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swiftocr cocoapods: garnele007/SwiftOCR: Fast and simple OCR library written ... - GitHub



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swiftocr ios tesseract (1) - Code Examples
ios Tesseract traineddata not working in Swift 3.0 project using version 4.0. I'm attempting to use Tesseract-OCR-iOS in a new Swift 3.0 project. I'm using Xcode  ...

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Cannot build for macOS using CocoaPods · Issue #159 · garnele007 ...
11 Feb 2019 ... When installing SwiftOCR through CocoaPods , it depends on the CocoaPods version of GPUImage (instead of the repository version).

In most cases, a company s total direct labor cost is not so high that it warrants the creation of an elaborate data collection system Instead, the company can either focus on a simple system that collects only the most basic data or install a system that utilizes a greater degree of automated data collection, thereby keeping costs low while still obtaining a high degree of detailed information If a simple data collection system is needed, the easiest possible system to implement is one where employees are assumed to work 40 hours per week and the only need for logging hours is to record overtime, which is recorded on an exception basis and forwarded to the payroll staff who enter the additional overtime costs into the payroll system and generate payments to employees This approach is most useful when a company has a relatively fixed base of direct labor employees who rarely work any additional hours and who also rarely work less than a fixed number of hours er week A further justification for this approach is when a company has such a small amount of direct labor cost that any more elaborate timekeeping system would not be worth the effort to implement This system yields no information whatsoever regarding how the cost of labor is being charged to various jobs It has the singular benefit of being very inexpensive to maintain but at the cost of providing no costing information to management A slightly more complex system is to have direct labor employees fill out timecards that itemize their hours worked each week These timecards are reviewed by the direct labor supervisors for accuracy and then forwarded to the payroll staff, who compile the information and key-punch it into the payroll system This approach is most useful when there is a significant amount of variation in the number of hours worked per week resulting in continuing variations in employee pay from week to week This approach requires considerably more administrative labor because of the large amount of data entry involved; additional labor is also needed to verify the entries made by employees and to investigate and correct any errors.



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Anyline - The Mobile Text Recognition For Your Mobile App
Anyline is a mobile OCR SDK , which enables you to scan numbers and short text within your application. It can be downloaded for all mobile platforms.

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"'iink/graphics/IINKICanvas.h' file not found. #import "iink/graphics/IINKICanvas.h"​. ^. <unknown>:0: error: could not build Objective-C module ...

JIS X 0510 Maker In VS .NET Using Barcode creator for ASP.NET Control to generate, create QR .LogRecord Members Flags Description With the Flags property of the LogRecord class, you can get information about when the og record was written (for example, if the log record was written during prepare, abort, commit, or during a recovery process) Record Accessing the Record property enables you to retrieve the record that was written by the clerk with the WriteLogRecord method Sequence The Sequence property returns an integer representing the sequence number of the log record.Related: 

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Building an iOS camera calculator with Core ML's Vision and ...
16 Jul 2018 ... SwiftOCR allows custom training for new fonts, but because I was lazy, .... Hand With iOS's ML Frameworks: How to use Vision with SwiftOCR . ... Top 7 libraries and packages of the year for Data Science and AI: Python & R.

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Building an iOS camera calculator with Core ML's Vision and ...
Jul 16, 2018 · The project uses Swift 4.1 with base SDK in iOS 11. There are ... For reference, OCR stands for Optical Character Recognition — the process of ...

Services. Making GS1 128 In Java Using Barcode printer for Java Control to generate, create USS .The W3C completed XML by publishing a description language that can be used to define the way in which an XML document must be restored during display or printout. his language, XSL (eXtensible Stylesheet Language), is used to construct style sheets that are applied to the elements of an XML document where they are referenced. XML is now used in numerous domains and gives rise to the definition of new standards that use its syntax: in the domain of graphical applications, the standards for representing vectors, VML (Vector Markup Language) proposed by Microsoft and PGML (Precision Graphics Markup Language) proposed by Adobe; in the domain of multimedia, SMIL (Synchronized Multimedia Integration Language) for representing multimedia elements on a Web page; in the domain of science, MathML (Mathematical formula Markup Language), CML (Chemical Markup Language) and AML (Astronomical Markup Language). In the domain of management, numerous providers of computing solutions have adapted their new products or developments in existing products to the XML language. This fashion has led to the appearance, notably in the domains of industry and finance, of numerous initiatives that have united to make XML into a new document exchange standard (see section 4.3). Unfortunately, when it is a question of manipulating or transforming the data of this type of documents, the analysis required to locate each item of information will have a very serious impact on performance. Moreover, the use of the system of tags considerably burdens the content of each document and can sometimes pose network load problems during the transmission of these document types. This explains why it is appropriate to use XML with discernment (see section 7.2). .Related: 

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Detecting text with VNRecognizeTextRequest in iOS 13 - Ben Dodson
11 Jun 2019 ... However, the text detection only recognized where text was displayed, not the actual content of the text. With the introduction of iOS 13 at ...

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Jul 16, 2018 · Now, with advances in machine learning and vision recognition in iOS, this is doable.​ ... For reference, OCR stands for Optical Character Recognition — the process of converting images to readable text.​ ... Vision Framework: Building on Core ML - WWDC 2017 - Videos - Apple Developer.

