Expand 3D captcha into three subtypes: 3d_text, 3d_rotate, 3d_slider

Split the single "3d" captcha type into three independent expert models:
- 3d_text: 3D perspective text OCR (renamed from old "3d", CTC-based ThreeDCNN)
- 3d_rotate: rotation angle regression (new RegressionCNN, circular loss)
- 3d_slider: slider offset regression (new RegressionCNN, SmoothL1 loss)

CAPTCHA_TYPES expanded from 3 to 5 classes. Classifier samples updated
to 50000 (10000 per class). New generators, model, dataset, training
utilities, and full pipeline/export/CLI support for all subtypes.

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

generators/__init__.py

@@ -1,20 +1,26 @@
 """
 数据生成器包
 
-提供三种验证码类型的数据生成器：
+提供五种验证码类型的数据生成器：
 - NormalCaptchaGenerator: 普通字符验证码
 - MathCaptchaGenerator: 算式验证码
-- ThreeDCaptchaGenerator: 3D 立体验证码
+- ThreeDCaptchaGenerator: 3D 立体文字验证码
+- ThreeDRotateGenerator: 3D 旋转验证码
+- ThreeDSliderGenerator: 3D 滑块验证码
 """
 
 from generators.base import BaseCaptchaGenerator
 from generators.normal_gen import NormalCaptchaGenerator
 from generators.math_gen import MathCaptchaGenerator
 from generators.threed_gen import ThreeDCaptchaGenerator
+from generators.threed_rotate_gen import ThreeDRotateGenerator
+from generators.threed_slider_gen import ThreeDSliderGenerator
 
 __all__ = [
     "BaseCaptchaGenerator",
     "NormalCaptchaGenerator",
     "MathCaptchaGenerator",
     "ThreeDCaptchaGenerator",
+    "ThreeDRotateGenerator",
+    "ThreeDSliderGenerator",
 ]