254 lines
7.8 KiB
Markdown
254 lines
7.8 KiB
Markdown
# webp
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- [x] 提供webp生成服务
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- [x] 提供流媒体服务
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- [x] 点击播放之前不加载视频(减少流量消耗)
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- [x] 使用封面图片替代加载视屏第一帧
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通过流媒体服务降低视频文件加载消耗及防止恶意刷流量
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对视频地址添加有效期, 过期需由服务器重新提供token认证观众身份
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可后期增加基于用户账户或cookie信任度评估的视频播放权限认证
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```javascript
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// 请求视频播放地址
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import Hls from 'hls.js'
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import axios from 'axios'
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axios.get('/video?url=' + encodeURIComponent(this.src)).then(res => {
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const img = res.data.VideoBase.CoverURL
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if (img) {
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video.poster = img
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}
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const m3u8 = res.data.PlayInfoList.PlayInfo.find(x => x.Format === 'm3u8')
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if (!m3u8) {
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video.src = this.src
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return console.log('流媒体地址不含m3u8')
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}
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this.player = new Hls({ maxMaxBufferLength: 5, autoStartLoad: false })
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this.player.loadSource(m3u8.PlayURL)
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this.player.attachMedia(video)
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this.player.on(Hls.Events.MANIFEST_PARSED, () => {
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if (this.autoplay) {
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video.play()
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}
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})
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}).catch(err => {
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console.log('未取得流媒体地址')
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video.src = this.src
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})
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```
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```javascript
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// GET /webp/{type}-{id}-{version}-{width}-{height}-{fit}.{format}
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// @type: image avatar article article_attribute ad
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// @id: int 图片ID或是文章ID或是广告ID
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// @version: update_time 时间戳
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// @width: 宽度 1x 2x 3x 倍图直接输入尺寸
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// @height: 高度 1x 2x 3x 倍图直接输入尺寸
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// @fit: 裁切方式 cover contain fill auto
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// GET /img/{type}-{id}.{format}?width=320&height=320&fit=cover
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// 更优雅的实现, 使用查询参数的接口 (不幸的是CDN与OSS都不支持)
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// endpoint: oss-cn-shanghai-internal.aliyuncs.com
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// 获取查询参数
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let queryParam = "example query";
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// 安全地编码查询参数
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let safeParam = encodeURIComponent(queryParam);
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// 创建一个带有安全查询参数的URL
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let url = "http://example.com/tags?param=" + safeParam;
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// 使用fetch API发送请求
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fetch(url)
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.then(response => response.json())
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.then(data => console.log(data))
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.catch(error => console.error('Error:', error));
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```
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## Update
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```bash
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# 静态编译
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go build bin/main.go
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# 上传到服务器
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scp ./main root@47.103.40.152:~/main
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```
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## Dev & Install
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- [gosseract](https://github.com/otiai10/gosseract/tree/v2.2.1)
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- [ocrdoc](https://github.com/tesseract-ocr/tessdoc)
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- [tesseract-ocr - Tesseract command line OCR tool (devel)](https://launchpad.net/~alex-p/+archive/ubuntu/tesseract-ocr-devel)
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```bash
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# ubuntu 安裝 tesseract-ocr
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sudo add-apt-repository ppa:alex-p/tesseract-ocr-devel
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sudo apt update
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sudo apt install tesseract-ocr
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sudo apt install libleptonica-dev
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sudo apt install libtesseract-dev
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# https://i.scwy.net/code/2020/091108-ocr/
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sudo apt install tesseract-ocr
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sudo apt install libtesseract-dev
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sudo apt install tesseract-ocr-chi-sim
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tesseract --list-langs
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# 需要安装依赖
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sudo apt install libopencv-dev
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```
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防止错误 ‘ArucoDetector’ in namespace ‘cv::aruco’ does not name a type
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將安裝的 opencv 版本從 4.2 更改為 4.7，它工作正常。
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```bash
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# E: 无法定位软件包 libdc1394-22-dev
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sudo add-apt-repository "deb http://security.ubuntu.com/ubuntu xenial-security main"
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sudo apt update
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sudo apt upgrade
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sudo apt install libjasper1 libjasper-dev
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# 添加主服务器
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sudo gedit /etc/apt/sources.list
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deb http://archive.ubuntu.com/ubuntu/ trusty main universe restricted multiverse
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sudo apt-get update
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sudo apt update
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sudo apt upgrade
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# GPT 方案
