Add slide and rotate interactive captcha solvers

New solver subsystem with independent models:
- GapDetectorCNN (1x128x256 grayscale → sigmoid) for slide gap detection
- RotationRegressor (3x128x128 RGB → sin/cos via tanh) for rotation angle prediction
- SlideSolver with 3-tier strategy: template match → edge detect → CNN fallback
- RotateSolver with ONNX sin/cos → atan2 inference
- Generators, training scripts, CLI commands, and slide track utility

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

cli.py

@@ -13,6 +13,11 @@ CaptchaBreaker 命令行入口
     python cli.py predict image.png --type normal
     python cli.py predict-dir ./test_images/
     python cli.py serve --port 8080
+    python cli.py generate-solver slide --num 30000
+    python cli.py train-solver slide
+    python cli.py train-solver rotate
+    python cli.py solve slide --bg bg.png [--tpl tpl.png]
+    python cli.py solve rotate --image img.png
 """
 
 import argparse
@@ -195,6 +200,90 @@ def cmd_serve(args):
     uvicorn.run(app, host=args.host, port=args.port)
 
 
+def cmd_generate_solver(args):
+    """生成 solver 训练数据。"""
+    from config import SLIDE_DATA_DIR, ROTATE_SOLVER_DATA_DIR
+    from generators.slide_gen import SlideDataGenerator
+    from generators.rotate_solver_gen import RotateSolverDataGenerator
+
+    solver_type = args.type
+    num = args.num
+
+    gen_map = {
+        "slide": (SlideDataGenerator, SLIDE_DATA_DIR),
+        "rotate": (RotateSolverDataGenerator, ROTATE_SOLVER_DATA_DIR),
+    }
+
+    if solver_type not in gen_map:
+        print(f"未知 solver 类型: {solver_type}  可选: {', '.join(gen_map.keys())}")
+        sys.exit(1)
+
+    gen_cls, out_dir = gen_map[solver_type]
+    out_dir.mkdir(parents=True, exist_ok=True)
+    print(f"生成 solver/{solver_type} 数据: {num} 张 → {out_dir}")
+    gen = gen_cls()
+    gen.generate_dataset(num, str(out_dir))
+
+
+def cmd_train_solver(args):
+    """训练 solver 模型。"""
+    solver_type = args.type
+
+    if solver_type == "slide":
+        from training.train_slide import main as train_fn
+    elif solver_type == "rotate":
+        from training.train_rotate_solver import main as train_fn
+    else:
+        print(f"未知 solver 类型: {solver_type}  可选: slide, rotate")
+        sys.exit(1)
+
+    train_fn()
+
+
+def cmd_solve(args):
+    """求解验证码。"""
+    solver_type = args.type
+
+    if solver_type == "slide":
+        from solvers.slide_solver import SlideSolver
+
+        bg_path = args.bg
+        tpl_path = getattr(args, "tpl", None)
+        if not Path(bg_path).exists():
+            print(f"文件不存在: {bg_path}")
+            sys.exit(1)
+
+        solver = SlideSolver()
+        result = solver.solve(bg_path, template_image=tpl_path)
+
+        print(f"背景图: {bg_path}")
+        if tpl_path:
+            print(f"模板图: {tpl_path}")
+        print(f"缺口 x:     {result['gap_x']} px")
+        print(f"缺口 x%:    {result['gap_x_percent']:.4f}")
+        print(f"置信度:     {result['confidence']:.4f}")
+        print(f"方法:       {result['method']}")
+
+    elif solver_type == "rotate":
+        from solvers.rotate_solver import RotateSolver
+
+        image_path = args.image
+        if not Path(image_path).exists():
+            print(f"文件不存在: {image_path}")
+            sys.exit(1)
+
+        solver = RotateSolver()
+        result = solver.solve(image_path)
+
+        print(f"图片:   {image_path}")
+        print(f"角度:   {result['angle']}°")
+        print(f"置信度: {result['confidence']}")
+
+    else:
+        print(f"未知 solver 类型: {solver_type}  可选: slide, rotate")
+        sys.exit(1)
+
+
 def main():
     parser = argparse.ArgumentParser(
         prog="captcha-breaker",
@@ -247,6 +336,22 @@ def main():
     p_serve.add_argument("--host", default="0.0.0.0", help="监听地址 (默认 0.0.0.0)")
     p_serve.add_argument("--port", type=int, default=8080, help="监听端口 (默认 8080)")
 
+    # ---- generate-solver ----
+    p_gen_solver = subparsers.add_parser("generate-solver", help="生成 solver 训练数据")
+    p_gen_solver.add_argument("type", help="solver 类型: slide, rotate")
+    p_gen_solver.add_argument("--num", type=int, required=True, help="生成数量")
+
+    # ---- train-solver ----
+    p_train_solver = subparsers.add_parser("train-solver", help="训练 solver 模型")
+    p_train_solver.add_argument("type", help="solver 类型: slide, rotate")
+
+    # ---- solve ----
+    p_solve = subparsers.add_parser("solve", help="求解交互式验证码")
+    p_solve.add_argument("type", help="solver 类型: slide, rotate")
+    p_solve.add_argument("--bg", help="背景图路径 (slide 必需)")
+    p_solve.add_argument("--tpl", default=None, help="模板图路径 (slide 可选)")
+    p_solve.add_argument("--image", help="图片路径 (rotate 必需)")
+
     args = parser.parse_args()
 
     if args.command is None:
@@ -260,6 +365,9 @@ def main():
         "predict": cmd_predict,
         "predict-dir": cmd_predict_dir,
         "serve": cmd_serve,
+        "generate-solver": cmd_generate_solver,
+        "train-solver": cmd_train_solver,
+        "solve": cmd_solve,
     }
 
     cmd_map[args.command](args)