examples/supervision-service/app/routers/health.py b/examples/supervision-service/app/routers/health.py new file mode 100644 index 0000000000..283750a5a7 --- /dev/null +++ b/examples/supervision-service/app/routers/health.py @@ -0,0 +1,11 @@ +from fastapi import APIRouter + +from app.schemas.common import HealthResponse + +router = APIRouter(tags=["health"]) + + +@router.get("/health", response_model=HealthResponse) +def health_check() -> HealthResponse: + """Return service health status.""" + return HealthResponse(status="ok") diff --git a/examples/supervision-service/app/routers/records.py b/examples/supervision-service/app/routers/records.py new file mode 100644 index 0000000000..0b40301e87 --- /dev/null +++ b/examples/supervision-service/app/routers/records.py @@ -0,0 +1,102 @@ +from pathlib import Path +from typing import Annotated + +from fastapi import APIRouter, HTTPException, Query +from fastapi.responses import FileResponse + +from app.db.repository import ( + get_processing_job, + get_upload, + list_processing_jobs, + list_uploads, +) +from app.schemas.records import ( + ProcessingJobListResponse, + ProcessingJobResponse, + UploadListResponse, + UploadResponse, +) + +router = APIRouter(prefix="/api/v1/records", tags=["records"]) + + +def _to_upload_response(record: object) -> UploadResponse: + return UploadResponse.model_validate(record.__dict__) + + +def _to_job_response(record: object) -> ProcessingJobResponse: + return ProcessingJobResponse.model_validate(record.__dict__) + + +@router.get("/uploads", response_model=UploadListResponse) +def get_upload_records( + limit: Annotated[int, Query(ge=1, le=200)] = 50, +) -> UploadListResponse: + """List stored upload records.""" + items = [_to_upload_response(record) for record in list_uploads(limit=limit)] + return UploadListResponse(items=items, total=len(items)) + + +@router.get("/uploads/{upload_id}", response_model=UploadResponse) +def get_upload_record(upload_id: str) -> UploadResponse: + """Return a single upload record.""" + record = get_upload(upload_id) + if record is None: + raise HTTPException(status_code=404, detail="Upload record not found.") + return _to_upload_response(record) + + +@router.get("/uploads/{upload_id}/file") +def download_upload_file(upload_id: str) -> FileResponse: + """Download the original uploaded video file.""" + record = get_upload(upload_id) + if record is None: + raise HTTPException(status_code=404, detail="Upload record not found.") + + file_path = Path(record.file_path) + if not file_path.is_file(): + raise HTTPException(status_code=404, detail="Upload file not found on disk.") + + return FileResponse( + path=file_path, + media_type=record.content_type or "video/mp4", + filename=record.original_filename, + ) + + +@router.get("/jobs", response_model=ProcessingJobListResponse) +def get_processing_jobs( + limit: Annotated[int, Query(ge=1, le=200)] = 50, +) -> ProcessingJobListResponse: + """List video processing job records.""" + items = [_to_job_response(record) for record in list_processing_jobs(limit=limit)] + return ProcessingJobListResponse(items=items, total=len(items)) + + +@router.get("/jobs/{job_id}", response_model=ProcessingJobResponse) +def get_processing_job_record(job_id: str) -> ProcessingJobResponse: + """Return a single processing job record.""" + record = get_processing_job(job_id) + if record is None: + raise HTTPException(status_code=404, detail="Processing job not found.") + return _to_job_response(record) + + +@router.get("/jobs/{job_id}/file") +def download_job_result(job_id: str) -> FileResponse: + """Download the processed output video for a job.""" + record = get_processing_job(job_id) + if record is None: + raise HTTPException(status_code=404, detail="Processing job not found.") + if record.status != "completed" or not record.output_path: + raise HTTPException(status_code=404, detail="Processed file is not available.") + + file_path = Path(record.output_path) + if not file_path.is_file(): + raise HTTPException(status_code=404, detail="Processed file not found on disk.") + + return FileResponse( + path=file_path, + media_type="video/mp4", + filename=file_path.name, + ) diff --git a/examples/supervision-service/app/routers/speed.py b/examples/supervision-service/app/routers/speed.py new file mode 100644 index 0000000000..a8b55ed23e --- /dev/null +++ b/examples/supervision-service/app/routers/speed.py @@ -0,0 +1,85 @@ +import json +from pathlib import Path +from typing import Annotated + +from fastapi import APIRouter, BackgroundTasks, File, Form, HTTPException, UploadFile +from pydantic import BaseModel, Field, ValidationError + +from app.config import DEFAULT_CONFIDENCE, DEFAULT_IOU +from app.db.repository import create_processing_job +from app.schemas.records import JobCreatedResponse +from app.services.job_runner import run_speed_job +from app.services.upload_service import save_upload_file + +router = APIRouter(prefix="/api/v1/videos", tags=["speed"]) + + +class SourcePoint(BaseModel): + """A single calibration point in video pixel coordinates.""" + + x: int = Field(ge=0) + y: int = Field(ge=0) + + +class SourcePointsPayload(BaseModel): + """Four-point road surface calibration payload.""" + + points: list[SourcePoint] = Field(min_length=4, max_length=4) + + +def _parse_source_points(raw_points: str) -> list[list[int]]: + try: + payload = SourcePointsPayload.model_validate({"points": json.loads(raw_points)}) + except (json.JSONDecodeError, ValidationError, TypeError) as exc: + raise HTTPException( + status_code=400, + detail="source_points must be JSON with exactly four {x, y} objects.", + ) from exc + + return [[point.x, point.y] for point in payload.points] + + +@router.post("/speed-estimate", response_model=JobCreatedResponse, status_code=202) +def speed_estimate_video( + background_tasks: BackgroundTasks, + file: Annotated[UploadFile, File(description="Input video file")], + source_points: Annotated[ + str, + Form(description='JSON array of four points, e.g. [{"x":1,"y":2}, ...]'), + ], + target_width: Annotated[float, Form(gt=0, description="Road width in meters")], + target_height: Annotated[float, Form(gt=0, description="Road length in meters")], + confidence_threshold: Annotated[float, Form(ge=0.0, le=1.0)] = DEFAULT_CONFIDENCE, + iou_threshold: Annotated[float, Form(ge=0.0, le=1.0)] = DEFAULT_IOU, +) -> JobCreatedResponse: + """Submit a speed estimation job and process it in the background.""" + try: + upload_record = save_upload_file(file) + except ValueError as exc: + raise HTTPException(status_code=400, detail=str(exc)) from exc + + parsed_points = _parse_source_points(source_points) + job = create_processing_job( + upload_id=upload_record.id, + job_type="speed", + parameters={ + "source_points": parsed_points, + "target_width": target_width, + "target_height": target_height, + "confidence_threshold": confidence_threshold, + "iou_threshold": iou_threshold, + }, + ) + + background_tasks.add_task( + run_speed_job, + job.id, + Path(upload_record.file_path), + parsed_points, + target_width, + target_height, + confidence_threshold, + iou_threshold, + ) + + return JobCreatedResponse(job_id=job.id, upload_id=upload_record.id) diff --git