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sudo add-apt-repository universe
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sudo apt update
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sudo apt install libdc1394-22-dev
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apt search libdc1394
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# 手动下载 https://pkgs.org/download/libdc1394-22
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wget http://archive.ubuntu.com/ubuntu/pool/universe/libd/libdc1394-22/libdc1394-22_2.2.5-2.1_amd64.deb
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sudo dpkg -i libdc1394-22_2.2.5-2.1_amd64.deb
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apt search libdc1394
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# 确认安装后注释 Markfile 第52行
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cd gocv
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make install
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# 下载超时请爬墙
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```
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torch 模型文件
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https://d2j0dndfm35trm.cloudfront.net/resnet-50.t7
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https://github.com/facebookarchive/fb.resnet.torch/tree/master/pretrained
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## Document
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通用权重模型接口
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### 获取图片列表(标准查询)
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GET /api/images
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```javascript
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{
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page: 1, // 当前页码
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pageSize: 20, // 分页数
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next: true, // 是否存在下一页
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list: [{
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id: 1234, // 原图ID
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width: 512, // 原图宽度
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height: 512, // 原图高度
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user: { // 来源用户
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id: 1234,
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user_name: 'LAST',
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},
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article: { // 来源文章
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id: 1234,
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title: 'GAMEX',
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}
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}]
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}
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```
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列表视图:(输出控制)
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-------------------------------------------------------------------------------------
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| Method | URL | Info | Status |
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| ------ | ------------------------------ | ---------------------- | ------ |
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| GET | /api/images | 标准顺序查询 | ok |
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| GET | /api/images?page=1&pageSize=20 | 指定页码和指定分页大小 | ok |
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筛选规则:(数据过滤)
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-------------------------------------------------------------------------------------
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| Method | URL | Info | Statu |
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| ------ | ----------------------------- | -------------------------------- | ----- |
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| GET | /api/images?user=1234 | 筛选指定某用户发表的图片 |
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| GET | /api/images?choice=1234 | 筛选指定精选集下的图片 |
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| GET | /api/images?like=1234 | 筛选指定用户点赞的图片 |
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| GET | /api/images?tag=1234 | 筛选含有指定标签的图片 |
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| GET | /api/images?tag=1234,1235 | 筛选含有多个标签之一的图片(并集) |
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| GET | /api/images?tag=1234&tag=1235 | 筛选含有指定多个标签的图片(交集) |
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| GET | /api/images?user=1234&tag=123 | 筛选指定用户的指定标签图片(交集) |
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| GET | /api/images?date=20220214+ | 时间范围(之后) |
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| GET | /api/images?date=20220214- | 时间范围(之前) |
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| GET | /api/images?date=2022~2023 | 时间范围(之间) |
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排序规则:(权重强化)
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-------------------------------------------------------------------------------------
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| Method | URL | Info | Status |
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| ------ | ------------------------ | --------------------------------------- | ------ |
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| GET | /api/images?similar=1234 | 根据指定图片的相似图片(指定图片ID) | ok |
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| GET | /api/images?sort=date+ | 排序规则(相似图片查询时此项无效) |
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| GET | /api/images?sort=like | 根据用户偏好推荐(指定用户的偏好) |
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| GET | /api/images?sort=history | 根据浏览记录推荐(指定用户的记录) |
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| GET | /api/images?sort=choice | 根据精选集推荐(指定精选集ID,取一组权重) |
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* 注意, 筛选规则为多条件取交集, 单条件的复数取并集
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* 权重强化属于排序规则而非过滤规则
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### 獲取任務列表(標準查询)
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GET /api/tasks
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```javascript
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{
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page: 1, // 当前页码
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pageSize: 20, // 分页数
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next: true, // 是否存在下一页
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list: [{
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id: 'xxxxxx', // 任務ID
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type: '', // 任務類型(推理, 訓練)
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data: {}, // 任務執行數據
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create_time: '' // 任務創建時間
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update_time: '' // 任務更新時間
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}],
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}
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```
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Websocket /api/tasks/{task_id}
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```javascript
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{
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// 狀態
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// 進度
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// 結果
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}
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```
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* 通過websocket監聽任務狀態變化
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### 模型(我的|共享|熱門|查詢)
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### 圖片(我的|共享|熱門|查詢)
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### 標籤
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