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The Vision API can detect and extract text from images. There are two annotation features that support optical character recognition (OCR):. TEXT_DETECTION ...

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Quickstart: Extract printed text - REST, Python - Azure Cognitive ...
2 Jul 2019 ... Quickstart: Extract printed text ( OCR ) using the Computer Vision REST ... You must have Python installed if you want to run the sample locally.

Just as there are many data types, there are dozens of functions in XQuery as well . They are organized into multiple categories . I already used the data() function, which is a data accessor function . Some of the most useful XQuery functions supported by SQL Server are:

TABLE 4-10

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Numeric functions String functions upper-case()

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Sep 30, 2019 · Azure's Computer Vision service provides developers with access to ... You can also use the optical character recognition (OCR) API to extract ... Analyze images for insight · Extract text from images

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Compare Online OCR Software: Google Cloud Vision OCR vs ...
Cloud Vision vs Azure OCR vs Free OCR API. Test which online ... Support to create Searchable PDF is only available with the OCR .space API. Scroll down for a ...

frommonth tomonth numorders nummonths 199607 199608 199609 199610 199611 199612 199701 199702 199703 199704 199705 199706 199706 199707 199708 199709 199710 199711 199712 199801 199802 199803 199804 199805 337 348 356 370 382 391 408 430 455 498 541 523 12 12 12 12 12 12 12 12 12 12 12 12

Table Scan/ Unordered Clustered Index Scan Unordered Covering Nonclustered Index Scan Unordered Nonclustered Index Scan + Lookups

ceiling(), floor(), and round()

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To clean up, drop the MonthlyOrders table: DROP TABLE dbo.MonthlyOrders;

concat(), contains(), substring(), string-length(), lower-case(), and not(), true(), and false()

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local-name(), and namespace-uri() count(), min(), max(), avg(), and sum() data(), and string() sql:column(), and sql:variable()

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Dec 1, 2017 · However, with the help of Azure's Cognitive Services, OCR is ... Unlike LUIS, the Computer Vision service is offered in a variety of pricing tiers: ...

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cognitive-services-dotnet-sdk-samples/samples/ ComputerVision at ...
yangyuan and Yuan Yang Fix ComputerVision build failing ... should change the line public const string endpoint = "https://westus. api .cognitive. microsoft .com"; ...

Join algorithms are the physical strategies SQL Server can use to process joins. Prior to SQL Server 7.0, only one join algorithm (called nested loops or loop join) was supported. Since version 7.0, SQL Server supports Merge and Hash join algorithms also.

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You can easily conclude what a function does and what data types it supports from the function and category names . I will use some of them, such as namespace-uri(), later in this chapter . For a complete list of functions with detailed descriptions, please refer to SQL Server Books Online . The following query uses the aggregate functions count() and min() to retrieve information about orders for each customer in an XML document:

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DECLARE @x AS XML; SET @x=' <CustomersOrders> <Customer custid="1" companyname="Customer NRZBB"> <Order orderid="10692" orderdate="2007-10-03T00:00:00" <Order orderid="10702" orderdate="2007-10-13T00:00:00" <Order orderid="10952" orderdate="2008-03-16T00:00:00" </Customer> <Customer custid="2" companyname="Customer MLTDN"> <Order orderid="10308" orderdate="2006-09-18T00:00:00" <Order orderid="10926" orderdate="2008-03-04T00:00:00" </Customer> </CustomersOrders>';

A loop join scans one of the joined tables (the upper table in the graphical query plan), and for each row it searches the matching rows in the other joined table (the lower table in the plan).

0.0001% 0.1%

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Custom Vision - Home
Microsoft Cognitive Services Custom Vision ... Train . Use your labeled images to teach Custom Vision the concepts you care about.

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Jun 13, 2019 · Since UiPath has the Microsoft Azure Computer Vision OCR, ... Yes, I first tried with the free API and Endpoint that i got from Microsoft (without ...

SELECT @x.query(' for $i in //Customer return <OrdersInfo> { $i/@companyname } <NumberOfOrders> { count($i/Order) } </NumberOfOrders> <LastOrder> { max($i/Order/@orderid) } </LastOrder> </OrdersInfo> ');

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The presence of a loop join operator in the execution plan does not indicate whether it's an efficient plan or not. A loop join is a default algorithm that can always be applied. The other algorithms have requirementsfor example, the join must be an equijoin.

As you can see, this XQuery is more complicated than previous examples . I used iterations FLWOR expressions and formatted the XML returned in the return part of the query . I ll discuss iterations and returning values later in this section . For now, treat this query as an example of how you can use aggregate functions in XQuery . The result of this query is:

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<OrdersInfo companyname="Customer NRZBB"> <NumberOfOrders>3</NumberOfOrders> <LastOrder>10952</LastOrder> </OrdersInfo> <OrdersInfo companyname="Customer MLTDN"> <NumberOfOrders>2</NumberOfOrders> <LastOrder>10926</LastOrder> </OrdersInfo>

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Using a loop join is efficient when there's an index on the join column in the larger table, allowing a seek followed by a partial scan. How efficient it is depends on where the index is positioned in this index optimization scale:

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You have plenty of ways to navigate through XML document with XQuery, and this is far from a complete treatment of the topic . Basic ways are XPath expressions . XQuery allows you to specify a path absolutely or relatively from the current node . XQuery takes care of the current position in the document; it means you can refer to a path relatively, starting from the current node, where you navigated to through previous path expression . Every path consists of a sequence of steps, listed from left to right . A complete path might take the following form: Node-name/child::element-name[@attribute-name=value] Steps are separated with slashes; therefore, the path example I am describing has two steps . In the second step you can see in detail from which parts a step can be constructed . A step may consist of three parts:

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The difference is described here in the docs: https://docs.microsoft.com/en-us ... /​concept-recognizing-text#ocr-optical-character-recognition-api.

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Apr 16, 2019 · The image must be presented in JPEG, PNG, BMP, PDF, or TIFF format. ... Computer Vision's optical character recognition (OCR) API is similar ...

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