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
697 B
TOML
24 lines
697 B
TOML
[package]
|
|
name = "ddddocr-tract"
|
|
version = { workspace = true }
|
|
edition = { workspace = true }
|
|
license = { workspace = true }
|
|
|
|
[dependencies]
|
|
|
|
ddddocr-core = { path = "../ddddocr-core" } # 引入兄弟库
|
|
tract-onnx = "0.21.10"
|
|
anyhow = "1.0.102"
|
|
image = { workspace = true }
|
|
base64 = "0.22.1"
|
|
imageproc = { version = "0.26.2", default-features = true }
|
|
serde = { workspace = true }
|
|
serde_json = "1.0.150"
|
|
ndarray = { workspace = true } # 继承自工作空间
|
|
thiserror = { workspace = true } # 刚好可以开始接入你需要的标准库错误处理
|
|
|
|
|
|
|
|
[features]
|
|
default = []
|
|
embed-models = [] # 这是一个留给有特殊需求、且自己下载了模型放入 models/ 目录的人的后门 |