a/examples/supervision-service/app/routers/videos.py b/examples/supervision-service/app/routers/videos.py new file mode 100644 index 0000000000..691053eba8 --- /dev/null +++ b/examples/supervision-service/app/routers/videos.py @@ -0,0 +1,45 @@ +from pathlib import Path +from typing import Annotated + +from fastapi import APIRouter, BackgroundTasks, File, Form, HTTPException, UploadFile + +from app.config import DEFAULT_CONFIDENCE, DEFAULT_IOU +from app.db.repository import create_processing_job +from app.schemas.records import JobCreatedResponse +from app.services.job_runner import run_track_job +from app.services.upload_service import save_upload_file + +router = APIRouter(prefix="/api/v1/videos", tags=["videos"]) + + +@router.post("/track", response_model=JobCreatedResponse, status_code=202) +def track_uploaded_video( + background_tasks: BackgroundTasks, + file: Annotated[UploadFile, File(description="Input video file (mp4, mov, avi, etc.)")], + confidence_threshold: Annotated[float, Form(ge=0.0, le=1.0)] = DEFAULT_CONFIDENCE, + iou_threshold: Annotated[float, Form(ge=0.0, le=1.0)] = DEFAULT_IOU, +) -> JobCreatedResponse: + """Submit a tracking job and process it in the background.""" + try: + upload_record = save_upload_file(file) + except ValueError as exc: + raise HTTPException(status_code=400, detail=str(exc)) from exc + + job = create_processing_job( + upload_id=upload_record.id, + job_type="track", + parameters={ + "confidence_threshold": confidence_threshold, + "iou_threshold": iou_threshold, + }, + ) + + background_tasks.add_task( + run_track_job, + job.id, + Path(upload_record.file_path), + confidence_threshold, + iou_threshold, + ) + + return JobCreatedResponse(job_id=job.id, upload_id=upload_record.id) diff --git a/examples/supervision-service/app/schemas/__init__.py b/examples/supervision-service/app/schemas/__init__.py new file mode 100644 index 0000000000..9635ebc9c8 --- /dev/null +++ b/examples/supervision-service/app/schemas/__init__.py @@ -0,0 +1,3 @@ +from app.schemas.common import ApiInfo, HealthResponse + +__all__ = ["ApiInfo", "HealthResponse"] diff --git a/examples/supervision-service/app/schemas/common.py b/examples/supervision-service/app/schemas/common.py new file mode 100644 index 0000000000..9ed21685e3 --- /dev/null +++ b/examples/supervision-service/app/schemas/common.py @@ -0,0 +1,15 @@ +from pydantic import BaseModel, Field + + +class HealthResponse(BaseModel): + """Health check response.""" + + status: str = Field(examples=["ok"]) + + +class ApiInfo(BaseModel): + """Root endpoint metadata.""" + + message: str + docs: str + health: str diff --git a/examples/supervision-service/app/schemas/records.py b/examples/supervision-service/app/schemas/records.py new file mode 100644 index 0000000000..9bf384d99d --- /dev/null +++ b/examples/supervision-service/app/schemas/records.py @@ -0,0 +1,55 @@ +from typing import Any + +from pydantic import BaseModel, Field + + +class UploadResponse(BaseModel): + """Stored upload record.""" + + id: str + original_filename: str + stored_filename: str + file_path: str + file_size: int + content_type: str | None + created_at: str + + +class ProcessingJobResponse(BaseModel): + """Processing job record.""" + + id: str + upload_id: str + job_type: str + status: str + output_path: str | None + parameters: dict[str, Any] + error_message: str | None + progress: int = Field(ge=0, le=100) + current_frame: int = Field(ge=0) + total_frames: int = Field(ge=0) + created_at: str + completed_at: str | None + original_filename: str | None = None + + +class JobCreatedResponse(BaseModel): + """Response after submitting an async processing job.""" + + job_id: str + upload_id: str + status: str = "processing" + + +class UploadListResponse(BaseModel): + """Paginated upload list.""" + + items: list[UploadResponse] + total: int = Field(description="Number of items returned") + + +class ProcessingJobListResponse(BaseModel): + """Paginated processing job list.""" + + items: list[ProcessingJobResponse] + total: int = Field(description="Number of items returned") diff --git a/examples/supervision-service/app/services/__init__.py b/examples/supervision-service/app/services/__init__.py new file mode 100644 index 0000000000..d093179777 --- /dev/null +++ b/examples/supervision-service/app/services/__init__.py @@ -0,0 +1,3 @@ +from app.services.video_processor import build_output_path, track_video + +__all__ = ["build_output_path", "track_video"] diff --git a/examples/supervision-service/app/services/job_runner.py b/examples/supervision-service/app/services/job_runner.py new file mode 100644 index 0000000000..cf3b2c457f --- /dev/null +++ b/examples/supervision-service/app/services/job_runner.py @@ -0,0 +1,73 @@ +from pathlib import Path + +from app.config import DEFAULT_CONFIDENCE, DEFAULT_IOU, DEFAULT_SPEED_WEIGHTS, DEFAULT_WEIGHTS +from app.db.repository import mark_job_completed, mark_job_failed, update_job_progress +from app.services.speed_processor import build_speed_output_path, estimate_speed_video +from app.services.video_processor import build_output_path, track_video + + +def _make_progress_callback(job_id: str): + def callback(current_frame: int, total_frames: int) -> None: + if total_frames <= 0: + return + frame_progress = int(current_frame / total_frames * 95) + update_job_progress( + job_id, + progress=min(frame_progress, 95), + current_frame=current_frame, + total_frames=total_frames, + ) + + return callback + + +def run_track_job( + job_id: str, + source_video_path: Path, + confidence_threshold: float = DEFAULT_CONFIDENCE, + iou_threshold: float = DEFAULT_IOU, +) -> None: + """Run tracking in background and update job progress.""" + output_path = build_output_path("tracked") + try: + track_video( + source_video_path=source_video_path, + target_video_path=output_path, + weights_path=DEFAULT_WEIGHTS, + confidence_threshold=confidence_threshold, + iou_threshold=iou_threshold, + on_progress=_make_progress_callback(job_id), + ) + update_job_progress(job_id, progress=99, current_frame=0, total_frames=0) + mark_job_completed(job_id, output_path) + except Exception as exc: + mark_job_failed(job_id, str(exc)) + + +def run_speed_job( + job_id: str, + source_video_path: Path, + source_points: list[list[int]], + target_width: float, + target_height: float, + confidence_threshold: float = DEFAULT_CONFIDENCE, + iou_threshold: float = DEFAULT_IOU, +) -> None: + """Run speed estimation in background and update job progress.""" + output_path = build_speed_output_path() + try: + estimate_speed_video( + source_video_path=source_video_path, + target_video_path=output_path, + source_points=source_points, + target_width=target_width, + target_height=target_height, + weights_path=DEFAULT_SPEED_WEIGHTS, + confidence_threshold=confidence_threshold, + iou_threshold=iou_threshold, + on_progress=_make_progress_callback(job_id), + ) + update_job_progress(job_id, progress=99, current_frame=0, total_frames=0) + mark_job_completed(job_id, output_path) + except Exception as exc: + mark_job_failed(job_id, str(exc)) diff --git a/examples/supervision-service/app/services/speed_processor.py b/examples/supervision-service/app/services/speed_processor.py new file mode 100644 index 