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>

training/train_slide.py

@@ -0,0 +1,65 @@
+"""
+训练滑块缺口检测 CNN (GapDetectorCNN)
+
+复用 train_regression_utils 的通用回归训练流程。
+
+用法: python -m training.train_slide
+"""
+
+from config import (
+    SOLVER_CONFIG,
+    SOLVER_TRAIN_CONFIG,
+    SOLVER_REGRESSION_RANGE,
+    SLIDE_DATA_DIR,
+    CHECKPOINTS_DIR,
+    ONNX_DIR,
+    ONNX_CONFIG,
+    RANDOM_SEED,
+    get_device,
+)
+from generators.slide_gen import SlideDataGenerator
+from models.gap_detector import GapDetectorCNN
+
+# 注入 solver 配置到 TRAIN_CONFIG / IMAGE_SIZE / REGRESSION_RANGE
+# 以便复用 train_regression_utils
+import config as _cfg
+
+
+def main():
+    solver_cfg = SOLVER_CONFIG["slide"]
+    train_cfg = SOLVER_TRAIN_CONFIG["slide_cnn"]
+    img_h, img_w = solver_cfg["cnn_input_size"]
+
+    model = GapDetectorCNN(img_h=img_h, img_w=img_w)
+
+    print("=" * 60)
+    print("训练滑块缺口检测 CNN (GapDetectorCNN)")
+    print(f"  输入尺寸: {img_h}×{img_w}")
+    print(f"  任务: 预测缺口 x 坐标百分比")
+    print("=" * 60)
+
+    # 直接使用 train_regression_utils 中的逻辑
+    # 但需要临时注入配置
+    _cfg.TRAIN_CONFIG["slide_cnn"] = train_cfg
+    _cfg.IMAGE_SIZE["slide_cnn"] = (img_h, img_w)
+    _cfg.REGRESSION_RANGE["slide_cnn"] = SOLVER_REGRESSION_RANGE["slide"]
+
+    from training.train_regression_utils import train_regression_model
+
+    # 确保数据目录存在
+    SLIDE_DATA_DIR.mkdir(parents=True, exist_ok=True)
+    real_dir = SLIDE_DATA_DIR / "real"
+    real_dir.mkdir(parents=True, exist_ok=True)
+
+    train_regression_model(
+        model_name="gap_detector",
+        model=model,
+        synthetic_dir=str(SLIDE_DATA_DIR),
+        real_dir=str(real_dir),
+        generator_cls=SlideDataGenerator,
+        config_key="slide_cnn",
+    )
+
+
+if __name__ == "__main__":
+    main()