refactor(core): 提炼公共类型

- 将 AxisDim、TensorInfo 等公共类型下沉至 ddddocr_core::types
- 项目结构优化

ddddocr-ort/src/det/session.rs

@@ -1,24 +1,24 @@
 use crate::types::Session;
+use ddddocr_core::DetOutput;
 use ddddocr_core::error::{Result, TensorError};
-use ddddocr_core::{DetEngine, DetOutput, InferenceEngine};
+use ddddocr_core::traits::{DetEngine, InferenceEngine};
 use ndarray::Ix3;
 use ort::inputs;
 use ort::value::TensorRef;
 // use tract_onnx::prelude::{tvec, IntoTensor, Tensor};
 
 #[derive(Debug)]
-pub struct DetSession {
+pub struct DetRuntime {
     pub session: Session,
 }
 
-impl DetSession {
+impl DetRuntime {
     pub fn new(session: Session) -> Self {
         Self { session }
     }
-
 }
 
-impl InferenceEngine for DetSession {
+impl InferenceEngine for DetRuntime {
     type Output = DetOutput; // 明确绑定 OCR 小枚举
     fn inference(&self, input_array: ndarray::Array4<f32>) -> Result<Self::Output, TensorError> {
         // tract 的 run 会返回一个 Vec<TValue>，我们通常只需要第一个输出
@@ -28,7 +28,6 @@ impl InferenceEngine for DetSession {
             .lock()
             .map_err(|_| TensorError::Engine("获取 Session 锁失败 (Poisoned)".to_string()))?;
 
-
         let result = session_guard
             .run(inputs![TensorRef::from_array_view(&input_array).map_err(
                 |e| TensorError::Engine(format!("构建输入失败: {e}"))
@@ -45,8 +44,7 @@ impl InferenceEngine for DetSession {
             TensorError::Engine("Tract 实体张量无法转换为 ndarray::ArrayD".to_string())
         })?;
         // 提前利用克隆(Clone)备份好当前未转维度前的真实 shape (Vec<usize>)
-        let shape_vec: Vec<usize> =
-            shape_ref.to_vec().iter().map(|v| *v as usize).collect();
+        let shape_vec: Vec<usize> = shape_ref.to_vec().iter().map(|v| *v as usize).collect();
         let shape_vec_slice = shape_vec.as_slice();
 
         let view = ndarray::ArrayViewD::from_shape(shape_vec_slice, slice)
@@ -64,4 +62,4 @@ impl InferenceEngine for DetSession {
     }
 }
 
-impl DetEngine for DetSession {}
+impl DetEngine for DetRuntime {}