0000000000..eb99ad1e4a --- /dev/null +++ b/examples/supervision-service/app/services/speed_processor.py @@ -0,0 +1,207 @@ +from collections import defaultdict, deque +from collections.abc import Callable +from pathlib import Path +from uuid import uuid4 + +import cv2 +import numpy as np +from ultralytics import YOLO + +import supervision as sv + +from app.config import DEFAULT_CONFIDENCE, DEFAULT_IOU, DEFAULT_SPEED_WEIGHTS, OUTPUT_DIR +from app.services.video_encoding import ensure_browser_playable + +ProgressCallback = Callable[[int, int], None] + + +class ViewTransformer: + def __init__(self, source: np.ndarray, target: np.ndarray) -> None: + source = source.astype(np.float32) + target = target.astype(np.float32) + self.m = cv2.getPerspectiveTransform(source, target) + + def transform_points(self, points: np.ndarray) -> np.ndarray: + if points.size == 0: + return points + + reshaped_points = points.reshape(-1, 1, 2).astype(np.float32) + transformed_points = cv2.perspectiveTransform(reshaped_points, self.m) + return transformed_points.reshape(-1, 2) + + +def build_target_array(target_width: float, target_height: float) -> np.ndarray: + """Build the bird's-eye target quadrilateral for perspective transform. + + Args: + target_width: Real-world width of the calibrated road section in meters. + target_height: Real-world length of the calibrated road section in meters. + + Returns: + Target corner coordinates for OpenCV perspective transform. + + Examples: + >>> arr = build_target_array(25, 250) + >>> arr.shape + (4, 2) + """ + width = max(target_width, 1.0) + height = max(target_height, 1.0) + return np.array( + [ + [0, 0], + [width - 1, 0], + [width - 1, height - 1], + [0, height - 1], + ], + dtype=np.float32, + ) + + +def estimate_speed_video( + source_video_path: Path, + target_video_path: Path, + source_points: list[list[int]], + target_width: float, + target_height: float, + weights_path: Path = DEFAULT_SPEED_WEIGHTS, + confidence_threshold: float = DEFAULT_CONFIDENCE, + iou_threshold: float = DEFAULT_IOU, + on_progress: ProgressCallback | None = None, +) -> Path: + """Estimate vehicle speeds and write an annotated output video. + + Args: + source_video_path: Input video path. + target_video_path: Output annotated video path. + source_points: Four [x, y] points defining the road surface quadrilateral. + target_width: Real-world width of the calibrated section in meters. + target_height: Real-world length of the calibrated section in meters. + weights_path: YOLO weights path. + confidence_threshold: Detection confidence threshold. + iou_threshold: Detection IOU threshold. + + Returns: + Path to the annotated output video. + + Examples: + >>> points = [[0, 0], [100, 0], [100, 100], [0, 100]] + >>> estimate_speed_video(Path("in.mp4"), Path("out.mp4"), points, 25, 250) # doctest: +SKIP + PosixPath('out.mp4') + """ + if len(source_points) != 4: + raise ValueError("Exactly four source points are required.") + + source = np.array(source_points, dtype=np.float32) + target = build_target_array(target_width, target_height) + + video_info = sv.VideoInfo.from_video_path(str(source_video_path)) + model = YOLO(str(weights_path)) + byte_track = sv.ByteTrack( + frame_rate=video_info.fps, + track_activation_threshold=confidence_threshold, + ) + + thickness = sv.calculate_optimal_line_thickness( + resolution_wh=video_info.resolution_wh + ) + text_scale = sv.calculate_optimal_text_scale(resolution_wh=video_info.resolution_wh) + box_annotator = sv.BoxAnnotator(thickness=thickness) + label_annotator = sv.LabelAnnotator( + text_scale=text_scale, + text_thickness=thickness, + text_position=sv.Position.BOTTOM_CENTER, + ) + trace_annotator = sv.TraceAnnotator( + thickness=thickness, + trace_length=int(video_info.fps * 2), + position=sv.Position.BOTTOM_CENTER, + ) + + frame_generator = sv.get_video_frames_generator(str(source_video_path)) + polygon_zone = sv.PolygonZone(polygon=source) + view_transformer = ViewTransformer(source=source, target=target) + total_frames = video_info.total_frames + + coordinates: defaultdict[int, deque[int]] = defaultdict( + lambda: deque(maxlen=int(video_info.fps)) + ) + + target_video_path.parent.mkdir(parents=True, exist_ok=True) + + if on_progress and total_frames: + on_progress(0, total_frames) + + with sv.VideoSink(str(target_video_path), video_info) as sink: + for frame_index, frame in enumerate(frame_generator, start=1): + result = model( + frame, + verbose=False, + conf=confidence_threshold, + iou=iou_threshold, + )[0] + detections = sv.Detections.from_ultralytics(result) + detections = detections[polygon_zone.trigger(detections)] + detections = byte_track.update_with_detections(detections=detections) + + points = detections.get_anchors_coordinates( + anchor=sv.Position.BOTTOM_CENTER + ) + points = view_transformer.transform_points(points=points).astype(int) + + for tracker_id, (_, y) in zip(detections.tracker_id, points): + coordinates[tracker_id].append(y) + + labels = [] + for tracker_id in detections.tracker_id: + if len(coordinates[tracker_id]) < video_info.fps / 2: + labels.append(f"#{tracker_id}") + else: + coordinate_start = coordinates[tracker_id][-1] + coordinate_end = coordinates[tracker_id][0] + distance = abs(coordinate_start - coordinate_end) + time = len(coordinates[tracker_id]) / video_info.fps + speed = distance / time * 3.6 + labels.append(f"#{tracker_id} {int(speed)} km/h") + + annotated_frame = frame.copy() + annotated_frame = trace_annotator.annotate( + scene=annotated_frame, + detections=detections, + ) + annotated_frame = box_annotator.annotate( + scene=annotated_frame, + detections=detections, + ) + annotated_frame = label_annotator.annotate( + scene=annotated_frame, + detections=detections, + labels=labels, + ) + sink.write_frame(annotated_frame) + + if on_progress and total_frames: + on_progress(frame_index, total_frames) + + if on_progress and total_frames: + on_progress(total_frames, total_frames) + + ensure_browser_playable(target_video_path) + return target_video_path + + +def build_speed_output_path(prefix: str = "speed") -> Path: + """Create a unique output path for speed estimation results. + + Args: + prefix: Filename prefix for the output file. + + Returns: + Path under the configured output directory. + + Examples: + >>> path = build_speed_output_path() + >>> path.name.startswith("speed_") + True + """ + return OUTPUT_DIR / f"{prefix}_{uuid4().hex[:8]}.mp4" diff --git a/examples/supervision-service/app/services/upload_service.py b/examples/supervision-service/app/services/upload_service.py new file mode 100644 index 0000000000..48ab9c4cef --- /dev/null +++ b/examples/supervision-service/app/services/upload_service.py @@ -0,0 +1,40 @@ +from pathlib import Path +from uuid import uuid4 + +from fastapi import UploadFile + +from app.config import UPLOAD_DIR +from app.db.repository import UploadRecord, create_upload + + +def save_upload_file(file: UploadFile) -> UploadRecord: + """Persist an uploaded video under ``uploads/`` and store metadata. + + Args: + file: Incoming multipart upload. + + Returns: + Created upload database record. + + Raises: + ValueError: If filename is missing or file is empty. + """ + if not file.filename: + raise