CNWei
ea7fb43a14
- 移除 核心层与 tract/Tensor 的强耦合，前/后处理全线转用标准 ndarray - 针对 OCR 与目标检测（Det）分别设计独立的强类型输出小枚举（OcrOutput/DetOutput） - 利用 Trait 关联类型（Associated Type）InferenceEngine,OcrEngine,DetEngine 统一接口，实现多后端解耦 - 引入 thiserror 库，建立完备的强类型错误处理机制（DdddError/Result） - 完成项目结构初拆，剥离为 ddddocr-core 和 ddddocr-tract
24 lines
520 B
TOML
24 lines
520 B
TOML
[workspace]
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resolver = "2"
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members = [
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"ddddocr-core",
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"ddddocr-tract",
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]
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[workspace.package]
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version = "0.1.0"
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edition = "2024"
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license = "MIT OR Apache-2.0"
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[workspace.dependencies]
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tract-onnx = { version = "0.21.10" }
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anyhow = "1.0.102"
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image = "0.25.10"
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base64 = "0.22.1"
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imageproc = { version = "0.26.2", default-features = true }
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serde = { version = "1.0.228", features = ["derive"] }
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serde_json = "1.0.150"
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ndarray="0.16.1"
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thiserror = "1.0" # 刚好可以开始接入你需要的标准库错误处理
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