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>

generators/slide_gen.py

@@ -0,0 +1,112 @@
+"""
+滑块验证码数据生成器
+
+生成滑块验证码训练数据：随机纹理/色块背景 + 方形缺口 + 阴影效果。
+标签 = 缺口中心 x 坐标 (整数)
+文件名格式: {gap_x}_{index:06d}.png
+"""
+
+import random
+
+from PIL import Image, ImageDraw, ImageFilter
+
+from config import SOLVER_CONFIG
+from generators.base import BaseCaptchaGenerator
+
+
+class SlideDataGenerator(BaseCaptchaGenerator):
+    """滑块验证码数据生成器。"""
+
+    def __init__(self, seed: int | None = None):
+        from config import RANDOM_SEED
+        super().__init__(seed=seed if seed is not None else RANDOM_SEED)
+
+        self.cfg = SOLVER_CONFIG["slide"]
+        self.height, self.width = self.cfg["cnn_input_size"]  # (H, W)
+        self.gap_size = 40  # 缺口大小
+
+    def generate(self, text: str | None = None) -> tuple[Image.Image, str]:
+        rng = self.rng
+        gs = self.gap_size
+
+        # 缺口 x 范围: 留出边距
+        margin = gs + 10
+        gap_x = rng.randint(margin, self.width - margin)
+        gap_y = rng.randint(10, self.height - gs - 10)
+
+        if text is None:
+            text = str(gap_x)
+
+        # 1. 生成纹理背景
+        img = self._textured_background(rng)
+
+        # 2. 绘制缺口 (半透明灰色区域 + 阴影)
+        overlay = Image.new("RGBA", img.size, (0, 0, 0, 0))
+        overlay_draw = ImageDraw.Draw(overlay)
+
+        # 阴影 (稍大一圈)
+        overlay_draw.rectangle(
+            [gap_x + 2, gap_y + 2, gap_x + gs + 2, gap_y + gs + 2],
+            fill=(0, 0, 0, 60),
+        )
+        # 缺口本体
+        overlay_draw.rectangle(
+            [gap_x, gap_y, gap_x + gs, gap_y + gs],
+            fill=(80, 80, 80, 160),
+            outline=(60, 60, 60, 200),
+            width=2,
+        )
+
+        img = img.convert("RGBA")
+        img = Image.alpha_composite(img, overlay)
+        img = img.convert("RGB")
+
+        # 3. 轻微模糊
+        img = img.filter(ImageFilter.GaussianBlur(radius=0.3))
+
+        return img, text
+
+    def _textured_background(self, rng: random.Random) -> Image.Image:
+        """生成带纹理的彩色背景。"""
+        img = Image.new("RGB", (self.width, self.height))
+        draw = ImageDraw.Draw(img)
+
+        # 渐变底色
+        base_r = rng.randint(80, 200)
+        base_g = rng.randint(80, 200)
+        base_b = rng.randint(80, 200)
+        for y in range(self.height):
+            ratio = y / max(self.height - 1, 1)
+            r = int(base_r + 40 * ratio)
+            g = int(base_g - 20 * ratio)
+            b = int(base_b + 20 * ratio)
+            r, g, b = max(0, min(255, r)), max(0, min(255, g)), max(0, min(255, b))
+            draw.line([(0, y), (self.width, y)], fill=(r, g, b))
+
+        # 纹理噪声
+        for _ in range(self.width * self.height // 6):
+            x = rng.randint(0, self.width - 1)
+            y = rng.randint(0, self.height - 1)
+            pixel = img.getpixel((x, y))
+            noise = tuple(
+                max(0, min(255, c + rng.randint(-30, 30)))
+                for c in pixel
+            )
+            draw.point((x, y), fill=noise)
+
+        # 随机色块 (模拟图案)
+        for _ in range(rng.randint(4, 8)):
+            x1, y1 = rng.randint(0, self.width - 30), rng.randint(0, self.height - 20)
+            x2, y2 = x1 + rng.randint(15, 50), y1 + rng.randint(10, 30)
+            color = tuple(rng.randint(50, 230) for _ in range(3))
+            draw.rectangle([x1, y1, x2, y2], fill=color)
+
+        # 随机圆形
+        for _ in range(rng.randint(2, 5)):
+            cx = rng.randint(10, self.width - 10)
+            cy = rng.randint(10, self.height - 10)
+            cr = rng.randint(5, 20)
+            color = tuple(rng.randint(50, 230) for _ in range(3))
+            draw.ellipse([cx - cr, cy - cr, cx + cr, cy + cr], fill=color)
+
+        return img