增加识别日志

app/src/main/java/com/sw/inbound/objbox/FoodModule.kt

@@ -8,12 +8,14 @@ import com.google.gson.reflect.TypeToken
 import com.sw.inbound.MyApp
 import com.sw.inbound.utils.AssetsTool
 import com.sw.inbound.utils.ImageUtil
+import com.sw.inbound.utils.ext.toJsonString
 import io.objectbox.Box
 import io.objectbox.kotlin.boxFor
 import io.objectbox.query.Query
 import org.pytorch.IValue
 import org.pytorch.Module
 import org.pytorch.torchvision.TensorImageUtils
+import timber.log.Timber
 import java.io.File
 import java.io.FileOutputStream
 import java.io.IOException
@@ -88,7 +90,13 @@ object FoodModule {
         //查询比较分数
 //        val tempList = query.findWithScores().sortedBy { it.score }.map { "${it.get().name}|${it.get().foodIdx}|${it.score}" }
         val map = mutableMapOf<String, Int>()
-        query.findIdsWithScores().filter { it.score < 0.2 }.forEach {
+        val idScoreList = query.findIdsWithScores()
+        val nameScoreList = mutableListOf<IdNameScore>()
+        idScoreList.forEach {
+            nameScoreList.add(IdNameScore(id = it.id, name = box.get(it.id).name?:"", score = it.score))
+        }
+        Timber.tag("FoodModule").d("queryFood数据：${nameScoreList.toJsonString()}")
+        idScoreList.filter { it.score < 0.2 }.forEach {
             val food = box.get(it.id)
             //FoodQueryResult(id = it.id, name = food.name, foodIdx = food.foodIdx, score = it.score)
             food.name?.let { key ->
@@ -100,6 +108,11 @@ object FoodModule {
         return list
     }
 
+    data class IdNameScore(
+        val id:Long,
+        val name:String,
+        val score: Double
+    )
 
     fun initDefFoodData(context: Context, action:()-> Unit={}) {
         val count = box.all.count { it.foodIdx == DEFAULT_FOOD_INDEX }