Hua f5be7671bc 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>

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data/real

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generators

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

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inference

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

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models

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

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tests

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training

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

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.gitignore

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AGENTS.md

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

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CLAUDE.md

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

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cli.py

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

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config.py

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

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main.py

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pyproject.toml

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uv.lock

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Description

本地验证码识别系统，采用 调度模型 + 多专家模型 两级架构。调度模型分类验证码类型，专家模型负责具体识别。所有模型轻量化设计，导出 ONNX 部署。

229 KiB

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Python 100%