ValueError("Filename is required.") + + content = file.file.read() + if not content: + raise ValueError("Uploaded file is empty.") + + suffix = Path(file.filename).suffix or ".mp4" + stored_filename = f"{uuid4().hex}{suffix}" + upload_path = UPLOAD_DIR / stored_filename + upload_path.write_bytes(content) + + return create_upload( + original_filename=file.filename, + stored_filename=stored_filename, + file_path=upload_path, + file_size=len(content), + content_type=file.content_type, + ) diff --git a/examples/supervision-service/app/services/video_encoding.py b/examples/supervision-service/app/services/video_encoding.py new file mode 100644 index 0000000000..ec6c9d9ffd --- /dev/null +++ b/examples/supervision-service/app/services/video_encoding.py @@ -0,0 +1,47 @@ +import subprocess +from pathlib import Path + +import imageio_ffmpeg + + +def ensure_browser_playable(video_path: Path) -> Path: + """Transcode a video to H.264 so browsers can play it in HTML5 video. + + OpenCV VideoSink defaults to ``mp4v``, which most browsers cannot decode. + This re-encodes the file in place using the bundled ffmpeg from imageio-ffmpeg. + + Args: + video_path: Path to the video file to transcode. + + Returns: + The same path, now containing a browser-compatible MP4. + + Examples: + >>> ensure_browser_playable(Path("output.mp4")) # doctest: +SKIP + PosixPath('output.mp4') + """ + temp_path = video_path.with_name(f"{video_path.stem}_web{video_path.suffix}") + ffmpeg = imageio_ffmpeg.get_ffmpeg_exe() + + subprocess.run( + [ + ffmpeg, + "-y", + "-i", + str(video_path), + "-c:v", + "libx264", + "-pix_fmt", + "yuv420p", + "-movflags", + "+faststart", + "-an", + str(temp_path), + ], + check=True, + capture_output=True, + ) + + video_path.unlink(missing_ok=True) + temp_path.rename(video_path) + return video_path diff --git a/examples/supervision-service/app/services/video_processor.py b/examples/supervision-service/app/services/video_processor.py new file mode 100644 index 0000000000..f2adefc476 --- /dev/null +++ b/examples/supervision-service/app/services/video_processor.py @@ -0,0 +1,74 @@ +from collections.abc import Callable +from pathlib import Path + +from ultralytics import YOLO + +import supervision as sv + +from app.config import DEFAULT_CONFIDENCE, DEFAULT_IOU, DEFAULT_WEIGHTS +from app.services.video_encoding import ensure_browser_playable + +ProgressCallback = Callable[[int, int], None] + + +def track_video( + source_video_path: Path, + target_video_path: Path, + weights_path: Path = DEFAULT_WEIGHTS, + confidence_threshold: float = DEFAULT_CONFIDENCE, + iou_threshold: float = DEFAULT_IOU, + on_progress: ProgressCallback | None = None, +) -> Path: + """Run YOLO detection and ByteTrack on a video file.""" + model = YOLO(str(weights_path)) + tracker = sv.ByteTrack() + box_annotator = sv.BoxAnnotator() + label_annotator = sv.LabelAnnotator() + + video_info = sv.VideoInfo.from_video_path(str(source_video_path)) + frame_generator = sv.get_video_frames_generator(str(source_video_path)) + total_frames = video_info.total_frames + + if on_progress and total_frames: + on_progress(0, total_frames) + + target_video_path.parent.mkdir(parents=True, exist_ok=True) + + with sv.VideoSink(str(target_video_path), video_info) as sink: + for frame_index, frame in enumerate(frame_generator, start=1): + results = model( + frame, + verbose=False, + conf=confidence_threshold, + iou=iou_threshold, + )[0] + detections = sv.Detections.from_ultralytics(results) + detections = tracker.update_with_detections(detections) + + annotated_frame = box_annotator.annotate( + scene=frame.copy(), + detections=detections, + ) + annotated_frame = label_annotator.annotate( + scene=annotated_frame, + detections=detections, + ) + sink.write_frame(frame=annotated_frame) + + if on_progress and total_frames: + on_progress(frame_index, total_frames) + + if on_progress and total_frames: + on_progress(total_frames, total_frames) + + ensure_browser_playable(target_video_path) + return target_video_path + + +def build_output_path(prefix: str = "tracked") -> Path: + """Create a unique output video path.""" + from uuid import uuid4 + + from app.config import OUTPUT_DIR + + return OUTPUT_DIR / f"{prefix}_{uuid4().hex[:8]}.mp4" diff --git a/examples/supervision-service/pyproject.toml b/examples/supervision-service/pyproject.toml new file mode 100644 index 0000000000..d2b2af8fc5 --- /dev/null +++ b/examples/supervision-service/pyproject.toml @@ -0,0 +1,22 @@ +[project] +name = "supervision-api" +version = "0.1.0" +description = "Video analysis API powered by supervision" +requires-python = ">=3.10" +dependencies = [ + "fastapi[standard]>=0.115.0", + "supervision", + "ultralytics", + "jsonargparse[signatures]", + "imageio-ffmpeg>=0.5", +] + +[tool.fastapi] +entrypoint = "app.main:app" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["app"] diff --git a/examples/supervision-service/webapp/.editorconfig b/examples/supervision-service/webapp/.editorconfig new file mode 100644 index 0000000000..3b510aa687 --- /dev/null +++ b/examples/supervision-service/webapp/.editorconfig @@ -0,0 +1,8 @@ +[*.{js,jsx,mjs,cjs,ts,tsx,mts,cts,vue,css,scss,sass,less,styl}] +charset = utf-8 +indent_size = 2 +indent_style = space +insert_final_newline = true +trim_trailing_whitespace = true +end_of_line = lf +max_line_length = 100 diff --git a/examples/supervision-service/webapp/.gitattributes b/examples/supervision-service/webapp/.gitattributes new file mode 100644 index 0000000000..6313b56c57 --- /dev/null +++ b/examples/supervision-service/webapp/.gitattributes @@ -0,0 +1 @@ +* text=auto eol=lf diff --git a/examples/supervision-service/webapp/.gitignore b/examples/supervision-service/webapp/.gitignore new file mode 100644 index 0000000000..cd68f14023 --- /dev/null +++ b/examples/supervision-service/webapp/.gitignore @@ -0,0 +1,39 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +.DS_Store +dist +dist-ssr +coverage +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? + +*.tsbuildinfo + +.eslintcache + +# Cypress +/cypress/videos/ +/cypress/screenshots/ + +# Vitest +__screenshots__/ + +# Vite +*.timestamp-*-*.mjs diff --git a/examples/supervision-service/webapp/.oxlintrc.json b/examples/supervision-service/webapp/.oxlintrc.json new file mode 100644 index 0000000000..d5648b966b --- /dev/null +++ b/examples/supervision-service/webapp/.oxlintrc.json @@ -0,0 +1,10 @@ +{ + "$schema": "./node_modules/oxlint/configuration_schema.json", + "plugins": ["eslint", "typescript", "unicorn", "oxc", "vue"], + "env": { + "browser": true + }, + "categories": { + "correctness": "error" + } +} diff --git a/examples/supervision-service/webapp/.prettierrc.json b/examples/supervision-service/webapp/.prettierrc.json new file mode 100644 index 0000000000..29a2402ef0 --- /dev/null +++ b/examples/supervision-service/webapp/.prettierrc.json @@ -0,0 +1,6 @@ +{ + "$schema": "https://json.schemastore.org/prettierrc", + "semi": false, + "singleQuote": true, + "printWidth": 100 +} diff --git a/examples/supervision-service/webapp/README.md b/examples/supervision-service/webapp/README.md new file mode 100644 index 0000000000..382f7d60d9 --- /dev/null +++ b/examples/supervision-service/webapp/README.md @@ -0,0 +1,48 @@ +# webapp + +This template should help get you started developing with Vue 3 in Vite. + +## Recommended IDE Setup + +[VS Code](https://code.visualstudio.com/) + [Vue (Official)](https://marketplace.visualstudio.com/items?itemName=Vue.volar) (and disable Vetur). + +## Recommended Browser Setup + +- Chromium-based browsers (Chrome, Edge, Brave, etc.): + - [Vue.js devtools](https://chromewebstore.google.com/detail/vuejs-devtools/nhdogjmejiglipccpnnnanhbledajbpd) + - [Turn on Custom Object Formatter in Chrome DevTools](http://bit.ly/object-formatters) +- Firefox: + - [Vue.js devtools](https://addons.mozilla.org/en-US/firefox/addon/vue-js-devtools/) + - [Turn on Custom Object Formatter in Firefox DevTools](https://fxdx.dev/firefox-devtools-custom-object-formatters/) + +## Type Support for `.vue` Imports in TS + +TypeScript cannot handle type information for `.vue` imports by default, so we replace the `tsc` CLI with `vue-tsc` for type checking. In editors, we need [Volar](https://marketplace.visualstudio.com/items?itemName=Vue.volar) to make the TypeScript language service aware of `.vue` types. + +## Customize configuration + +See [Vite Configuration Reference](https://vite.dev/config/). + +## Project Setup + +```sh +npm install +``` + +### Compile and Hot-Reload for Development + +```sh +npm run dev +``` + +### Type-Check, Compile and Minify for Production + +```sh +npm run build +``` + +### Lint with [ESLint](https://eslint.org/) + +```sh +npm run lint +``` diff --git a/examples/supervision-service/webapp/env.d.ts b/examples/supervision-service/webapp/env.d.ts new file mode 100644 index 0000000000..11f02fe2a0 --- /dev/null +++ b/examples/supervision-service/webapp/env.d.ts @@ -0,0 +1 @@ +/// diff --git a/examples/supervision-service/webapp/eslint.config.ts b/examples/supervision-service/webapp/eslint.config.ts new file mode 100644 index 0000000000..89fdc89a24 --- /dev/null +++ b/examples/supervision-service/webapp/eslint.config.ts @@ -0,0 +1,26 @@ +import { globalIgnores } from 'eslint/config' +import { defineConfigWithVueTs, vueTsConfigs } from '@vue/eslint-config-typescript' +import pluginVue from 'eslint-plugin-vue' +import pluginOxlint from 'eslint-plugin-oxlint' +import skipFormatting from 'eslint-config-prettier/flat' + +// To allow more languages other than `ts` in `.vue` files, uncomment the following lines: +// import { configureVueProject } from '@vue/eslint-config-typescript' +// configureVueProject({ scriptLangs: ['ts', 'tsx'] }) +// More info at https://github.com/vuejs/eslint-config-typescript/#advanced-setup + +export default defineConfigWithVueTs( + { + name: 'app/files-to-lint', + files: ['**/*.{vue,ts,mts,tsx}'], + }, + + globalIgnores(['**/dist/**', '**/dist-ssr/**', '**/coverage/**']), + + ...pluginVue.configs['flat/essential'], + vueTsConfigs.recommended, + + ...pluginOxlint.buildFromOxlintConfigFile('.oxlintrc.json'), + + skipFormatting, +) diff --git a/examples/supervision-service/webapp/index.html b/examples/supervision-service/webapp/index.html new file mode 100644 index 0000000000..9e32d407d0 --- /dev/null +++ b/examples/supervision-service/webapp/index.html @@ -0,0 +1,19 @@ + + + + + + + + + + Supervision Service + + +
+ + + diff --git a/examples/supervision-service/webapp/package-lock.json b/examples/supervision-service/webapp/package-lock.json new file mode 100644 index 0000000000..7bef1bad4c --- /dev/null +++ b/examples/supervision-service/webapp/package-lock.json @@ -0,0 +1,5062 @@ +{ + "name": "webapp", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "webapp", + "version": "0.0.0", + "dependencies": { + "vue": "^3.5.38", + "vue-router": "^5.1.0" + }, + "devDependencies": { + "@tsconfig/node24": "^24.0.4", + "@types/node": "^24.13.2", + "@vitejs/plugin-vue": "^6.0.7", + "@vue/eslint-config-typescript": "^14.8.0", + "@vue/tsconfig": "^0.9.1", + "eslint": "^10.5.0", + "eslint-config-prettier": "^10.1.8", + "eslint-plugin-oxlint": "~1.69.0", + "eslint-plugin-vue": "~10.9.2", + "jiti": "^2.7.0", + "npm-run-all2": "^9.0.2", + "oxlint": "~1.69.0", + "prettier": "3.8.4", + "typescript": "~6.0.0", + "vite": "^8.0.16", + "vite-plugin-vue-devtools": 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+ "node": "^22.18.0 || >=24.12.0" + } +} diff --git a/examples/supervision-service/webapp/public/favicon.ico b/examples/supervision-service/webapp/public/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..df36fcfb72584e00488330b560ebcf34a41c64c2 GIT binary patch literal 4286 zcmds*O-Phc6o&64GDVCEQHxsW(p4>LW*W<827=Unuo8sGpRux(DN@jWP-e29Wl%wj zY84_aq9}^Am9-cWTD5GGEo#+5Fi2wX_P*bo+xO!)p*7B;iKlbFd(U~_d(U?#hLj56 zPhFkj-|A6~Qk#@g^#D^U0XT1cu=c-vu1+SElX9NR;kzAUV(q0|dl0|%h|dI$%VICy zJnu2^L*Te9JrJMGh%-P79CL0}dq92RGU6gI{v2~|)p}sG5x0U*z<8U;Ij*hB9z?ei z@g6Xq-pDoPl=MANPiR7%172VA%r)kevtV-_5H*QJKFmd;8yA$98zCxBZYXTNZ#QFk2(TX0;Y2dt&WitL#$96|gJY=3xX zpCoi|YNzgO3R`f@IiEeSmKrPSf#h#Qd<$%Ej^RIeeYfsxhPMOG`S`Pz8q``=511zm zAm)MX5AV^5xIWPyEu7u>qYs?pn$I4nL9J!=K=SGlKLXpE<5x+2cDTXq?brj?n6sp= zphe9;_JHf40^9~}9i08r{XM$7HB!`{Ys~TK0kx<}ZQng`UPvH*11|q7&l9?@FQz;8 zx!=3<4seY*%=OlbCbcae?5^V_}*K>Uo6ZWV8mTyE^B=DKy7-sdLYkR5Z?paTgK-zyIkKjIcpyO 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jobResultUrl(jobId: string): string { + return `/api/v1/records/jobs/${jobId}/file` +} + +export async function fetchJobRecord(jobId: string): Promise { + const response = await fetch(`/api/v1/records/jobs/${jobId}`) + if (!response.ok) { + throw new Error(`Failed to load job: ${response.status}`) + } + return response.json() as Promise +} + +function sleep(ms: number): Promise { + return new Promise((resolve) => { + window.setTimeout(resolve, ms) + }) +} + +export async function pollJobUntilComplete( + jobId: string, + onProgress: (job: ProcessingJobRecord) => void, + signal?: AbortSignal, +): Promise { + while (true) { + if (signal?.aborted) { + throw new Error('任务已取消。') + } + + const job = await fetchJobRecord(jobId) + onProgress(job) + + if (job.status === 'completed') { + return job + } + if (job.status === 'failed') { + throw new Error(job.error_message ?? '处理失败。') + } + + await sleep(600) + } +} diff --git a/examples/supervision-service/webapp/src/api/records.ts b/examples/supervision-service/webapp/src/api/records.ts new file mode 100644 index 0000000000..e23bbbdb5c --- /dev/null +++ b/examples/supervision-service/webapp/src/api/records.ts @@ -0,0 +1,59 @@ +export interface UploadRecord { + id: string + original_filename: string + stored_filename: string + file_path: string + file_size: number + content_type: string | null + created_at: string +} + +export interface ProcessingJobRecord { + id: string + upload_id: string + job_type: string + status: string + output_path: string | null + parameters: Record + error_message: string | null + progress: number + current_frame: number + total_frames: number + created_at: string + completed_at: string | null + original_filename: string | null +} + +export interface UploadListResponse { + items: UploadRecord[] + total: number +} + +export interface ProcessingJobListResponse { + items: ProcessingJobRecord[] + total: number +} + +export async function fetchUploadRecords(limit = 50): Promise { + const response = await fetch(`/api/v1/records/uploads?limit=${limit}`) + if (!response.ok) { + throw new Error(`Failed to load upload records: ${response.status}`) + } + return response.json() as Promise +} + +export async function fetchJobRecords(limit = 50): Promise { + const response = await fetch(`/api/v1/records/jobs?limit=${limit}`) + if (!response.ok) { + throw new Error(`Failed to load job records: ${response.status}`) + } + return response.json() as Promise +} + +export function uploadFileUrl(uploadId: string): string { + return `/api/v1/records/uploads/${uploadId}/file` +} + +export function jobResultUrl(jobId: string): string { + return `/api/v1/records/jobs/${jobId}/file` +} diff --git a/examples/supervision-service/webapp/src/api/speed.ts b/examples/supervision-service/webapp/src/api/speed.ts new file mode 100644 index 0000000000..d940e5c8ae --- /dev/null +++ b/examples/supervision-service/webapp/src/api/speed.ts @@ -0,0 +1,75 @@ +import { jobResultUrl, pollJobUntilComplete } from '@/api/jobs' + +export interface SourcePoint { + x: number + y: number +} + +export interface SpeedEstimateOptions { + file: File + sourcePoints: SourcePoint[] + targetWidth: number + targetHeight: number + confidenceThreshold?: number + iouThreshold?: number + onProgress?: (progress: number, currentFrame: number, totalFrames: number) => void + signal?: AbortSignal +} + +export interface SpeedEstimateResult { + jobId: string + resultUrl: string +} + +export async function estimateSpeed({ + file, + sourcePoints, + targetWidth, + targetHeight, + confidenceThreshold = 0.3, + iouThreshold = 0.7, + onProgress, + signal, +}: SpeedEstimateOptions): Promise { + const formData = new FormData() + formData.append('file', file) + formData.append('source_points', JSON.stringify(sourcePoints)) + formData.append('target_width', String(targetWidth)) + formData.append('target_height', String(targetHeight)) + formData.append('confidence_threshold', String(confidenceThreshold)) + formData.append('iou_threshold', String(iouThreshold)) + + const response = await fetch('/api/v1/videos/speed-estimate', { + method: 'POST', + body: formData, + signal, + }) + + if (!response.ok) { + let detail = `Request failed: ${response.status}` + try { + const payload = (await response.json()) as { detail?: string } + if (payload.detail) { + detail = payload.detail + } + } catch { + // ignore JSON parse errors + } + throw new Error(detail) + } + + const created = (await response.json()) as { job_id: string } + + await pollJobUntilComplete( + created.job_id, + (job) => { + onProgress?.(job.progress, job.current_frame, job.total_frames) + }, + signal, + ) + + return { + jobId: created.job_id, + resultUrl: jobResultUrl(created.job_id), + } +} diff --git a/examples/supervision-service/webapp/src/api/video.ts b/examples/supervision-service/webapp/src/api/video.ts new file mode 100644 index 0000000000..bdbda6e27a --- /dev/null +++ b/examples/supervision-service/webapp/src/api/video.ts @@ -0,0 +1,73 @@ +import { jobResultUrl, pollJobUntilComplete } from '@/api/jobs' + +export interface HealthResponse { + status: string +} + +export interface TrackVideoOptions { + file: File + confidenceThreshold?: number + iouThreshold?: number + onProgress?: (progress: number, currentFrame: number, totalFrames: number) => void + signal?: AbortSignal +} + +export interface TrackVideoResult { + jobId: string + resultUrl: string +} + +export async function fetchHealth(): Promise { + const response = await fetch('/health') + if (!response.ok) { + throw new Error(`Health check failed: ${response.status}`) + } + return response.json() as Promise +} + +export async function trackVideo({ + file, + confidenceThreshold = 0.3, + iouThreshold = 0.7, + onProgress, + signal, +}: TrackVideoOptions): Promise { + const formData = new FormData() + formData.append('file', file) + formData.append('confidence_threshold', String(confidenceThreshold)) + formData.append('iou_threshold', String(iouThreshold)) + + const response = await fetch('/api/v1/videos/track', { + method: 'POST', + body: formData, + signal, + }) + + if (!response.ok) { + let detail = `Request failed: ${response.status}` + try { + const payload = (await response.json()) as { detail?: string } + if (payload.detail) { + detail = payload.detail + } + } catch { + // ignore JSON parse errors + } + throw new Error(detail) + } + + const created = (await response.json()) as { job_id: string } + + await pollJobUntilComplete( + created.job_id, + (job) => { + onProgress?.(job.progress, job.current_frame, job.total_frames) + }, + signal, + ) + + return { + jobId: created.job_id, + resultUrl: jobResultUrl(created.job_id), + } +} diff --git a/examples/supervision-service/webapp/src/assets/base.css b/examples/supervision-service/webapp/src/assets/base.css new file mode 100644 index 0000000000..8816868a41 --- /dev/null +++ b/examples/supervision-service/webapp/src/assets/base.css @@ -0,0 +1,86 @@ +/* color palette from */ +:root { + --vt-c-white: #ffffff; + --vt-c-white-soft: #f8f8f8; + --vt-c-white-mute: #f2f2f2; + + --vt-c-black: #181818; + --vt-c-black-soft: #222222; + --vt-c-black-mute: #282828; + + --vt-c-indigo: #2c3e50; + + --vt-c-divider-light-1: rgba(60, 60, 60, 0.29); + --vt-c-divider-light-2: rgba(60, 60, 60, 0.12); + --vt-c-divider-dark-1: rgba(84, 84, 84, 0.65); + --vt-c-divider-dark-2: rgba(84, 84, 84, 0.48); + + --vt-c-text-light-1: var(--vt-c-indigo); + --vt-c-text-light-2: rgba(60, 60, 60, 0.66); + --vt-c-text-dark-1: var(--vt-c-white); + --vt-c-text-dark-2: rgba(235, 235, 235, 0.64); +} + +/* semantic color variables for this project */ +:root { + --color-background: var(--vt-c-white); + --color-background-soft: var(--vt-c-white-soft); + --color-background-mute: var(--vt-c-white-mute); + + --color-border: var(--vt-c-divider-light-2); + --color-border-hover: var(--vt-c-divider-light-1); + + --color-heading: var(--vt-c-text-light-1); + --color-text: var(--vt-c-text-light-1); + + --section-gap: 160px; +} + +@media (prefers-color-scheme: dark) { + :root { + --color-background: var(--vt-c-black); + --color-background-soft: var(--vt-c-black-soft); + --color-background-mute: var(--vt-c-black-mute); + + --color-border: var(--vt-c-divider-dark-2); + --color-border-hover: var(--vt-c-divider-dark-1); + + --color-heading: var(--vt-c-text-dark-1); + --color-text: var(--vt-c-text-dark-2); + } +} + +*, +*::before, +*::after { + box-sizing: border-box; + margin: 0; + font-weight: normal; +} + +body { + min-height: 100vh; + color: var(--color-text); + background: var(--color-background); + transition: + color 0.5s, + background-color 0.5s; + line-height: 1.6; + font-family: + Inter, + -apple-system, + BlinkMacSystemFont, + 'Segoe UI', + Roboto, + Oxygen, + Ubuntu, + Cantarell, + 'Fira Sans', + 'Droid Sans', + 'Helvetica Neue', + sans-serif; + font-size: 15px; + text-rendering: optimizeLegibility; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; +} diff --git a/examples/supervision-service/webapp/src/assets/global.css b/examples/supervision-service/webapp/src/assets/global.css new file mode 100644 index 0000000000..4c5dc550bc --- /dev/null +++ b/examples/supervision-service/webapp/src/assets/global.css @@ -0,0 +1,63 @@ +:root { + --bg-base: #0d1014; + --bg-panel: #151a22; + --bg-elevated: #1c2330; + --line: rgba(245, 197, 24, 0.16); + --marking: #f5c518; + --accent: #ff6b2c; + --text: #e6edf3; + --text-muted: #8b949e; + --success: #3dd68c; + --danger: #ff8a80; + --sidebar-width: 240px; +} + +*, +*::before, +*::after { + box-sizing: border-box; +} + +html, +body, +#app { + min-height: 100%; +} + +body { + margin: 0; + color: var(--text); + background: var(--bg-base); + font-family: 'IBM Plex Sans', sans-serif; + font-size: 15px; + line-height: 1.6; + -webkit-font-smoothing: antialiased; +} + +a { + color: inherit; +} + +button, +input, +select, +textarea { + font: inherit; +} + +button:focus-visible, +a:focus-visible, +input:focus-visible { + outline: 2px solid var(--marking); + outline-offset: 2px; +} + +@media (prefers-reduced-motion: reduce) { + *, + *::before, + *::after { + animation-duration: 0.01ms !important; + animation-iteration-count: 1 !important; + transition-duration: 0.01ms !important; + } +} diff --git a/examples/supervision-service/webapp/src/assets/logo.svg b/examples/supervision-service/webapp/src/assets/logo.svg new file mode 100644 index 0000000000..7565660356 --- /dev/null +++ b/examples/supervision-service/webapp/src/assets/logo.svg @@ -0,0 +1 @@ + diff --git a/examples/supervision-service/webapp/src/assets/main.css b/examples/supervision-service/webapp/src/assets/main.css new file mode 100644 index 0000000000..36fb845b52 --- /dev/null +++ b/examples/supervision-service/webapp/src/assets/main.css @@ -0,0 +1,35 @@ +@import './base.css'; + +#app { + max-width: 1280px; + margin: 0 auto; + padding: 2rem; + font-weight: normal; +} + +a, +.green { + text-decoration: none; + color: hsla(160, 100%, 37%, 1); + transition: 0.4s; + padding: 3px; +} + +@media (hover: hover) { + a:hover { + background-color: hsla(160, 100%, 37%, 0.2); + } +} + +@media (min-width: 1024px) { + body { + display: flex; + place-items: center; + } + + #app { + display: grid; + grid-template-columns: 1fr 1fr; + padding: 0 2rem; + } +} diff --git a/examples/supervision-service/webapp/src/components/ApiStatusBadge.vue b/examples/supervision-service/webapp/src/components/ApiStatusBadge.vue new file mode 100644 index 0000000000..ffdf5a9f3d --- /dev/null +++ b/examples/supervision-service/webapp/src/components/ApiStatusBadge.vue @@ -0,0 +1,51 @@ + + + + + diff --git a/examples/supervision-service/webapp/src/components/CalibrationCanvas.vue b/examples/supervision-service/webapp/src/components/CalibrationCanvas.vue new file mode 100644 index 0000000000..78ceace705 --- /dev/null +++ b/examples/supervision-service/webapp/src/components/CalibrationCanvas.vue @@ -0,0 +1,268 @@ + + + + + diff --git a/examples/supervision-service/webapp/src/components/HelloWorld.vue b/examples/supervision-service/webapp/src/components/HelloWorld.vue new file mode 100644 index 0000000000..d174cf8e1c --- /dev/null +++ b/examples/supervision-service/webapp/src/components/HelloWorld.vue @@ -0,0 +1,41 @@ + + + + + diff --git a/examples/supervision-service/webapp/src/components/ProcessingState.vue b/examples/supervision-service/webapp/src/components/ProcessingState.vue new file mode 100644 index 0000000000..805441f8f9 --- /dev/null +++ b/examples/supervision-service/webapp/src/components/ProcessingState.vue @@ -0,0 +1,101 @@ + + + + + diff --git a/examples/supervision-service/webapp/src/components/ResultPanel.vue b/examples/supervision-service/webapp/src/components/ResultPanel.vue new file mode 100644 index 0000000000..2c56773ba9 --- /dev/null +++ b/examples/supervision-service/webapp/src/components/ResultPanel.vue @@ -0,0 +1,66 @@ + + + + + diff --git a/examples/supervision-service/webapp/src/components/TheWelcome.vue b/examples/supervision-service/webapp/src/components/TheWelcome.vue new file mode 100644 index 0000000000..8b731d918b --- /dev/null +++ b/examples/supervision-service/webapp/src/components/TheWelcome.vue @@ -0,0 +1,95 @@ + + + diff --git a/examples/supervision-service/webapp/src/components/VideoDropzone.vue b/examples/supervision-service/webapp/src/components/VideoDropzone.vue new file mode 100644 index 0000000000..c23630ea90 --- /dev/null +++ b/examples/supervision-service/webapp/src/components/VideoDropzone.vue @@ -0,0 +1,80 @@ + + + + + diff --git a/examples/supervision-service/webapp/src/components/WelcomeItem.vue b/examples/supervision-service/webapp/src/components/WelcomeItem.vue new file mode 100644 index 0000000000..6d7086aea0 --- /dev/null +++ b/examples/supervision-service/webapp/src/components/WelcomeItem.vue @@ -0,0 +1,87 @@ + + + diff --git a/examples/supervision-service/webapp/src/components/icons/IconCommunity.vue b/examples/supervision-service/webapp/src/components/icons/IconCommunity.vue new file mode 100644 index 0000000000..2dc8b05525 --- /dev/null +++ b/examples/supervision-service/webapp/src/components/icons/IconCommunity.vue @@ -0,0 +1,7 @@ + diff --git a/examples/supervision-service/webapp/src/components/icons/IconDocumentation.vue b/examples/supervision-service/webapp/src/components/icons/IconDocumentation.vue new file mode 100644 index 0000000000..6d4791cfbc --- /dev/null +++ b/examples/supervision-service/webapp/src/components/icons/IconDocumentation.vue @@ -0,0 +1,7 @@ + diff --git a/examples/supervision-service/webapp/src/components/icons/IconEcosystem.vue b/examples/supervision-service/webapp/src/components/icons/IconEcosystem.vue new file mode 100644 index 0000000000..c3a4f078c0 --- /dev/null +++ b/examples/supervision-service/webapp/src/components/icons/IconEcosystem.vue @@ -0,0 +1,7 @@ + diff --git a/examples/supervision-service/webapp/src/components/icons/IconSupport.vue b/examples/supervision-service/webapp/src/components/icons/IconSupport.vue new file mode 100644 index 0000000000..7452834d3e --- /dev/null +++ b/examples/supervision-service/webapp/src/components/icons/IconSupport.vue @@ -0,0 +1,7 @@ + diff --git a/examples/supervision-service/webapp/src/components/icons/IconTooling.vue b/examples/supervision-service/webapp/src/components/icons/IconTooling.vue new file mode 100644 index 0000000000..660598d7c7 --- /dev/null +++ b/examples/supervision-service/webapp/src/components/icons/IconTooling.vue @@ -0,0 +1,19 @@ + + diff --git a/examples/supervision-service/webapp/src/composables/useApiHealth.ts b/examples/supervision-service/webapp/src/composables/useApiHealth.ts new file mode 100644 index 0000000000..1d957d67c9 --- /dev/null +++ b/examples/supervision-service/webapp/src/composables/useApiHealth.ts @@ -0,0 +1,31 @@ +import { onMounted, onUnmounted, ref } from 'vue' + +import { fetchHealth } from '@/api/video' + +export function useApiHealth(pollMs = 15000) { + const status = ref<'loading' | 'online' | 'offline'>('loading') + let timer: ReturnType | undefined + + async function refresh() { + status.value = 'loading' + try { + const health = await fetchHealth() + status.value = health.status === 'ok' ? 