修改模式切换流程
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@@ -1,10 +1,13 @@
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package com.sw.dualscreen.objbox
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import com.sw.dualscreen.MyApp
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import com.sw.dualscreen.utils.AssetsTool
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import android.content.Context
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import android.graphics.Bitmap
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import android.net.Uri
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import com.google.gson.Gson
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import com.google.gson.reflect.TypeToken
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import com.sw.dualscreen.utils.AssetsTool
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import com.sw.dualscreen.utils.ImageUtil
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import io.objectbox.Box
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import io.objectbox.kotlin.boxFor
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import io.objectbox.query.Query
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@@ -19,34 +22,64 @@ import java.io.InputStream
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object FoodModule {
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private const val THRESHOLD = 0.8
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private lateinit var module_mobile: Module
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private lateinit var box: Box<Food>
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private lateinit var embeddingsList: List<List<Float>>
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private lateinit var labelsList: IntArray
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private lateinit var classInfo: FoodClassInfo
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private val NO_MEAN_RGB = floatArrayOf(0.0f, 0.0f, 0.0f)
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private val NO_STD_RGB = floatArrayOf(1.0f, 1.0f, 1.0f)
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val NO_MEAN_RGB = floatArrayOf(0.0f, 0.0f, 0.0f)
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val NO_STD_RGB = floatArrayOf(1.0f, 1.0f, 1.0f)
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val DEFAULT_FOOD_INDEX = -1
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fun init(context: Context) {
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module_mobile = Module.load(copyAssetToCache(context, "best_embedding_model_mobile.pt"))
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box = ObjectBox.boxStore.boxFor(Food::class)
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// if (box.all.isNotEmpty()) {
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// box.removeAll()
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// }
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// if (box.all.isEmpty()) {
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// initFoodData(context)
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// }
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Thread {
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module_mobile = Module.load(copyAssetToCache(context, "best_embedding_model_mobile.pt"))
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box = ObjectBox.boxStore.boxFor(Food::class)
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//if (box.all.isNotEmpty()) {
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// box.removeAll()
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//}
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//if (box.all.isEmpty()) {
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// initDefFoodData(context)
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//}
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}.start()
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}
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fun queryFood(bitmap: Bitmap, queryCount: Int = 15): List<String> {
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fun uri2FloatArray(uri: Uri): FloatArray? {
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return MyApp.instance?.let { context ->
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ImageUtil.uriToBitmap(context, uri)?.let {
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bitmap2FloatArray(it)
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}
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}
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}
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fun bitmap2FloatArray(bitmap: Bitmap): FloatArray {
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val inputTensor = TensorImageUtils.bitmapToFloat32Tensor(
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bitmap,
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NO_MEAN_RGB, // [0.485, 0.456, 0.406] TORCHVISION_NORM_MEAN_RGB
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NO_STD_RGB // [0.229, 0.224, 0.225] TORCHVISION_NORM_STD_RGB
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)
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val outputTensor = module_mobile.forward(IValue.from(inputTensor)).toTensor()
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return outputTensor.dataAsFloatArray
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}
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fun queryFood(uri: Uri, queryCount: Int = 15): List<String>? {
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return uri2FloatArray(uri)?.let {
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queryFood(it, queryCount)
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}
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}
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fun queryFood(bitmap: Bitmap, queryCount: Int = 15): List<String> {
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val inputTensor =
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TensorImageUtils.bitmapToFloat32Tensor(
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bitmap,
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NO_MEAN_RGB, // [0.485, 0.456, 0.406] TORCHVISION_NORM_MEAN_RGB
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NO_STD_RGB // [0.229, 0.224, 0.225] TORCHVISION_NORM_STD_RGB
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)
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val outputTensor = module_mobile.forward(IValue.from(inputTensor)).toTensor()
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val floatArray = outputTensor.dataAsFloatArray
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if (bitmap.isRecycled.not()) {
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bitmap.recycle()
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}
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return queryFood(floatArray, queryCount)
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}
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@@ -56,24 +89,35 @@ object FoodModule {
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//查询比较分数
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// val tempList = query.findWithScores().sortedBy { it.score }.map { "${it.get().name}|${it.get().foodIdx}|${it.score}" }
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val map = mutableMapOf<String, Int>()
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query.findIdsWithScores().forEach {
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val idScoreList = query.findIdsWithScores()
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val nameScoreList = mutableListOf<IdNameScore>()
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idScoreList.forEach {
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nameScoreList.add(IdNameScore(id = it.id, name = box.get(it.id).name?:"", score = it.score))
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Timber.tag("registerDataChange").d("queryFood数据:${box.get(it.id).name}===score=${it.score}")
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}
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// Timber.tag("FoodModule").d("queryFood数据:${nameScoreList.toJsonString()}")
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idScoreList.filter { it.score < 0.20 }.forEach {
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val food = box.get(it.id)
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Timber.d("${food.name}|${food.foodIdx}|${it.score}")
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if (1 - it.score >= THRESHOLD) {
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//FoodQueryResult(id = it.id, name = food.name, foodIdx = food.foodIdx, score = it.score)
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food.name?.let { key ->
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val count = map[key] ?: 0
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map.put(key, count + 1)
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}
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//FoodQueryResult(id = it.id, name = food.name, foodIdx = food.foodIdx, score = it.score)
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food.name?.let { key ->
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val count = map[key] ?: 0
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map[key] = count + 1
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}
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}
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val list = map.entries.sortedByDescending { it.value }.map { it.key }
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return list
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}
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data class IdNameScore(
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val id:Long,
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val name:String,
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val score: Double
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)
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private fun initFoodData(context: Context) {
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if (box.all.isNotEmpty()) {
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fun initDefFoodData(context: Context, action:()-> Unit={}) {
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val count = box.all.count { it.foodIdx == DEFAULT_FOOD_INDEX }
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if (count > 0) {
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return
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}
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val embeddingsJson = AssetsTool.readAssetsFile(context, "data/embeddings.json")
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@@ -91,8 +135,9 @@ object FoodModule {
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val classIdx = labelsList[index]
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val foodName = foodMap["$classIdx"]
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val array = floatList.toFloatArray()
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box.put(Food(name = foodName, foodVector = array, foodIdx = index))
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box.put(Food(name = foodName, foodVector = array, foodIdx = DEFAULT_FOOD_INDEX))
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}
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action()
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}
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