Bert-vits2-v2.2新版本本地训练推理整合包(原神八重神子英文模型miko)

在这里插入图片描述

近日，Bert-vits2-v2.2如约更新，该新版本v2.2主要把Emotion 模型换用CLAP多模态模型，推理支持输入text prompt提示词和audio prompt提示语音来进行引导风格化合成，让推理音色更具情感特色，并且推出了新的预处理webuI，操作上更加亲民和接地气。

更多情报请参见Bert-vits2官网：

https://github.com/fishaudio/Bert-VITS2/releases/tag/v2.2

与此同时，基于FastApi的推理web界面项目也同步适配了Bert-vits2-v2.2版本，官网如下：

https://github.com/jiangyuxiaoxiao/Bert-VITS2-UI

本次我们基于此两个项目来克隆原神角色八重神子的英文语音模型miko。

Bert-vits2-v2.2新的底模和情感模型

首先克隆Bert-vits2-v2.2官方项目：

git clone https://github.com/fishaudio/Bert-VITS2/tree/v2.2

安装依赖：

pip3 install -r requirements.txt

这里注意是v2.2的tag分支，因为官方随时都在更新，主分支可能会存在bug。

进入项目的目录：

cd /Bert-VITS2

随后下载新的底模和情感模型，下载地址：

https://openi.pcl.ac.cn/Stardust_minus/Bert-VITS2/modelmanage/show_model

将新的情感模型clap-hatsat-fused放入到项目的emotional目录，结构如下：

E:\work\Bert-VITS2-v22\emotional>tree /f  
Folder PATH listing for volume myssd  
Volume serial number is 7CE3-15AE  
E:.  
├───clap-htsat-fused  
│       .gitattributes  
│       config.json  
│       merges.txt  
│       preprocessor_config.json  
│       pytorch_model.bin  
│       README.md  
│       special_tokens_map.json  
│       tokenizer.json  
│       tokenizer_config.json  
│       vocab.json  
│  
└───wav2vec2-large-robust-12-ft-emotion-msp-dim  .gitattributes  config.json  LICENSE  preprocessor_config.json  pytorch_model.bin  README.md  vocab.json

注意，wav2vec2-large-robust-12-ft-emotion-msp-dim是Bert-vits2-v2.1的情感模型，也需要保留，具体请移步：义无反顾马督工,Bert-vits2V210复刻马督工实践(Python3.10)， 这里不再赘述。

至此，新模型就配置好了。

Bert-vits2-v2.2模型训练

首先下载训练集，以原神角色八重神子的英文配音为例子，数据集下载地址：

https://github.com/AI-Hobbyist/Genshin_Datasets

随后新建miko角色目录

mkdir miko

将语音标注文件以esd.list命名，放入miko目录。

同时将分片语音素材放入raw目录。

最后新建miko/configs/config.json配置文件：

{  "train": {  "log_interval": 50,  "eval_interval": 50,  "seed": 42,  "epochs": 1000,  "learning_rate": 0.0002,  "betas": [  0.8,  0.99  ],  "eps": 1e-09,  "batch_size": 6,  "fp16_run": false,  "lr_decay": 0.99995,  "segment_size": 16384,  "init_lr_ratio": 1,  "warmup_epochs": 0,  "c_mel": 45,  "c_kl": 1.0,  "skip_optimizer": false,  "freeze_ZH_bert": false,  "freeze_JP_bert": false,  "freeze_EN_bert": false  },  "data": {  "training_files": "data/miko/train.list",  "validation_files": "data/miko/val.list",  "max_wav_value": 32768.0,  "sampling_rate": 44100,  "filter_length": 2048,  "hop_length": 512,  "win_length": 2048,  "n_mel_channels": 128,  "mel_fmin": 0.0,  "mel_fmax": null,  "add_blank": true,  "n_speakers": 1,  "cleaned_text": true,  "spk2id": {  "miko": 0  }  },  "model": {  "use_spk_conditioned_encoder": true,  "use_noise_scaled_mas": true,  "use_mel_posterior_encoder": false,  "use_duration_discriminator": true,  "inter_channels": 192,  "hidden_channels": 192,  "filter_channels": 768,  "n_heads": 2,  "n_layers": 6,  "kernel_size": 3,  "p_dropout": 0.1,  "resblock": "1",  "resblock_kernel_sizes": [  3,  7,  11  ],  "resblock_dilation_sizes": [  [  1,  3,  5  ],  [  1,  3,  5  ],  [  1,  3,  5  ]  ],  "upsample_rates": [  8,  8,  2,  2,  2  ],  "upsample_initial_channel": 512,  "upsample_kernel_sizes": [  16,  16,  8,  2,  2  ],  "n_layers_q": 3,  "use_spectral_norm": false,  "gin_channels": 256  },  "version": "2.2"  
}