'online' : 'offline' + } catch { + status.value = 'offline' + } + } + + onMounted(() => { + void refresh() + timer = setInterval(() => void refresh(), pollMs) + }) + + onUnmounted(() => { + if (timer) { + clearInterval(timer) + } + }) + + return { status, refresh } +} diff --git a/examples/supervision-service/webapp/src/composables/useVideoFile.ts b/examples/supervision-service/webapp/src/composables/useVideoFile.ts new file mode 100644 index 0000000000..4c17d2d062 --- /dev/null +++ b/examples/supervision-service/webapp/src/composables/useVideoFile.ts @@ -0,0 +1,42 @@ +import { computed, ref } from 'vue' + +export function useVideoFile() { + const file = ref(null) + const previewUrl = ref('') + + const fileMeta = computed(() => { + if (!file.value) { + return null + } + const sizeMb = (file.value.size / (1024 * 1024)).toFixed(2) + return { + name: file.value.name, + sizeMb, + type: file.value.type || 'video/*', + } + }) + + function setFile(next: File | null) { + if (previewUrl.value) { + URL.revokeObjectURL(previewUrl.value) + previewUrl.value = '' + } + file.value = next + if (next) { + previewUrl.value = URL.createObjectURL(next) + } + } + + function clear() { + setFile(null) + } + + function revoke() { + if (previewUrl.value) { + URL.revokeObjectURL(previewUrl.value) + previewUrl.value = '' + } + } + + return { file, previewUrl, fileMeta, setFile, clear, revoke } +} diff --git a/examples/supervision-service/webapp/src/layouts/AppLayout.vue b/examples/supervision-service/webapp/src/layouts/AppLayout.vue new file mode 100644 index 0000000000..813fc0b4dc --- /dev/null +++ b/examples/supervision-service/webapp/src/layouts/AppLayout.vue @@ -0,0 +1,180 @@ + + + + + diff --git a/examples/supervision-service/webapp/src/main.ts b/examples/supervision-service/webapp/src/main.ts new file mode 100644 index 0000000000..4a1e9e6585 --- /dev/null +++ b/examples/supervision-service/webapp/src/main.ts @@ -0,0 +1,8 @@ +import './assets/global.css' + +import { createApp } from 'vue' + +import App from './App.vue' +import router from './router' + +createApp(App).use(router).mount('#app') diff --git a/examples/supervision-service/webapp/src/router/index.ts b/examples/supervision-service/webapp/src/router/index.ts new file mode 100644 index 0000000000..82e9f747af --- /dev/null +++ b/examples/supervision-service/webapp/src/router/index.ts @@ -0,0 +1,25 @@ +import { createRouter, createWebHistory } from 'vue-router' + +import AppLayout from '@/layouts/AppLayout.vue' +import DashboardView from '@/views/DashboardView.vue' +import HistoryView from '@/views/HistoryView.vue' +import SpeedView from '@/views/SpeedView.vue' +import TrackView from '@/views/TrackView.vue' + +const router = createRouter({ + history: createWebHistory(import.meta.env.BASE_URL), + routes: [ + { + path: '/', + component: AppLayout, + children: [ + { path: '', name: 'dashboard', component: DashboardView }, + { path: 'track', name: 'track', component: TrackView }, + { path: 'speed', name: 'speed', component: SpeedView }, + { path: 'history', name: 'history', component: HistoryView }, + ], + }, + ], +}) + +export default router diff --git a/examples/supervision-service/webapp/src/views/DashboardView.vue b/examples/supervision-service/webapp/src/views/DashboardView.vue new file mode 100644 index 0000000000..b11df1a430 --- /dev/null +++ b/examples/supervision-service/webapp/src/views/DashboardView.vue @@ -0,0 +1,188 @@ + + + + + diff --git a/examples/supervision-service/webapp/src/views/HistoryView.vue b/examples/supervision-service/webapp/src/views/HistoryView.vue new file mode 100644 index 0000000000..3a1fa3c4b5 --- /dev/null +++ b/examples/supervision-service/webapp/src/views/HistoryView.vue @@ -0,0 +1,469 @@ + + + + + diff --git a/examples/supervision-service/webapp/src/views/SpeedView.vue b/examples/supervision-service/webapp/src/views/SpeedView.vue new file mode 100644 index 0000000000..d9a3117467 --- /dev/null +++ b/examples/supervision-service/webapp/src/views/SpeedView.vue @@ -0,0 +1,395 @@ + + + + + diff --git a/examples/supervision-service/webapp/src/views/TrackView.vue b/examples/supervision-service/webapp/src/views/TrackView.vue new file mode 100644 index 0000000000..67543bd0bb --- /dev/null +++ b/examples/supervision-service/webapp/src/views/TrackView.vue @@ -0,0 +1,267 @@ + + + + + diff --git a/examples/supervision-service/webapp/tsconfig.app.json b/examples/supervision-service/webapp/tsconfig.app.json new file mode 100644 index 0000000000..c0f2d86707 --- /dev/null +++ b/examples/supervision-service/webapp/tsconfig.app.json @@ -0,0 +1,18 @@ +{ + "extends": "@vue/tsconfig/tsconfig.dom.json", + "include": ["env.d.ts", "src/**/*", "src/**/*.vue"], + "exclude": ["src/**/__tests__/*"], + "compilerOptions": { + // Extra safety for array and object lookups, but may have false positives. + "noUncheckedIndexedAccess": true, + + // Path mapping for cleaner imports. + "paths": { + "@/*": ["./src/*"] + }, + + // `vue-tsc --build` produces a .tsbuildinfo file for incremental type-checking. + // Specified here to keep it out of the root directory. + "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.app.tsbuildinfo" + } +} diff --git a/examples/supervision-service/webapp/tsconfig.json b/examples/supervision-service/webapp/tsconfig.json new file mode 100644 index 0000000000..66b5e5703e --- /dev/null +++ b/examples/supervision-service/webapp/tsconfig.json @@ -0,0 +1,11 @@ +{ + "files": [], + "references": [ + { + "path": "./tsconfig.node.json" + }, + { + "path": "./tsconfig.app.json" + } + ] +} diff --git a/examples/supervision-service/webapp/tsconfig.node.json b/examples/supervision-service/webapp/tsconfig.node.json new file mode 100644 index 0000000000..c9b2badc95 --- /dev/null +++ b/examples/supervision-service/webapp/tsconfig.node.json @@ -0,0 +1,27 @@ +// TSConfig for modules that run in Node.js environment via either transpilation or type-stripping. +{ + "extends": "@tsconfig/node24/tsconfig.json", + "include": [ + "vite.config.*", + "vitest.config.*", + "cypress.config.*", + "playwright.config.*", + "eslint.config.*" + ], + "compilerOptions": { + // Most tools use transpilation instead of Node.js's native type-stripping. + // Bundler mode provides a smoother developer experience. + "module": "preserve", + "moduleResolution": "bundler", + + // Include Node.js types and avoid accidentally including other `@types/*` packages. + "types": ["node"], + + // Disable emitting output during `vue-tsc --build`, which is used for type-checking only. + "noEmit": true, + + // `vue-tsc --build` produces a .tsbuildinfo file for incremental type-checking. + // Specified here to keep it out of the root directory. + "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.node.tsbuildinfo" + } +} diff --git a/examples/supervision-service/webapp/vite.config.ts b/examples/supervision-service/webapp/vite.config.ts new file mode 100644 index 0000000000..4173f648a3 --- /dev/null +++ b/examples/supervision-service/webapp/vite.config.ts @@ -0,0 +1,23 @@ +import { fileURLToPath, URL } from 'node:url' + +import { defineConfig } from 'vite' +import vue from '@vitejs/plugin-vue' +import vueDevTools from 'vite-plugin-vue-devtools' + +// https://vite.dev/config/ +export default defineConfig({ + plugins: [vue(), vueDevTools()], + resolve: { + alias: { + '@': fileURLToPath(new URL('./src', import.meta.url)), + }, + }, + server: { + proxy: { + '/api': 'http://127.0.0.1:8000', + '/health': 'http://127.0.0.1:8000', + '/docs': 'http://127.0.0.1:8000', + '/openapi.json': 'http://127.0.0.1:8000', + }, + }, +})