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Note that deleting a free branch L may transform fixed branches adjacent o L into free branches. Therefore, an iterative branch filtering procedure is desirable when the compound noise effect is significant. A free branch can be further classified based on the following definition: Definition 8: A free branch L is called a structural, type-1 noise or type-2 noise branch if L has complete, empty, or partial overlap with the geometrical midline of the original object (Figure 20.6). Type-1 noise branches are approximately perpendicular to the midline of the original object and have a characteristic short length, i.e. half the local width of the object. Based on this property of type-1 noise branches, Lee et al. propose a simple branch filtering criterion [12]. If the length of a free branch L, in terms of the total number of voxels in L is below a critical value c, L is identified as a noise branch and removed. However, this length-based criterion suffers several drawbacks: 1. A viable critical branch length c is difficult to determine. 2. Short structural branches (such as branch 1 in Figure 20.6) may be identified mistakenly as noise branches. 3. Long type-2 noise branches (e.g. branch 3 in Figure 20.6) cannot be detected and corrected. We make the following simplifying assumption on the rchitecture of branch L: 1. t pi+1 t pi = 1 for i = 1 2. t pm = m + t p1 1, and 3. t pi = t pm for i = m + 1 m 1. Therefore, n. QR Code 2d Barcode barcode library on .net using asp .Related: 

subject to restrictions described in Legal Information . detail_format event, and fill in the procedure body like . barcode or if you want to generate barcode fonts .Related: 

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advance (though not to strncmp), this complexity is unnecessary; we know the counts are right so checking for the \O wastes time Third, s t r c h r is also complex, since it must look for the character and also watch for the \O byte that terminates the message For a given call to isspam, the message is fixed, so time spent looking for the \O is wasted since we know where the message ends Finally, although strncmp, s t r c h r , and s t r l e n are all efficient in isolation, the overhead of calling these functions is comparable to the cost of the calculation they will perform It's more efficient to do all the work in a special, carefully written version of s t r s t r and avoid calling other functions altogether These sorts of problems are a common source of performance trouble-a routine or interface works well for the typical case, but performs poorly in an unusual case that happens to be central to the program at issue The existing s t r s t r was fine when both the pattern and the string were short and changed each call, but when the string is long and fixed, the overhead is prohibitive With this in mind, s t r s t r was rewritten to walk the pattern and message strings together looking for matches, without calling subroutines The resulting implementation has predictable behavior: it is slightly slower in some cases, but much faster in the spam filter and, most important, is never terrible To verify the new implementation's correctness and performance, a performance test suite was built This suite included not only simple examples like searching for a word in a sentence, but also pathological cases such as looking for a pattern of a single x in a string of a thousand e's and a pattern of a thousand x's in a string of a single e, both of which can be handled badly by naive implementations Such extreme cases are a key part of performance evaluation The library was updated with the new s t r s t r and the sparn filter ran about 30% faster, a good payoff for rewriting a single routine Unfortunately, it was still too slow When solving problems, it's important to ask the right question Up to now, we've been asking for the fastest way to search for a textual pattern in a string But the real problem is to search for a large, fixed set of extual patterns in a long, variable string Put that way, s t r s t r is not so obviously the right solution The most effective way to make a program faster is to use a better algorithm With a clearer idea of the problem, it's time to think about what algorithm would work best The basic loop, f o r ( i = 0 ; i < npat; i++) i f (strstr(mesg, p a t [ i ] ) != NULL) return 1; scans down the message npat independent times; assuming it doesn't find any matches, it examines each byte of the message npat times, for a total of s t r l en (mesg) m p a t comparisons.

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etc Test #3, result shown in Figure 3-3 Number of rows: Fixed at 1,000 Number of columns: Fixed at one Column length: Varying from CHAR(1) to CHAR(10) SQL statements: Fixed at one /div>.The timing numbers shown in Figures 3-1, 3-2, and 3-3 are the result and are averages for the Big Eight Tests were run on a single-processor machine using whatever memory the DBMS chose for its default configuration It's no surprise that an increase in the row count has a geometric effect if you increase the number of rows by a factor of ten, the job takes about twenty times as long to complete We had hoped for a better result That's achievable by adding more processors and more memory, because DBMSs can sort groups of tags in parallel threads and will thresh less if all tags are in memory Surprisingly, an increase in the column count has a more drastic effect than an increase in the column length Remember, total number of bytes was the same in both cases, so the effect is more than illusion The likely explanation is that our DBMSs are using multipass algorithms, comparing only one column at a time The bottom line: Take drastic action to reduce row count for example, by selecting only parts of a table at a time Take severe action to reduce column count for example, by concatenating two columns instead of specifying them separately Take moderate action to reduce column length for example, by using the SUBSTRING function It's also slightly helpful if values are presorted and unique on the first few characters, but Christmas comes only one day a year We make several more tatements about what happens with a sort in the following sections. Bar Code Creator In Java Using Barcode generation for Java .Related: 

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Text Recognition (OCR). Text Recognition allows extracting the words from scans and creating PDFs with text. For OCR our app uses iTunes On-demand ...

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blinkinput/blinkinput-ios: OCR SDK for iOS powered by ... - GitHub
OCR SDK for iOS powered by MicroBlink. ... You can generate a free demo license key, after you register, at Microblink developer dashboard. You can include ...












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