这里注意"version": “2.2”，即版本号为最新的v2.2。

其他参数根据当前的设备环境酌情调整即可。

随后启动预处理页面：

python3 webui_preprocess.py

访问http://127.0.0.1:7860/:

按照页面的步骤进行操作即可，简单且方便。

操作完之后，运行训练命令：

python3 train_ms.py

训练好的模型放在data/miko/models目录，结构如下：

E:\work\Bert-VITS2-v22\Data\miko\models>tree /f  
Folder PATH listing for volume myssd  
Volume serial number is 7CE3-15AE  
E:.  
│   DUR_0.pth  
│   DUR_100.pth  
│   DUR_150.pth  
│   DUR_50.pth  
│   D_0.pth  
│   D_100.pth  
│   D_150.pth  
│   D_50.pth  
│   events.out.tfevents.1702457087.ly.13044.0  
│   events.out.tfevents.1702458207.ly.12416.0  
│   githash  
│   G_0.pth  
│   G_100.pth  
│   G_150.pth  
│   G_50.pth  
│   train.log  
│  
└───eval  events.out.tfevents.1702457087.ly.13044.1  events.out.tfevents.1702458207.ly.12416.1

至此，训练环节结束。

Bert-vits2-v2.2模型推理

推理我们使用Bert-vits2-UI项目的页面，克隆web项目：

git clone https://github.com/jiangyuxiaoxiao/Bert-VITS2-UI

将Web项目放入Bert-vits2-v2.2的根目录中，目录结构如下：

E:\work\Bert-VITS2-v22_lilith\Web>tree /f  
Folder PATH listing for volume myssd  
Volume serial number is 7CE3-15AE  
E:.  
│   index.html  
│  
├───assets  
│       index-21bc6a28.css  
│       index-402c0217.js  
│  
└───img  helps1.png  helps2.png  Hiyori.ico

这里包含主页面、样式文件以及JS文件，基于Hiyori。

随后启动推理页面:

