feat(ai): 集成动漫人物分割与面部解析AI模型- 添加 DJL 深度学习框架依赖项以支持 PyTorch 和 ONNX Runtime 引擎

- 实现 Anime2VividModelWrapper 封装类用于动漫人物前景背景分离
- 开发 AnimeModelWrapper用于精细的动漫面部特征（如头发、眼睛）分割
- 创建配套的标签调色板和结果处理工具类提升可视化效果
- 增加多个测试用例验证不同AI模型的推理及文件输出功能
- 支持通过 synset.txt 自定义模型标签并增强命令行可测试性

src/main/java/com/chuangzhou/vivid2D/test/AI2Test.java

@@ -0,0 +1,38 @@
+package com.chuangzhou.vivid2D.test;
+
+import com.chuangzhou.vivid2D.ai.anime_face_segmentation.AnimeModelWrapper;
+
+import java.io.PrintStream;
+import java.nio.charset.StandardCharsets;
+import java.nio.file.Paths;
+import java.util.Set;
+
+/**
+ * 用来分析人物的脸部信息头发、眼睛、嘴巴、脸部、皮肤、衣服
+ */
+public class AI2Test {
+    public static void main(String[] args) throws Exception {
+        System.setOut(new PrintStream(System.out, true, StandardCharsets.UTF_8));
+        System.setErr(new PrintStream(System.err, true, StandardCharsets.UTF_8));
+
+        // 使用 AnimeModelWrapper 而不是 VividModelWrapper
+        AnimeModelWrapper wrapper = AnimeModelWrapper.load(Paths.get("C:\\Users\\Administrator\\Desktop\\model\\Anime-Face-Segmentation\\anime_unet.pt"));
+
+        // 使用 Anime-Face-Segmentation 的 7 个标签
+        Set<String> animeLabels = Set.of(
+                "background",
+                "hair",       // 头发
+                "eye",        // 眼睛
+                "mouth",      // 嘴巴
+                "face",       // 脸部
+                "skin",       // 皮肤
+                "clothes"     // 衣服
+        );
+
+        wrapper.segmentAndSave(
+                Paths.get("C:\\Users\\Administrator\\Desktop\\b_215609167a3a20ac2075487bd532bbff.jpg").toFile(),
+                animeLabels,
+                Paths.get("C:\\models\\out")
+        );
+    }
+}

src/main/java/com/chuangzhou/vivid2D/test/AI3Test.java

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+package com.chuangzhou.vivid2D.test;
+
+import com.chuangzhou.vivid2D.ai.anime_segmentation.Anime2VividModelWrapper;
+import com.chuangzhou.vivid2D.ai.face_parsing.VividModelWrapper;
+
+import java.io.PrintStream;
+import java.nio.charset.StandardCharsets;
+import java.nio.file.Paths;
+import java.util.Set;
+
+/**
+ * 这个ai模型负责分离人物与背景
+ */
+public class AI3Test {
+    public static void main(String[] args) throws Exception {
+        System.setOut(new PrintStream(System.out, true, StandardCharsets.UTF_8));
+        System.setErr(new PrintStream(System.err, true, StandardCharsets.UTF_8));
+        Anime2VividModelWrapper wrapper = Anime2VividModelWrapper.load(Paths.get("C:\\Users\\Administrator\\Desktop\\model\\anime-segmentation-main\\isnetis_traced.pt"));
+
+        Set<String> faceLabels =  Set.of("foreground");
+
+        wrapper.segmentAndSave(
+                Paths.get("C:\\Users\\Administrator\\Desktop\\b_7a8349adece17d1e4bebd20cb2387cf6.jpg").toFile(),
+                faceLabels,
+                Paths.get("C:\\models\\out")
+        );
+    }
+}

src/main/java/com/chuangzhou/vivid2D/test/AITest.java

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+package com.chuangzhou.vivid2D.test;
+
+import com.chuangzhou.vivid2D.ai.face_parsing.VividModelWrapper;
+
+import java.io.PrintStream;
+import java.nio.charset.StandardCharsets;
+import java.nio.file.Paths;
+import java.util.Set;
+
+/**
+ * 测试人脸解析模型
+ */
+public class AITest {
+    public static void main(String[] args) throws Exception {
+        System.setOut(new PrintStream(System.out, true, StandardCharsets.UTF_8));
+        System.setErr(new PrintStream(System.err, true, StandardCharsets.UTF_8));
+        VividModelWrapper wrapper = VividModelWrapper.load(Paths.get("C:\\models\\bisenet_face_parsing.pt"));
+
+        // 使用 BiSeNet 人脸解析模型的 18 个非背景标签
+        Set<String> faceLabels = Set.of(
+                "skin", "nose", "eye_left", "eye_right", "eyebrow_left",
+                "eyebrow_right", "ear_left", "ear_right", "mouth", "lip_upper",
+                "lip_lower", "hair", "hat", "earring", "necklace", "clothes",
+                "facial_hair", "neck"
+        );
+
+        wrapper.segmentAndSave(
+                Paths.get("C:\\Users\\Administrator\\Desktop\\b_f4881214f0d18b6cf848b6736f554821.png").toFile(),
+                faceLabels,
+                Paths.get("C:\\models\\out")
+        );
+    }
+}