2ff9c2b0bb
- 添加完整的项目文档（README.md, design.md, CLAUDE.md） - 实现核心检测算法：ROI管理、峰值检测、帧间稳定 - 支持实时摄像头检测和视频文件处理 - 包含图像预处理：去雾、几何校正、图像增强 - 提供多种输出格式：JSON、CSV、矩阵、文本 - 实现双阈值检测算法适应雾天环境 - 添加ROI标定工具和配置文件管理 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
290 lines
9.9 KiB
Python
290 lines
9.9 KiB
Python
#!/usr/bin/env python3
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"""
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ROI标定工具
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为YantaiVisionX项目提供交互式ROI区域标定功能
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支持3排×6列共18个LED灯的ROI区域标定
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"""
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import cv2
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import numpy as np
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import yaml
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import sys
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import os
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from typing import List, Tuple, Optional, Dict, Any
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# 添加项目根目录到路径
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
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from src.roi_detection.roi_manager import ROIManager, ROIRegion
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class ROICalibrationTool:
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"""
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交互式ROI标定工具
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"""
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def __init__(self):
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self.image = None
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self.display_image = None
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self.roi_points = {} # roi_name -> center_point
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self.current_roi_name = None
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self.roi_size = (60, 60) # 默认ROI大小 (width, height)
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self.core_ratio = 0.6 # 核心区域占ROI的比例
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# 3排×6列的LED布局
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self.rows = 3
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self.cols = 6
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self.roi_names = []
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for r in range(1, self.rows + 1):
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for c in range(1, self.cols + 1):
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self.roi_names.append(f"R{r}C{c}")
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self.current_roi_index = 0
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self.window_name = "ROI标定工具"
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def load_calibration_image(self, image_path: str) -> bool:
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"""
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加载标定图像
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Args:
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image_path: 图像文件路径
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Returns:
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bool: 加载是否成功
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"""
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try:
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self.image = cv2.imread(image_path)
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if self.image is None:
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print(f"无法加载图像: {image_path}")
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return False
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self.display_image = self.image.copy()
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print(f"图像加载成功: {image_path}")
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print(f"图像尺寸: {self.image.shape[1]}x{self.image.shape[0]}")
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return True
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except Exception as e:
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print(f"加载图像失败: {e}")
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return False
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def mouse_callback(self, event, x, y, flags, param):
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"""
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鼠标事件回调函数
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"""
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if event == cv2.EVENT_LBUTTONDOWN:
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if self.current_roi_index < len(self.roi_names):
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roi_name = self.roi_names[self.current_roi_index]
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self.roi_points[roi_name] = (x, y)
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print(f"标定 {roi_name}: 中心点({x}, {y})")
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self.current_roi_index += 1
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self.update_display()
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if self.current_roi_index >= len(self.roi_names):
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print("所有ROI区域标定完成！按'S'保存，按'R'重新开始")
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def update_display(self):
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"""
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更新显示图像
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"""
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self.display_image = self.image.copy()
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# 绘制已标定的ROI
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for i, roi_name in enumerate(self.roi_names):
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if roi_name in self.roi_points:
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center_x, center_y = self.roi_points[roi_name]
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# 计算ROI矩形
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half_w = self.roi_size[0] // 2
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half_h = self.roi_size[1] // 2
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# 绘制ROI外框（蓝色）
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cv2.rectangle(self.display_image,
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(center_x - half_w, center_y - half_h),
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(center_x + half_w, center_y + half_h),
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(255, 0, 0), 2)
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# 绘制核心区域（绿色）
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core_half_w = int(half_w * self.core_ratio)
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core_half_h = int(half_h * self.core_ratio)
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cv2.rectangle(self.display_image,
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(center_x - core_half_w, center_y - core_half_h),
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(center_x + core_half_w, center_y + core_half_h),
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(0, 255, 0), 1)
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# 绘制中心点
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cv2.circle(self.display_image, (center_x, center_y), 3, (0, 0, 255), -1)
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# 添加ROI名称
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cv2.putText(self.display_image, roi_name,
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(center_x - 15, center_y - half_h - 5),
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cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 0), 1)
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# 显示当前要标定的ROI提示
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if self.current_roi_index < len(self.roi_names):
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current_roi = self.roi_names[self.current_roi_index]
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info_text = f"请点击标定 {current_roi} ({self.current_roi_index + 1}/{len(self.roi_names)})"
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cv2.putText(self.display_image, info_text, (10, 30),
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cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 255), 2)
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# 显示操作提示
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help_text = "操作: 鼠标左键-标定点 | R-重置 | S-保存 | Q-退出 | +/-调整ROI大小"
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cv2.putText(self.display_image, help_text, (10, self.image.shape[0] - 10),
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cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
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cv2.imshow(self.window_name, self.display_image)
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def adjust_roi_size(self, delta: int):
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"""