python3 server_fastapi.py

访问：http://127.0.0.1:5000/：

加载模型进行推理即可。

此外，还可以基于FastAPI的接口进行推理，换句话说，发送http请求即可获取推理音频，接口参数如下：

{  "openapi": "3.1.0",  "info": {  "title": "FastAPI",  "version": "0.1.0"  },  "paths": {  "/": {  "get": {  "summary": "Index",  "operationId": "index__get",  "responses": {  "200": {  "description": "Successful Response",  "content": {  "application/json": {  "schema": {}  }  }  }  }  }  },  "/voice": {  "post": {  "summary": "Voice",  "description": "语音接口，若需要上传参考音频请仅使用post请求",  "operationId": "voice_voice_post",  "parameters": [  {  "name": "model_id",  "in": "query",  "required": true,  "schema": {  "type": "integer",  "description": "模型ID",  "title": "Model Id"  },  "description": "模型ID"  },  {  "name": "speaker_name",  "in": "query",  "required": false,  "schema": {  "type": "string",  "description": "说话人名",  "title": "Speaker Name"  },  "description": "说话人名"  },  {  "name": "speaker_id",  "in": "query",  "required": false,  "schema": {  "type": "integer",  "description": "说话人id，与speaker_name二选一",  "title": "Speaker Id"  },  "description": "说话人id，与speaker_name二选一"  },  {  "name": "sdp_ratio",  "in": "query",  "required": false,  "schema": {  "type": "number",  "description": "SDP/DP混合比",  "default": 0.2,  "title": "Sdp Ratio"  },  "description": "SDP/DP混合比"  },  {  "name": "noise",  "in": "query",  "required": false,  "schema": {  "type": "number",  "description": "感情",  "default": 0.2,  "title": "Noise"  },  "description": "感情"  },  {  "name": "noisew",  "in": "query",  "required": false,  "schema": {  "type": "number",  "description": "音素长度",  "default": 0.9,  "title": "Noisew"  },  "description": "音素长度"  },  {  "name": "length",  "in": "query",  "required": false,  "schema": {  "type": "number",  "description": "语速",  "default": 1,  "title": "Length"  },  "description": "语速"  },  {  "name": "language",  "in": "query",  "required": false,  "schema": {  "type": "string",  "description": "语言",  "title": "Language"  },  "description": "语言"  },  {  "name": "auto_translate",  "in": "query",  "required": false,  "schema": {  "type": "boolean",  "description": "自动翻译",  "default": false,  "title": "Auto Translate"  },  "description": "自动翻译"  },  {  "name": "auto_split",  "in": "query",  "required": false,  "schema": {  "type": "boolean",  "description": "自动切分",  "default": false,  "title": "Auto Split"  },  "description": "自动切分"  },  {  "name": "emotion",  "in": "query",  "required": false,  "schema": {  "anyOf": [  {  "type": "integer"  },  {  "type": "string"  },  {  "type": "null"  }  ],  "description": "emo",  "title": "Emotion"  },  "description": "emo"  }  ],  "requestBody": {  "required": true,  "content": {  "multipart/form-data": {  "schema": {  "$ref": "#/components/schemas/Body_voice_voice_post"  }  }  }  },  "responses": {  "200": {  "description": "Successful Response",  "content": {  "application/json": {  "schema": {}  }  }  },  "422": {  "description": "Validation Error",  "content": {  "application/json": {  "schema": {  "$ref": "#/components/schemas/HTTPValidationError"  }  }  }  }  }  },  "get": {  "summary": "Voice",  "description": "语音接口",  "operationId": "voice_voice_get",  "parameters": [  {  "name": "text",  "in": "query",  "required": true,  "schema": {  "type": "string",  "description": "输入文字",  "title": "Text"  },  "description": "输入文字"  },  {  "name": "model_id",  "in": "query",  "required": true,  "schema": {  "type": "integer",  "description": "模型ID",  "title": "Model Id"  },  "description": "模型ID"  },  {  "name": "speaker_name",  "in": "query",  "required": false,  "schema": {  "type": "string",  "description": "说话人名",  "title": "Speaker Name"  },  "description": "说话人名"  },  {  "name": "speaker_id",  "in": "query",  "required": false,  "schema": {  "type": "integer",  "description": "说话人id，与speaker_name二选一",  "title": "Speaker Id"  },  "description": "说话人id，与speaker_name二选一"  },  {  "name": "sdp_ratio",  "in": "query",  "required": false,  "schema": {  "type": "number",  "description": "SDP/DP混合比",  "default": 0.2,  "title": "Sdp Ratio"  },  "description": "SDP/DP混合比"  },  {  "name": "noise",  "in": "query",  "required": false,  "schema": {  "type": "number",  "description": "感情",  "default": 