技能备份 - 2026-04-15 (40个技能)

2026-04-15 18:53:15 +08:00
parent f62f14814f
commit c65fce24e4
791 changed files with 190773 additions and 0 deletions
@@ -0,0 +1,70 @@
+import Foundation
+import Vision
+import AppKit
+
+// Swift 5.9+ 可以用 CommandLine.arguments，兼容旧版本用下面的方式
+let args = ProcessInfo.processInfo.arguments
+
+guard args.count >= 2 else {
+    print("Usage: swift macvision_swift.swift <image_path>")
+    exit(1)
+}
+
+let imagePath = args[1]
+
+// 1. 加载图片
+guard let image = NSImage(contentsOfFile: imagePath) else {
+    print("❌ 无法加载图片: \(imagePath)")
+    exit(1)
+}
+
+// 2. 转换为 CGImage（Vision 需要）
+guard let tiffData = image.tiffRepresentation,
+      let cgImage = NSBitmapImageRep(data: tiffData)?.cgImage else {
+    print("❌ 无法转换图片")
+    exit(1)
+}
+
+// 3. 设置信号量等待异步完成
+let semaphore = DispatchSemaphore(value: 0)
+var results: [(text: String, confidence: Float)] = []
+
+// 4. 创建 OCR 请求
+let request = VNRecognizeTextRequest { request, error in
+    defer { semaphore.signal() }  // 关键：完成后释放信号量
+    
+    if let error = error {
+        print("❌ 识别错误：\(error)")
+        return
+    }
+    
+    guard let observations = request.results as? [VNRecognizedTextObservation] else {
+        print("❌ 无结果")
+        return
+    }
+    
+    for observation in observations {
+        guard let candidate = observation.topCandidates(1).first else { continue }
+        results.append((candidate.string, candidate.confidence))
+    }
+}
+
+// 5. 配置识别参数
+request.recognitionLanguages = ["zh-Hans", "zh-Hant", "en-US"]  // 支持中文
+request.usesLanguageCorrection = true  // 启用语言校正
+
+// 6. 执行识别
+let handler = VNImageRequestHandler(cgImage: cgImage, options: [:])
+
+do {
+    try handler.perform([request])
+    _ = semaphore.wait(timeout: .now() + 30)  // 等待最多 30 秒
+    
+    // 输出结果
+    for (text, conf) in results {
+        print("文本：\(text)")
+        print("置信度：\(String(format: "%.2f", conf * 100))%")
+    }
+} catch {
+    print("❌ 执行错误：\(error)")
+}