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swiftocr tutorial: Jun 8, 2018 · From constructing a Convolutional Neural Network to deploying an OCR to iOS. The Motivation for the Pro ...



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Dec 10, 2018 · A showcase of interacting with the Google Cloud Vision API to recognize text in the wild from within a Swift iOS application.

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Jun 22, 2018 · Text recognition​​ So I gave it a try. ... Tesseract is a “is an optical character recognition engine for various operating systems. It is free software, released under the Apache License, Version 2.0, and development has been sponsored by Google since 2006”. The iOS port is open source on GitHub and has CocoaPods support.

However, if such simplifying assumptions cannot be justi ed, it will often be preferable to obtain an approximate (though still accurate) solution of the full Richards Equation using so-called numerical methods (see Section 1043), most notably nite difference and nite element methods (eg Huyakorn and Pinder 1983) While these methods were derived long ago, their implementation was extremely time-consuming prior to the advent of digital computers Thus it was.



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Fast and simple OCR library written in Swift. ocr swift ... A Python wrapper for the tesseract-ocr API ... The native node.js bindings to the Tesseract OCR project.

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8 Best OCR Apps for iPhone to Scan Images to Text | TechWiser
2 May 2019 ... Here are some of the best OCR apps for iOS platform that will let you digitize your paper world, sign docs, and colloborate in the cloud.

Turbo codes are so named because of their iterative soft-decision decoding process, which enables the combination of relatively simple RSC codes to achieve near-optimum performance. Turbo decoding involves iterative exchange between the constituent decoders of progressively better estimates of the message bits, in a decoding procedure that is helped by the statistical independence of the two code sequences generated by each input bit. The turbo decoder is shown in Figure 7.2. In the decoding procedure, each decoder takes into account the information provided by the samples of the channel, which correspond to the systematic (message) and parity bits,

1 1 X1

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garnele007/SwiftOCR: Fast and simple OCR library written ... - GitHub
GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.​ ... ocr swift ocr-library optical-character-recognition ocr-engine ios macos.​ ... It uses a neural network for image recognition.

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8 Best OCR Apps for iPhone to Scan Images to Text | TechWiser
2 May 2019 ... Here are some of the best OCR apps for iOS platform that will let you ... While the native notes app lets you scan documents, it's still doesn't have OCR for ... QR and barcode scanner; Send Fax; Support for iOS 12 Shortcuts.

equivalent with loudness rating. The method recommended to determine loudness rating eliminates the need for subjective determinations of loudness loss in terms of corrected reference equivalent. The concept of overall loudness loss (OLR) is very similar to the ORE concept used with reference equivalent. Table 3.1 gives opinion results for various values of OLR in dB. These values are based upon representative laboratory conversation test results for telephone connections in which other characteristics such as circuit noise have little contribution to impairment.

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Building an iOS camera calculator with Core ML's Vision and ...
16 Jul 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 ...

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Feb 15, 2019 · Text Recognition and Translation on iOS Using ML Kit and Google .... Once Firebase is in place, we can begin with our text detection API ...

clock at S2, after a period of time, transactions generated at S1 are going to be much younger than the transactions generated at S2. This will cause S1 s transactions to be given a lower priority when they con ict with S2 s transactions. To solve this problem, we can either use a system clock with which all sites synchronize their local clocks or we can periodically synchronize all the sites clocks with each other. Using either approach will require a large number of messages. Because of this problem, we can use the logical clock readings at each site as part of the global timestamps. When using logical clock (LC) readings drifting can still occur. In this case, sites that generate more transactions have larger LC readings. This again will negatively impact the site s transactions when con icts occur. Let s assume site S1 generates a lot more transactions than site S2 does within a given period of time. If at time t1 the LCs at sites S1 and S2 are both set to 5, it is possible that, at time t2, S1 s clock might be 50 while S2 s clock might only be 20. From this point on, transactions at S1 will get lower priority than the ones at S2. To resolve this issue, we need to synchronize the logical clocks at S1 and S2. Note that it is only important to achieve

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Notice that the frame length scales logarithmically with the number of nodes and quadratically with the maximum degree. For ad hoc networks consisting of thousands of nodes with a sparse topology (i.e., small Dmax), TSMA can yield transmission schedules that are much shorter than TDMA. Table 6.2 compares the frame lengths of TDMA and TSMA for

Illustrated TCP/IP by Matthew G. Naugle Wiley Computer Publishing, John Wiley & Sons, Inc. ISBN: 0471196568 Pub Date: 11/01/98

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discussions on the crisis have served to recast matters of epistemology within disciplines, then we might well take this one step further to consider how the timeworn narrative of a sociological social psychology versus a psychological social psychology simply no longer makes good sense historical or otherwise Social psychology in the twenty- rst century is perhaps no more uniform than it was in the mid-1950s, or at its outset, but this diversity of interests and approaches, including discursive, feminist, sociocultural, hermeneutic, ecological, critical, narrative, and the newer technocultural studies, is part and parcel of this working out of boundaries and problematics To overlook this history is to run into the same trouble of assuming social psychology weathered storms of debate and change, arriving in the twenty- rst century stronger but basically unchanged.

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Jul 13, 2017 · Vision framework was introduced in iOS 11. This introductory tutorials explains how it works, and how you can use it to perform text detection in ...

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Creating a License Plate Reading iOS Application Using OCR ...
21 Jul 2019 ... Full tutorial using different libraries — TesseractOCRiOS, SwiftOCR , .... (There's a lot of YouTube tutorials that can help you with cocoapods ).












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