0.2,  "title": "Noise"  },  "description": "感情"  },  {  "name": "noisew",  "in": "query",  "required": false,  "schema": {  "type": "number",  "description": "音素长度",  "default": 0.9,  "title": "Noisew"  },  "description": "音素长度"  },  {  "name": "length",  "in": "query",  "required": false,  "schema": {  "type": "number",  "description": "语速",  "default": 1,  "title": "Length"  },  "description": "语速"  },  {  "name": "language",  "in": "query",  "required": false,  "schema": {  "type": "string",  "description": "语言",  "title": "Language"  },  "description": "语言"  },  {  "name": "auto_translate",  "in": "query",  "required": false,  "schema": {  "type": "boolean",  "description": "自动翻译",  "default": false,  "title": "Auto Translate"  },  "description": "自动翻译"  },  {  "name": "auto_split",  "in": "query",  "required": false,  "schema": {  "type": "boolean",  "description": "自动切分",  "default": false,  "title": "Auto Split"  },  "description": "自动切分"  },  {  "name": "emotion",  "in": "query",  "required": false,  "schema": {  "anyOf": [  {  "type": "integer"  },  {  "type": "string"  },  {  "type": "null"  }  ],  "description": "emo",  "title": "Emotion"  },  "description": "emo"  }  ],  "responses": {  "200": {  "description": "Successful Response",  "content": {  "application/json": {  "schema": {}  }  }  },  "422": {  "description": "Validation Error",  "content": {  "application/json": {  "schema": {  "$ref": "#/components/schemas/HTTPValidationError"  }  }  }  }  }  }  },  "/models/info": {  "get": {  "summary": "Get Loaded Models Info",  "description": "获取已加载模型信息",  "operationId": "get_loaded_models_info_models_info_get",  "responses": {  "200": {  "description": "Successful Response",  "content": {  "application/json": {  "schema": {}  }  }  }  }  }  },  "/models/delete": {  "get": {  "summary": "Delete Model",  "description": "删除指定模型",  "operationId": "delete_model_models_delete_get",  "parameters": [  {  "name": "model_id",  "in": "query",  "required": true,  "schema": {  "type": "integer",  "description": "删除模型id",  "title": "Model Id"  },  "description": "删除模型id"  }  ],  "responses": {  "200": {  "description": "Successful Response",  "content": {  "application/json": {  "schema": {}  }  }  },  "422": {  "description": "Validation Error",  "content": {  "application/json": {  "schema": {  "$ref": "#/components/schemas/HTTPValidationError"  }  }  }  }  }  }  },  "/models/add": {  "get": {  "summary": "Add Model",  "description": "添加指定模型：允许重复添加相同路径模型，且不重复占用内存",  "operationId": "add_model_models_add_get",  "parameters": [  {  "name": "model_path",  "in": "query",  "required": true,  "schema": {  "type": "string",  "description": "添加模型路径",  "title": "Model Path"  },  "description": "添加模型路径"  },  {  "name": "config_path",  "in": "query",  "required": false,  "schema": {  "type": "string",  "description": "添加模型配置文件路径，不填则使用./config.json或../config.json",  "title": "Config Path"  },  "description": "添加模型配置文件路径，不填则使用./config.json或../config.json"  },  {  "name": "device",  "in": "query",  "required": false,  "schema": {  "type": "string",  "description": "推理使用设备",  "default": "cuda",  "title": "Device"  },  "description": "推理使用设备"  },  {  "name": "language",  "in": "query",  "required": false,  "schema": {  "type": "string",  "description": "模型默认语言",  "default": "ZH",  "title": "Language"  },  "description": "模型默认语言"  }  ],  "responses": {  "200": {  "description": "Successful Response",  "content": {  "application/json": {  "schema": {}  }  }  },  "422": {  "description": "Validation Error",  "content": {  "application/json": {  "schema": {  "$ref": "#/components/schemas/HTTPValidationError"  }  }  }  }  }  }  },  "/models/get_unloaded": {  "get": {  "summary": "Get Unloaded Models Info",  "description": "获取未加载模型",  "operationId": "get_unloaded_models_info_models_get_unloaded_get",  "parameters": [  {  "name": "root_dir",  "in": "query",  "required": false,  "schema": {  "type": "string",  "description": "搜索根目录",  "default": "Data",  "title": "Root Dir"  },  "description": "搜索根目录"  }  ],  "responses": {  "200": {  "description": "Successful Response",  "content": {  "application/json": {  "schema": {}  }  }  },  "422": {  "description": "Validation