From 09137b23e36e9a4f08905410aa5337a5ebe62de2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=B5=B7=E9=BE=99?= <inksnowhailong@gmail.com>
Date: Thu, 14 Aug 2025 17:06:26 +0800
Subject: [PATCH] =?UTF-8?q?=E4=BF=AE=E5=A4=8D=E9=97=AE=E9=A2=98=EF=BC=8C?=
 =?UTF-8?q?=E4=BA=BA=E8=84=B8=E8=AF=86=E5=88=AB=E6=95=B0=E6=8D=AE?=
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---
 api/DTO/movieEdit.ts                   | 14 +-------------
 app/service/Interaction/ShotService.ts | 16 ++++++----------
 components/ui/shot-tab-content.tsx     |  2 +-
 3 files changed, 8 insertions(+), 24 deletions(-)

diff --git a/api/DTO/movieEdit.ts b/api/DTO/movieEdit.ts
index 851c8aa..9aefa10 100644
--- a/api/DTO/movieEdit.ts
+++ b/api/DTO/movieEdit.ts
@@ -541,19 +541,7 @@ export interface MatchedPerson {
   /**高度 小数百分比形式 */
   height: number;
 }
-/**
- * 角色识别结果数据
- * @description AI识别图片中人物后的详细结果
- */
 
-export interface RecognitionResultData {
-  /** 目标图片URL */
-  target_image_url: string;
-  /** 检测到的总人数 */
-  total_persons_detected: number;
-  /** 匹配的人物列表 */
-  matched_persons: MatchedPerson[];
-}
 /**
  * 角色识别响应结果
  * @description API返回的角色识别完整响应
@@ -565,7 +553,7 @@ export interface RecognitionResult {
   /** 响应消息 */
   message: string;
   /** 识别结果数据 */
-  data: RecognitionResultData;
+  data:  MatchedPerson[];
 }
 /**
  * 使用的角色信息
diff --git a/app/service/Interaction/ShotService.ts b/app/service/Interaction/ShotService.ts
index da6bdf6..d6f312b 100644
--- a/app/service/Interaction/ShotService.ts
+++ b/app/service/Interaction/ShotService.ts
@@ -402,7 +402,7 @@ export const useShotService = (): UseShotService => {
             );
           console.log("角色识别结果:", recognitionResult);
           setMatched_persons(
-            recognitionResult.recognition_result.data.matched_persons
+            recognitionResult.recognition_result.data
           );
           return recognitionResult;
         } catch (recognitionError) {
@@ -441,21 +441,17 @@ export const useShotService = (): UseShotService => {
     const containerRect = containerElement.getBoundingClientRect();
     const containerWidth = containerRect.width;
     const containerHeight = containerRect.height;
-    console.log('recognitionBoxes-width-height', containerWidth, containerHeight);
 
     // 计算识别框属性
     return matched_persons
       .map((person) => {
-        // 取出bbox信息
-        const bbox = (person as any).bbox;
-        if (!bbox) return null;
 
         // 计算绝对坐标和尺寸（百分比转像素）
-        const left = (bbox.x || 0) * containerWidth;
-        const top = (bbox.y || 0) * containerHeight;
-        const width = (bbox.width || 0) * containerWidth;
-        const height = (bbox.height || 0) * containerHeight;
-
+        const left = Number((person.x || 0).toFixed(4)) * containerWidth;
+        const top = Number((person.y || 0).toFixed(4)) * containerHeight;
+        const width = Number((person.width || 0).toFixed(4)) * containerWidth;
+        const height = Number((person.height || 0).toFixed(4)) * containerHeight;
+        console.log('left-top-width-height', left, top, width, height);
         return {
           left,
           top,
diff --git a/components/ui/shot-tab-content.tsx b/components/ui/shot-tab-content.tsx
index 9187510..0e273c5 100644
--- a/components/ui/shot-tab-content.tsx
+++ b/components/ui/shot-tab-content.tsx
@@ -77,7 +77,7 @@ export function ShotTabContent({
       const roleRecognitionResponse = await filterRole(containerElement);
       console.log('roleRecognitionResponse', roleRecognitionResponse);
       if (roleRecognitionResponse && roleRecognitionResponse.recognition_result.code === 200) {
-        const recognitionBoxes = calculateRecognitionBoxes(containerElement, roleRecognitionResponse.recognition_result.data.matched_persons);
+        const recognitionBoxes = calculateRecognitionBoxes(containerElement, roleRecognitionResponse.recognition_result.data);
         console.log('recognitionBoxes', recognitionBoxes);
         setDetections(recognitionBoxes.map((person: any) => ({
           id: person.person_id,