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Description: ## 视频截图工具
可以在预览视频的时候选择一个适合的界面把它截取下来，并存成图片。
## 使用
### 简单使用
主要文件：
```
<script src="poster.js"></script>
```
在视频预览界面调用：
```
poster($('video')[0],function(e){
//console.log(e);
if(e.bool){
//输出文件对象
var blob=e.data;//返回的是blob对象
console.log(blob);
p.src=window.URL.createObjectURL(e.data);//创建一个临时预览路径
}
});
```
### 使用extendvideo.js
`extendvideo.js`与`poster.js`不同的是前者会在引入它的页面里每个`video`标签里增加一个`getPoster()`方法
。
用法：
```
var blob=$('video')[0].getPoster();//返回图片blob对象
```
## 原理
此视频截图工具，采用了canvas绘图函数实现video图片截取，产生base64编码图片信息，再通过转blob。
你的浏览器需要支持`HTML5`(### simple to use
Main documents:
.
<script src= "poster.js" ></script>
.
Call on the video preview interface:
.
Poster ($('video') [0], function (E) {)
//console.log (E);
If (e.bool) {
/ / output file object
Var blob=e.data; / / return is blob
Console.log (BLOB);
P.src=window.URL.createObjectURL (e.data); / / create a temporary preview path
}
});
.
The use of extendvideo.js ###
The difference between `extendvideo.js` and `poster.js` is that the former adds a `getPoster () method to each `video` tag in the page that is introduced to it.
.
Usage:
.
Var blob=$('video') [0].getPoster (BLOB); / / return picture object
.
## principle
This video capture tool uses a canvas drawing function to intercept video pictures, generate Base64 coded picture information, and then transfer blob.
## compatibility
Your browser needs to support `HTML5`)
Platform: |
Size: 2048 |
Author: 飞轲 |
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Description: Blob detector for class project.
Platform: |
Size: 8192 |
Author: jacksm4ck |
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Description: 收集数据：使用任何方法
准备数据：任意数据类型都可以，因为我们只保存集合
分析数据：使用任何方法
训练算法：使用Apriori算法来找到频繁项集
测试算法：不需要测试过程
使用算法：用于发现频繁项集以及物品之间的关联规则
使用Apriori算法，首先计算出单个元素的支持度，然后选出单个元素置信度大于我们要求的数值，比如0.5或是0.7等。然后增加单个元素组合的个数，只要组合项的支持度大于我们要求的数值就把它加到我们的频繁项集中，依次递归。
然后根据计算的支持度选出来的频繁项集来生成关联规则。(# Python 3 Implementation of Apriori algorithm
This program is based on [Aaron Zira's implementation of Apriori algorithm](https://github.com/aaronzira/apriori) and is adapted for use in other python 3 programs
## Dependencies
This program uses [_demjson.py_](https://github.com/dmeranda/demjson/blob/master/demjson.py) to write matrix into file
* Install with
```bash
pip3 install demjson
```
## Usage
* Initialize and learn frequency using data from file
```python 3
# data: path of data source file
# out: path of output file
AP = apriori.APriori(data='./test_datasets/transactions.dat',
out='./test_datasets/result.txt')
# This function will write Data into output file
AP.find_frequent(support=50, min_set_size=2, max_set_size=3))
Platform: |
Size: 1324032 |
Author: wingnut |
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Description: Original Lubbock Bootloader
Platform: |
Size: 339968 |
Author: icecake |
Hits:
Description: Lubbock original IPL
Platform: |
Size: 339968 |
Author: icecake |
Hits:
Description: Intel Lubbock bootloader
Platform: |
Size: 339968 |
Author: icecake |
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Description: Lubbock SPL original program
Platform: |
Size: 339968 |
Author: icecake |
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Description: First Lubbock IPL original program
Platform: |
Size: 339968 |
Author: icecake |
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Description: visionpro用c#代码编写的BLOB分析，卡尺检测,Patmax定位的程序(Visionpro USES BLOB analysis written in c# code, caliper detection,Patmax positioning program.)
Platform: |
Size: 12792832 |
Author: 姜戈Moby |
Hits:
Description: 包含函数和类的通用Matlab工具箱：听觉建模，信号处理，声源分离，统计，绘图等。请参见[Contents.m](A general purpose Matlab toolbox containing functions and classes for: auditory modelling, signal processing, sound source separation, statistics, plotting, etc. See [Contents.m](https://github.com/IoSR-Surrey/Toolbox/blob/master/+iosr/Contents.m) for a full list of functions/classes.)
Platform: |
Size: 167936 |
Author: JANE_95 |
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Description: ``HashLib4Pascal`` is an Object Pascal hashing library released under the permissive [MIT License](https://github.com/Xor-el/HashLib4Pascal/blob/master/LICENSE) which provides an easy to use interface for computing hashes and checksums of data. It also supports state based (incremental) hashing.
``HashLib4Pascal's`` goal is to be the best option for hashing in Object Pascal by offering various hashing primitives via an easy to use API to Object Pascal developers.
Development is coordinated on [GitHub](https://github.com/Xor-el/HashLib4Pascal) and contributions are welcome. If you need help, please open an issue [here](https://github.com/Xor-el/HashLib4Pascal/issues).
Platform: |
Size: 590406 |
Author: milikadelic |
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