Error",  "content": {  "application/json": {  "schema": {  "$ref": "#/components/schemas/HTTPValidationError"  }  }  }  }  }  }  },  "/models/get_local": {  "get": {  "summary": "Get Local Models Info",  "description": "获取全部本地模型",  "operationId": "get_local_models_info_models_get_local_get",  "parameters": [  {  "name": "root_dir",  "in": "query",  "required": false,  "schema": {  "type": "string",  "description": "搜索根目录",  "default": "Data",  "title": "Root Dir"  },  "description": "搜索根目录"  }  ],  "responses": {  "200": {  "description": "Successful Response",  "content": {  "application/json": {  "schema": {}  }  }  },  "422": {  "description": "Validation Error",  "content": {  "application/json": {  "schema": {  "$ref": "#/components/schemas/HTTPValidationError"  }  }  }  }  }  }  },  "/status": {  "get": {  "summary": "Get Status",  "description": "获取电脑运行状态",  "operationId": "get_status_status_get",  "responses": {  "200": {  "description": "Successful Response",  "content": {  "application/json": {  "schema": {}  }  }  }  }  }  },  "/tools/translate": {  "get": {  "summary": "Translate",  "description": "翻译",  "operationId": "translate_tools_translate_get",  "parameters": [  {  "name": "texts",  "in": "query",  "required": true,  "schema": {  "type": "string",  "description": "待翻译文本",  "title": "Texts"  },  "description": "待翻译文本"  },  {  "name": "to_language",  "in": "query",  "required": true,  "schema": {  "type": "string",  "description": "翻译目标语言",  "title": "To Language"  },  "description": "翻译目标语言"  }  ],  "responses": {  "200": {  "description": "Successful Response",  "content": {  "application/json": {  "schema": {}  }  }  },  "422": {  "description": "Validation Error",  "content": {  "application/json": {  "schema": {  "$ref": "#/components/schemas/HTTPValidationError"  }  }  }  }  }  }  },  "/tools/random_example": {  "get": {  "summary": "Random Example",  "description": "获取一个随机音频+文本，用于对比，音频会从本地目录随机选择。",  "operationId": "random_example_tools_random_example_get",  "parameters": [  {  "name": "language",  "in": "query",  "required": false,  "schema": {  "type": "string",  "description": "指定语言，未指定则随机返回",  "title": "Language"  },  "description": "指定语言，未指定则随机返回"  },  {  "name": "root_dir",  "in": "query",  "required": false,  "schema": {  "type": "string",  "description": "搜索根目录",  "default": "Data",  "title": "Root Dir"  },  "description": "搜索根目录"  }  ],  "responses": {  "200": {  "description": "Successful Response",  "content": {  "application/json": {  "schema": {}  }  }  },  "422": {  "description": "Validation Error",  "content": {  "application/json": {  "schema": {  "$ref": "#/components/schemas/HTTPValidationError"  }  }  }  }  }  }  },  "/tools/get_audio": {  "get": {  "summary": "Get Audio",  "operationId": "get_audio_tools_get_audio_get",  "parameters": [  {  "name": "path",  "in": "query",  "required": true,  "schema": {  "type": "string",  "description": "本地音频路径",  "title": "Path"  },  "description": "本地音频路径"  }  ],  "responses": {  "200": {  "description": "Successful Response",  "content": {  "application/json": {  "schema": {}  }  }  },  "422": {  "description": "Validation Error",  "content": {  "application/json": {  "schema": {  "$ref": "#/components/schemas/HTTPValidationError"  }  }  }  }  }  }  }  },  "components": {  "schemas": {  "Body_voice_voice_post": {  "properties": {  "text": {  "type": "string",  "title": "Text"  },  "reference_audio": {  "type": "string",  "format": "binary",  "title": "Reference Audio"  }  },  "type": "object",  "required": [  "text"  ],  "title": "Body_voice_voice_post"  },  "HTTPValidationError": {  "properties": {  "detail": {  "items": {  "$ref": "#/components/schemas/ValidationError"  },  "type": "array",  "title": "Detail"  }  },  "type": "object",  "title": "HTTPValidationError"  },  "ValidationError": {  "properties": {  "loc": {  "items": {  "anyOf": [  {  "type": "string"  },  {  "type": "integer"  }  ]  },  "type": "array",  "title": "Location"  },  "msg": {  "type": "string",  "title": "Message"  },  "type": {  "type": "string",  "title": "Error Type"  }  },  "type": "object",  "required": [  "loc",  "msg",  "type"  ],  "title": "ValidationError"  }  }  }  
}

