0ee00e6be7
Web 环境移除： - 删除 Web 相关文件：src/app.py, heartbeat.py - 用 requirements-desktop.txt 替换 requirements.txt - 更新 README.md：移除 Web 界面、部署方案等章节 - 更新技术栈说明：Streamlit → PyQt6 - 添加 usb_bundle/ 到 .gitignore Desktop 应用改进： - 重构 OCRService：使用独立 Python 线程替代 QThread - 添加主线程预加载 paddleocr 模块，修复 macOS 上卡死问题 - 新增离线 OCR 初始化模块（src/ocr_offline.py） - 新增模型准备脚本（scripts/prepare_models.py） - 新增摄像头诊断工具（scripts/camera_probe.py） 功能定位： - Desktop 应用（src/desktop.py）：实时摄像头拍照识别 - CLI 批处理（src/main.py）：批量处理目录中的图片 Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
68 lines
1.7 KiB
Python
Executable File
68 lines
1.7 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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摄像头探测脚本（用于排查 macOS/iPhone 连续互通相机无画面问题）
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用法：
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source .venv/bin/activate
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python scripts/camera_probe.py
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输出：
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- 列出 0~9 号摄像头是否可打开、是否可读到有效帧、帧尺寸与亮度均值
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"""
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from __future__ import annotations
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import sys
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def open_cap(cv2, cam_id: int):
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if sys.platform == "darwin" and hasattr(cv2, "CAP_AVFOUNDATION"):
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return cv2.VideoCapture(cam_id, cv2.CAP_AVFOUNDATION)
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return cv2.VideoCapture(cam_id)
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def main() -> int:
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import cv2 # pylint: disable=import-error
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print(f"平台: {sys.platform}")
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print(f"OpenCV: {cv2.__version__}")
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print("")
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found_any = False
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for cam_id in range(10):
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cap = open_cap(cv2, cam_id)
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opened = cap.isOpened()
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ok = False
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shape = None
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mean = None
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if opened:
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for _ in range(30):
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ret, frame = cap.read()
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if ret and frame is not None and frame.size > 0:
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ok = True
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shape = frame.shape
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mean = float(frame.mean())
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break
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cap.release()
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if opened:
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found_any = True
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status = "OK" if ok else ("打开但无画面" if opened else "无法打开")
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print(f"摄像头 {cam_id}: {status}", end="")
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if ok:
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print(f" | shape={shape} | mean={mean:.1f}")
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else:
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print("")
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if not found_any:
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print("\n未检测到可打开的摄像头。")
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else:
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print("\n如果出现“打开但无画面”，优先检查 macOS 相机权限。")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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