135 lines
4.4 KiB
Kotlin
135 lines
4.4 KiB
Kotlin
package com.digitalperson.config
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import com.digitalperson.BuildConfig
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object AppConfig {
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const val TAG = "DigitalPerson"
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const val REQUEST_RECORD_AUDIO_PERMISSION = 200
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const val SAMPLE_RATE = 16000
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const val WINDOW_SIZE = 512
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const val SHOW_DEBUG_TEXT = true
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const val USE_HOLD_TO_SPEAK = true // true: 按住说话, false: 传统按钮
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object Tts {
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const val MODEL_DIR = "tts_model/sherpa-onnx-vits-zh-ll"
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const val MODEL_NAME = "model.onnx"
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const val LEXICON = "lexicon.txt"
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const val SPEAKER_ID = 2
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const val SPEED = 1.0f
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const val MAX_LEN = 30
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const val MAX_WAIT_MS: Long = 600
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}
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object Vad {
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const val START_THRESHOLD = 0.2f
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const val END_THRESHOLD = 0.15f
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const val MIN_SILENCE_DURATION = 0.5f
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const val MIN_SPEECH_DURATION = 0.1f
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const val MAX_SPEECH_DURATION = 5.0f
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}
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object Asr {
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const val MAX_TEXT_LENGTH = 50
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const val MODEL_DIR = "sensevoice_models"
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}
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object Face {
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const val MODEL_DIR = "RetinaFace"
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const val MODEL_NAME = "RetinaFace_mobile320.rknn"
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const val INPUT_SIZE = 320
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const val SCORE_THRESHOLD = 0.6f
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const val NMS_THRESHOLD = 0.4f
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const val TRACK_IOU_THRESHOLD = 0.45f
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const val STABLE_MS = 1000L
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const val FRONTAL_MIN_FACE_SIZE = 90f
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const val FRONTAL_MAX_ASPECT_DIFF = 0.35f
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}
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object FaceRecognition {
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const val MODEL_DIR = "Insightface"
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const val MODEL_NAME = "ms1mv3_arcface_r18.rknn"
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const val SIMILARITY_THRESHOLD = 0.6f
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const val GREETING_COOLDOWN_MS = 6000L
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}
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object Audio {
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const val GAIN_SMOOTHING_FACTOR = 0.1f
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const val TARGET_RMS = 0.1f
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}
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object Avatar {
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// Compile-time switch in gradle.properties/local.properties: USE_LIVE2D=true|false
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// const val USE_LIVE2D = BuildConfig.USE_LIVE2D
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// const val MODEL_DIR = "live2d_model/mao_pro_zh"
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// const val MODEL_JSON = "mao_pro.model3.json"
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// const val MODEL_DIR = "live2d_model/Haru_pro_jp"
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// const val MODEL_JSON = "haru_greeter_t05.model3.json"
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// 数字人类型: "live2d" 或 "unity"
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const val DIGITAL_PERSON_TYPE = "unity"
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// Live2D 配置
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const val LIVE2D_MODEL_DIR = "live2d_model/Haru_pro_jp"
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const val LIVE2D_MODEL_JSON = "haru_greeter_t05.model3.json"
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const val LIVE2D_SCALE = 1.0f
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// Unity 配置
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const val UNITY_MODEL_PATH = "asobi_chan_b"
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const val UNITY_SCALE = 1.0f
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// 检查是否使用Unity
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fun isUnity(): Boolean {
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return DIGITAL_PERSON_TYPE == "unity"
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}
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// 检查是否使用Live2D
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fun isLive2D(): Boolean {
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return DIGITAL_PERSON_TYPE == "live2d"
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}
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}
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object QCloud {
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const val APP_ID = "1302849512" // 替换为你的腾讯云APP_ID
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const val SECRET_ID = "AKIDbBdyBGE5oPuIGA1iDlDYlFallaJ0YODB" // 替换为你的腾讯云SECRET_ID
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const val SECRET_KEY = "32vhIl9OQIRclmLjvuleLp9LLAnFVYEp" // 替换为你的腾讯云SECRET_KEY
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}
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object LLM {
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// 模型下载服务器地址
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const val DOWNLOAD_SERVER = "http://192.168.1.19:5000"
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// 下载路径
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const val DOWNLOAD_PATH = "/download"
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// 模型文件名
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const val MODEL_FILE_NAME = "Qwen3-0.6B-rk3588-w8a8.rkllm"
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// 模型存储目录
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const val MODEL_DIR = "llm"
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// 下载连接超时（毫秒）
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const val DOWNLOAD_CONNECT_TIMEOUT = 600000
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// 下载读取超时（毫秒）
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const val DOWNLOAD_READ_TIMEOUT = 1200000
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// 模型文件大小估计（字节）
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const val MODEL_SIZE_ESTIMATE = 500L * 1024 * 1024 // 500MB
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}
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/** BGE-small-zh-v1.5 文本嵌入（RKNN），用于语义相似度 / 检索。 */
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object Bge {
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const val ASSET_DIR = "bge_models"
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const val MODEL_FILE = "bge-small-zh-v1.5.rknn"
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}
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/**
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* app/note/ref 通过 Gradle 额外 assets 目录打入 apk 后，在 assets 中的根路径为 `ref/`。
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*/
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object RefCorpus {
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const val ASSETS_ROOT = "ref"
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}
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object OnboardTesting {
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// 测试人脸识别
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const val FACE_REGONITION = false
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// 测试本地大模型
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const val LOCAL_LLM_SUMMARY = false
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}
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}
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