最后奉上Bert-vits2-v2.2本地训练推理整合包：

https://pan.baidu.com/s/1OVX9seRwZR6bZ-xsE_nRLg?pwd=v3uc

与众乡亲同飨。

本文来自互联网用户投稿，该文观点仅代表作者本人，不代表本站立场。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如若转载，请注明出处：http://www.rhkb.cn/news/221075.html

如若内容造成侵权/违法违规/事实不符，请联系长河编程网进行投诉反馈email:809451989@qq.com，一经查实，立即删除！

相关文章

基于PHP的蛋糕购物商城系统

基于PHP的蛋糕购物商城系统

有需要请加文章底部Q哦 可远程调试 基于PHP的蛋糕购物商城系统 一 介绍 此蛋糕购物商城基于原生PHP开发，数据库mysql，前端bootstrap。系统角色分为用户和管理员。 技术栈：phpmysqlbootstrapphpstudyvscode 二 功能 用户 1 注册/登录/注销…
阅读更多...
【深度学习】序列生成模型（五）：评价方法计算实例：计算BLEU-N得分【理论到程序】

【深度学习】序列生成模型（五）：评价方法计算实例：计算BLEU-N得分【理论到程序】

文章目录 一、BLEU-N得分（Bilingual Evaluation Understudy）1. 定义2. 计算N1N2BLEU-N 得分 3. 程序 给定一个生成序列“The cat sat on the mat”和两个参考序列“The cat is on the mat”“The bird sat on the bush”分别计算BLEU-N和ROUGE-N得分(N1或…
阅读更多...
css实现0.5px宽度/高度显——属性： transform: scale

css实现0.5px宽度/高度显——属性： transform: scale

在大多数设备上，实际上无法直接使用 CSS 来精确地创建 0.5 像素的边框。因为大多数屏幕的最小渲染单位是一个物理像素，所以通常只能以整数像素单位渲染边框。但是，有一些技巧可以模拟出看起来像是 0.5 像素的边框。 这里介绍使用&#xff1a…
阅读更多...
阶段十-springsecurity总结

阶段十-springsecurity总结

jwt认证流程 SpringSecurity 认证过程 第一步： 创建一个类实现UserDetailsService接口，重写其中的方法 通过重写 public UserDetails loadUserByUsername(String username) 方法 从数据库校验用户输入的用户名 配置SecurityConfig Bean注入 Passwor…
阅读更多...
node.js mongoose aggregate

node.js mongoose aggregate

目录 官方文档 简述 Aggregate的原型方法 aggregate进行操作 官方文档 Mongoose v8.0.3: Aggregate 简述 在 Mongoose 中，Aggregate 是用于执行 MongoDB 聚合操作的类。MongoDB 聚合操作是一种强大的数据处理工具，可以用于对集合中的文档进行变换和…
阅读更多...
1.【分布式】分布式事务详解

1.【分布式】分布式事务详解

分布式事务 1.分布式事务是什么？数据库事务 2.分布式事务产生的原因？存储层拆分服务层拆分 3.分布式事务解决方案4.分布式事务有哪些开源组件SeateTCC 分布式服务组件基于消息补偿的最终一致性 5.两阶段提交，三阶段协议详解二阶段提交协议三阶…
阅读更多...
单片机应用实例：LED显示电脑电子钟

单片机应用实例：LED显示电脑电子钟

本例介绍一种用LED制作的电脑电子钟（电脑万年历）。其制作完成装潢后的照片如下图： 上图中，年、月、日及时间选用的是1.2寸共阳数码管，星期选用的是2.3寸数码管，温度选用的是0.5寸数码管，也可根据…
阅读更多...
文件操作（下）

文件操作（下）

标题的顺序是接着之前写的，希望这篇博客对你有帮助 七. 随机读写函数 实际上，无论是读还是写，在一次调用顺序读写函数，文件指针会移到已经读过或者写过的下一个位置，从那个位置开始下一次读和写（在文件没有…
阅读更多...
Ansible常用模块详解（附各模块应用实例和Ansible环境安装部署）

Ansible常用模块详解（附各模块应用实例和Ansible环境安装部署）

目录 一、ansible概述 1、简介 2、Ansible主要功能： 3、Ansible的另一个特点：所有模块都是幂等性 4、Ansible的优点： 5、Ansible的四大组件： 二、ansible环境部署： 1、环境： 2、安装ansible&#…
阅读更多...
QT Widget - 随便画个圆

QT Widget - 随便画个圆

简介 实现在界面中画一个圆, 其实目的是想画一个LED效果的圆。代码 #include <QApplication> #include <QWidget> #include <QPainter> #include <QColor> #include <QPen>class LEDWidget : public QWidget { public:LEDWidget(QWidget *pare…
阅读更多...
WPF仿网易云搭建笔记(7):HandyControl重构

WPF仿网易云搭建笔记(7):HandyControl重构

文章目录 专栏和Gitee仓库前言相关文章 新建项目项目环境项目结构 代码结果结尾 专栏和Gitee仓库 WPF仿网易云 Gitee仓库 WPF仿网易云 CSDN博客专栏 前言 最近我发现Material Design UI的功能比较简单&#xff0c;想实现一些比较简单的功能&#xff0c;比如消息提示&#xff0…
阅读更多...
智能物联网汽车3d虚拟漫游展示增强消费者对品牌的认同感和归属感

智能物联网汽车3d虚拟漫游展示增强消费者对品牌的认同感和归属感

汽车3D虚拟展示系统是一种基于web3D开发建模和VR虚拟现实技术制作的360度立体化三维汽车全景展示。它通过计算机1:1模拟真实的汽车外观、内饰和驾驶体验&#xff0c;让消费者在购车前就能够更加深入地了解车辆的性能、特点和设计风格。 华锐视点云展平台是一个专业的三维虚拟展…
阅读更多...
音乐制作软件Studio One mac软件特点

