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)
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
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。
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)的更多相关文章
- Bert不完全手册8. 预训练不要停！Continue Pretraining
paper: Don't stop Pretraining: Adapt Language Models to Domains and Tasks GitHub: https://github.com ...
- DeepSpeed Chat: 一键式RLHF训练，让你的类ChatGPT千亿大模型提速省钱15倍
DeepSpeed Chat: 一键式RLHF训练,让你的类ChatGPT千亿大模型提速省钱15倍 1. 概述 近日来,ChatGPT及类似模型引发了人工智能(AI)领域的一场风潮. 这场风潮对数字世 ...
- maven向本地仓库导入jar包（处理官网没有的jar包）
对于官网没有的jar包,maven向本地仓库导入jar包用如下命令 mvn install:install-file -DgroupId=包名 -DartifactId=项目名 -Dversion=版 ...
- Intellij IDEA 像eclipse那样给maven添加依赖，且Intellij idea里在pom.xml里添加Maven依赖，本地仓库下拉列表显示包很少的血的经验
打开pom.xml,在它里面使用快捷键:ALT+Insert ————>点击dependency 再输入想要添加的依赖关键字,比如:输个spring 出现下图: 根据需求选择版本,完成以后 ...
- 网络编程 -- RPC实现原理 -- RPC -- 迭代版本V2 -- 本地方法调用 整合 Spring
网络编程 -- RPC实现原理 -- 目录 啦啦啦 V2——RPC -- 本地方法调用 + Spring 1. 配置applicationContext.xml文件 注入 bean 及 管理 bean ...
- xmake v2.2.2, 让C/C++拥有包依赖自动构建
前言 历经四个多月,xmake终于更新了新版本v2.2.2,并且上线了重量级功能:原生支持的远程依赖包管理. 而这个特性,其实我陆陆续续写了将近一年的时间,才初步完成,对于此特性的开发进展和历史,有兴 ...
- Maven打包时囊括本地依赖的jar包
在开发中,偶尔会遇到一个问题:某些比较冷门的包,maven服务器上没有,而我们又必须用,通常情况下会在项目中建立一个lib文件夹.将这些包copy进去并加入buildpath,开发就可以继续了,如下图 ...
- virtualbox中新版本Ubuntu安装软件增强包后重启无限登录界面的解决办法
原来我虚拟机版本是4.2.10,装的Ubuntu3.3,因为版本过老使用出现了一些问题,于是换成14.04,安装成功,但是装增强包的时候,装完重启,无限登录界面,密码是对的. 看了网上的很多方法,什么 ...
- nexus私服服务器意外关机后，本地不能下载jar包
主要记录一个小问题. 今天要做个需求,需要读取word文档中的表格来在生成数据库建表语句. 读取word文档,要添加maven依赖 <dependency> <groupId> ...
- maven引入本地jar 打jar包
没搭建私服的情况下引入本地的jar,并把本地jar打包进项目的run jar 以打包引入hadoop-common-2.7.5.jar为例 引用 复制jar包所在的路径 打开cmd命令提示符 切换路径 ...
随机推荐
- Vue【原创】日历组件Calendar
最近项目中封装了一个日历组件,用于节假日管理,支持输入默认选中的日期,选择管理日期. 效果图: calendar组件: 1 <template> 2 <div class=" ...
- API接口开发管理平台--多领域企业数字化管理解决方案
随着数字化时代的到来,企业需要进行数字化转型才能更好地适应市场需求和用户需求.而API接口则是数字化转型中的重要组成部分,可以帮助企业更好地管理信息,提高效率.本文将介绍挖数据解决方案--API接口开 ...
- Node.js 使用 officecrypto-tool 读取加密的 Excel (xls, xlsx) 和 Word( docx)文档
Node.js 使用 officecrypto-tool 读取加密的 Excel (xls, xlsx) 和 Word( docx)文档, 还支持 xlsx 和 docx 文件的加密(具体使用看文档) ...
- 【项目源码】JSP超市积分管理系统源码下载
会员积分管理系统的目标是为中小规模的会员积分管理系统的目标是为中小规模的超市提供会员信息管理.会员积分管理以及积分兑换管理的具体解决方案. 网站和积分管理系统采用B/S结构,使用J2EE的技术开发完成 ...
- iframe子窗口调用父窗口方法
//一个iframe页面调用另一个iframe页面的方法self.parent.frames["sort_bottom"].mapp($("#id").val( ...
- ionic4请求skynet服务器的资源跨域问题
最近在做一个后台接口, 顺便用ionic4写了个简单的管理后台, 本来skynet管理后台监听的端口是6666, 但是发现chrome默认对一些接口不友善, 虽然可以通过设置启动参数来解决, 但是还是 ...
- HarmonyOS 4.0 实况窗上线！支付宝实现医疗场景智能提醒
本文转载自支付宝体验科技,作者是蚂蚁集团客户端工程师博欢,介绍了支付宝如何基于 HarmonyOS 4.0 实况窗实现医疗场景履约智能提醒. 1.话题背景 8 月 4 日,华为在 HDC(华为 202 ...
- 《流畅的Python》 读书笔记 231007(第二章第一部分)
第2章 数据结构 ABC语言是Python的爸爸~ 很多点子在现在看来都很有 Python 风格:序列的泛型操作.内置的元组和映射类型.用缩进来架构的源码.无需变量声明的强类型 不管是哪种数据结构,字 ...
- 《美英报刊阅读教程（中级精选本）（第五版）》 ISBN: 9787301306864
作者: 端木义万 著 出版社: 北京大学出版社 出版时间: 2019-09 版次: 7 ISBN: 9787301306864 定价: 69.00 装帧: 平装 开本: 16开 纸张: ...
- FFmpeg H.264编码器指南[译]
H264 视频编码器指南 本指引着眼于x264编码器,这里假设你的FFmpeg 编译了--enable-libx264支持.如果你需要编译支持的帮助请看这篇文档:https://trac.ffmpeg ...