blob

How is a blob column annotated in Hibernate? So far I have a class that has: @Column( name = "FILEIMAGE" ) private byte[ ] fileimage ; // public byte[ ] getFileimage ( ) { return this.fileimage ; } public void setFilename ( String filename ) { this.filename = filename ; } @Lob should do the trick for blob and clob (use String as type) @Column( name = "FILEIMAGE" ) @Lob(type = LobType.BLOB) private byte[] fileimage; Mingwei Wu I used hibernate 4 in JBoss 7 and Java 7, and found out the BLOB column in my table doesn't work like what I have for hibernate 2. Fortunately, I solved it by reading

$("#NoBidsChart").get(0).toBlob(function(value) { saveAs(value, "Summary.jpg"); }); Here i am using Chart JS(v2.5.0) for rendering charts. When i try to export the charts using Canvas to Blob converter and filesaver.js, i get the black background. So how do i get the image with customized background color(preferably white)? If you want a customized background color then, you'd have to draw a background with your preferred color, and you can do so, like this ... var backgroundColor = 'white'; Chart.plugins.register({ beforeDraw: function(c) { var ctx = c.chart.ctx; ctx.fillStyle =

采用前端录音，Websocket搭建Node服务器，音频对象Blob使用Websocket传给后端服务器后写入本地音频文件，然后调用百度AI语音识别本地音频文件，最后将识别结果传给前端显示。 百度语音识别 查看文档知道了我想要的信息，如果想要实现实时语音识别、长时间段的语音、唤醒词功能、语义解析功能，需要使用 Android 、 IOS SDK 或者 Linux C++ SDK 版本，而我使用的 Nodejs SDK 是不支持的。 1、规格参数要求 语音时长上线为60s，超出讲返回错误 原始录音文件为 pcm 、 wav 或者 amr 格式，不区分大小写，推荐使用 pcm 录音采样率为16000，声道为单通道 支持普通话、英文、粤语、四川话 项目结构 调用百度AI平台语音识别的 Nodejs SDK ，查看 文档 快速入门，可以查看如何调用。 首先将 nodejs-sdk 下载下来，下载后将目录里的 speech 文件夹拷贝到你的项目文件夹中，其中 assets 是存放录音音频的地方，然后进入 node 文件夹下的位置进行安装依赖包： npm install 我的项目文件夹目录如下： audio_asr_baidu ├─ package-lock.json └─ speech ├─ .gitignore ├─ assets │ ├─ 16k_test.pcm │ └─

MySQL数据类型选择 一 .选择原则 更小的通常更好 ：一般情况下选择可以正确存储数据的最小数据类型。越小的数据类型通常更快，占用磁盘，内存和CPU缓存更小。 简单就好 ：简单的数据类型的操作通常需要更少的CPU周期。例如：整型比字符操作代价要小得多，因为字符集和校对规则(排序规则)使字符比整型比较更加复杂。 尽量避免NULL :尽量制定列为NOT NULL，除非真的需要NULL类型的值。因为可能为NULL列使得索引，索引统计和值比较都更复杂。可为NULL的列会使用更多的存储空间，在MySQL里也需要特殊处理。 二.选择具体数据类型 在选择列的数据类型时需要先选定合适的大类型,如：数字，字符串，时间等。 整数类型 有两种类型的数字：整数和实数。如果需要存储整数，可以选择一下集中数据类型： 数据类型 长度/字节 范围 说明 TINYINT 1 -2^7—2^7-1 整数类型可选UNSIGND属性 SMALLINT 2 -2^15—2^15-1 表示不允许为负值 MEDIUMINT 3 -2^23—2^23-1 这大致可以使整数上限提高一倍 INT 4 -2^31—2^31-1 例如UNSIGNED可以使TINYINT BIGINT 8 -2^63—2^63-1 存储的范围是0—255 *实数类型 实数是带有小数部分的数字。然而它们不只是存储小数部分

I'm using OpenCV to filter an image for certain colours, so I've got a binary image of the detected regions. Now I want to erode those areas and then get rid of the smaller ones, and find the x,y coordinates of the largest 'blob' I was looking for recommendations as to what the best library would be to use? I've seen cvBlob and cvBlobsLib but I'm not too sure how to set them up. Do I want to compile them along with the project or do I want to compile and install them to the system (like I did with OpenCV)? I'm currently using the Code::Blocks IDE on Ubuntu (although that shouldn't restrict

Is it possible to search through blob text using sql statement? I can do select * from $table where f1 like '%foo%' if the f1 is varchar, how about f1 is a blob? Any counter part for this? If you are storing plain text it should be a CLOB, not a BLOB, and then you can still query using LIKE. A BLOB contains binary data that Oracle doesn't know the structure of, so it cannot search it in this way. This works for CLOBs of any length (at least on Oracle 12C): SQL> create table t1 (c clob); Table created. SQL> declare 2 x clob; 3 begin 4 for i in 1..100 loop 5 x := x || rpad('x', 32767, 'x'); 6

Is there a function for appending blob data in JavaScript I currently use the following approach: var bb = new Blob(["Hello world, 2"], { type: "text/plain" }); bb = new Blob([bb, ",another data"], { type: "text/plain" }); And BlobBuilder function is not available in Chrome. Blob s are "immutable" so you can't change one after making it. Constructing a new Blob that appends the data to an existing blob (as you wrote in your initial question) is a good solution. If you don't need to use the Blob each time you append a part, you can just track an array of parts. Then you can continually append