音乐制作软件Studio One mac软件特点

Studio One mac是一款专业的音乐制作软件&#xff0c;由美国PreSonus公司开发。该软件提供了全面的音频编辑和混音功能&#xff0c;包括录制、编曲、合成、采样等多种工具&#xff0c;可用于制作各种类型的音乐&#xff0c;如流行音乐、电子音乐、摇滚乐等。 Studio One mac软件…
阅读更多...
Elasticsearch 索引生命周期和翻滚 (rollover) 策略

Elasticsearch 索引生命周期和翻滚 (rollover) 策略

Elasticsearch 是搜索引擎中的摇滚明星&#xff0c;它的蓬勃发展在于使你的数据井井有条且速度快如闪电。 但当你的数据成为一场摇滚音乐会时&#xff0c;管理其生命周期就变得至关重要。 正确使用索引生命周期管理 (ILM) 和 rollover 策略&#xff0c;你的后台工作人员可确保顺…
阅读更多...
[Toolschain cpp ros cmakelist python vscode] 记录写每次项目重复的设置和配置 不断更新

[Toolschain cpp ros cmakelist python vscode] 记录写每次项目重复的设置和配置 不断更新

写在前面 用以前的设置&#xff0c;快速配置项目&#xff0c;以防长久不用忘记&#xff0c;部分资料在资源文件里还没有整理 outline cmakelist 复用vscode 找到头文件vscode debug现有代码直接关联远端gitros杂记repo 杂记glog杂记 cmakelist 复用 包含了根据系统路径找库…
阅读更多...
龙迅LT6211B，HDMI1.4转LVDS，应用于AR/VR市场

龙迅LT6211B，HDMI1.4转LVDS，应用于AR/VR市场

产品描述 LT6211B 是一款用于 VR/ 显示应用的高性能 HDMI1.4 至 LVDS 芯片。 对于 LVDS 输出&#xff0c;LT6211B 可配置为单端口、双端口或四端口。对于2D视频流&#xff0c;同一视频流可以映射到两个单独的面板&#xff0c;对于3D视频格式&#xff0c;左侧数据可以发送到一个…
阅读更多...
深入理解 HTTP 和 HTTPS：提升你的网站安全性(下)

深入理解 HTTP 和 HTTPS：提升你的网站安全性(下)

&#x1f90d; 前端开发工程师&#xff08;主业&#xff09;、技术博主&#xff08;副业&#xff09;、已过CET6 &#x1f368; 阿珊和她的猫_CSDN个人主页 &#x1f560; 牛客高级专题作者、在牛客打造高质量专栏《前端面试必备》 &#x1f35a; 蓝桥云课签约作者、已在蓝桥云…
阅读更多...
PowerQuery：不会直接访问数据源，请重新生成此数据组合

PowerQuery：不会直接访问数据源，请重新生成此数据组合

报错信息&#xff1a; ⚠️ Formula.Firewall: 查询“到货表_已有数据”(步骤“删除的其他列”) 将引用其他查询或步骤&#xff0c;因此可能不会直接访问数据源。请重新生成此数据组合。 查询“”将引用其他查询或步骤&#xff0c;因此可能不会直接访问数据源&#xff0c;请重…
阅读更多...
YOLOv8改进 | 主干篇 | 轻量级网络ShuffleNetV1（附代码+修改教程）

YOLOv8改进 | 主干篇 | 轻量级网络ShuffleNetV1（附代码+修改教程）

一、本文内容 本文给大家带来的改进内容是ShuffleNetV1&#xff0c;这是一种为移动设备设计的高效CNN架构。它通过使用点群卷积和通道混洗等操作&#xff0c;减少了计算成本&#xff0c;同时保持了准确性&#xff0c;通过这些技术&#xff0c;ShuffleNet在降低计算复杂度的同时…
阅读更多...
Chromadb词向量数据库总结

Chromadb词向量数据库总结

简介 Chroma 词向量数据库是一个用于自然语言处理&#xff08;NLP&#xff09;和机器学习的工具&#xff0c;它主要用于词嵌入&#xff08;word embeddings&#xff09;。词向量是将单词转换为向量表示的技术&#xff0c;可以捕获单词之间的语义和语法关系&#xff0c;使得计算…
阅读更多...
最新文章
推荐文章

Copyright @ 2022~2023