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调整ROI大小
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Args:
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delta: 尺寸变化量
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"""
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new_w = max(20, self.roi_size[0] + delta)
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new_h = max(20, self.roi_size[1] + delta)
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self.roi_size = (new_w, new_h)
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print(f"ROI大小调整为: {self.roi_size}")
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self.update_display()
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def reset_calibration(self):
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"""
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重置标定
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"""
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self.roi_points.clear()
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self.current_roi_index = 0
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print("标定已重置")
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self.update_display()
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def generate_roi_config(self) -> Dict[str, Any]:
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"""
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生成ROI配置
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Returns:
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Dict[str, Any]: ROI配置字典
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"""
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config = {
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'led_matrix': {
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'rows': self.rows,
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'cols': self.cols,
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'total_leds': self.rows * self.cols
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},
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'roi_regions': {}
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}
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for roi_name, center in self.roi_points.items():
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center_x, center_y = center
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half_w = self.roi_size[0] // 2
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half_h = self.roi_size[1] // 2
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# ROI边界框
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roi_box = (center_x - half_w, center_y - half_h,
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self.roi_size[0], self.roi_size[1])
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# 核心区域
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core_half_w = int(half_w * self.core_ratio)
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core_half_h = int(half_h * self.core_ratio)
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core_area = (center_x - core_half_w, center_y - core_half_h,
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core_half_w * 2, core_half_h * 2)
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config['roi_regions'][roi_name] = {
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'center': [center_x, center_y],
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'roi_box': list(roi_box),
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'core_area': list(core_area)
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}
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return config
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def save_roi_config(self, output_path: str = "config/roi_config.yaml") -> bool:
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"""
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保存ROI配置到文件
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Args:
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output_path: 输出文件路径
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Returns:
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bool: 保存是否成功
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"""
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if len(self.roi_points) != len(self.roi_names):
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print(f"标定未完成，只标定了{len(self.roi_points)}/{len(self.roi_names)}个ROI")
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return False
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try:
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config = self.generate_roi_config()
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# 确保目录存在
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os.makedirs(os.path.dirname(output_path), exist_ok=True)
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with open(output_path, 'w', encoding='utf-8') as f:
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yaml.dump(config, f, default_flow_style=False,
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allow_unicode=True, indent=2)
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print(f"ROI配置已保存到: {output_path}")
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return True
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except Exception as e:
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print(f"保存ROI配置失败: {e}")
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return False
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def run_calibration(self, image_path: str):
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"""
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运行标定程序
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Args:
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image_path: 标定图像路径
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"""
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if not self.load_calibration_image(image_path):
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return
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cv2.namedWindow(self.window_name, cv2.WINDOW_NORMAL)
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cv2.setMouseCallback(self.window_name, self.mouse_callback)
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print("ROI标定工具启动")
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print(f"需要标定{len(self.roi_names)}个ROI区域")
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print("按顺序点击每个LED灯的中心位置")
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print("ROI命名规则: R1C1, R1C2, ..., R3C6 (行列从1开始)")
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self.update_display()
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while True:
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key = cv2.waitKey(1) & 0xFF
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if key == ord('q') or key == 27: # Q键或ESC退出
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break
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elif key == ord('r'): # R键重置
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self.reset_calibration()
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elif key == ord('s'): # S键保存
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if self.save_roi_config():
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print("标定完成并保存成功！")
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break
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elif key == ord('+') or key == ord('='): # +键增大ROI
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self.adjust_roi_size(5)
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elif key == ord('-'): # -键减小ROI
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self.adjust_roi_size(-5)
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cv2.destroyAllWindows()
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def main():
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"""
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主函数
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"""
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import argparse
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parser = argparse.ArgumentParser(description="ROI标定工具")
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parser.add_argument("image", help="标定图像路径")
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parser.add_argument("-o", "--output", default="config/roi_config.yaml",
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help="输出配置文件路径")
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args = parser.parse_args()
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if not os.path.exists(args.image):
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print(f"图像文件不存在: {args.image}")
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return
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tool = ROICalibrationTool()
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tool.run_calibration(args.image)
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if __name__ == "__main__":
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main() |