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gali8/Tesseract- OCR -iOS - GitHub
Tesseract OCR iOS. Build Status Coverage Status. Use Tesseract OCR in iOS 9.0+ projects written in either Objective - C or Swift. Easy and fast. These are the ...

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Oct 12, 2019 · TEXT_DETECTION, Perform Optical Character Recognition (OCR) on text within the image. Text detection is optimized for areas of sparse text ...

Although many packages are available for web-based management of a MySQL database, phpMyAdmin (www.phpmyadmin.net) is the most widely installed and sophisticated interface that I have found. Because of its powerful feature set and the fact that it can be installed in an unprivileged user s account in under five minutes, it is the package that I most strongly recommend. Although the documentation is excellent, it is also quite extensive, so here is the five-minute quick-start guide to default installation and configuration: 1. Download the latest stable build (currently version 2.6.1) from www.phpmyadmin.net to your computer. 2. Unpack the archive using your favorite decompression utility, just as you did with Movable Type. 3. Change the name of the uncompressed folder to phpmyadmin (or anything you prefer to the current name) and upload the entire package to the desired location within the web-accessible document root of your web server (for example, in the same directory as your main index file). 4. Inside of the phpmyadmin folder on your computer, find and open the file config.inc.php in a basic text editor. 5. Find the following line:



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OCR implement in Objective C - CodeProject
Start your journey at https://www.google.com/search?q= ocr %20ios[^]; the second link includes source code.

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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.

1334 Multicasting in Wireless Sensor Networks A monitoring task can also be disseminated to all the sensors located in several geocasting regions Assuming that these regions are relatively small, a position-based multicasting protocol [27] can be applied Mauve, Fusler, Widmer, and Lang [27] proposed two multicasting schemes, with some optimizations In the optimalpaths method, each node receiving a multicasting message for a group of nodes will forward it to each neighbor that is closest to one of the group members More precisely, each group member is assigned to the neighbor that is closest to it (provided that neighbor is closer to it than the current node) In the aggregatepaths method, for each neighbor A, the number of destinations for which A is the closest node is determined Then a covering algorithm is applied.





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Jan 28, 2019 · In this ML Kit tutorial, you'll learn how to leverage Google's ML Kit to detect ... If you were adding the Text Recognition API to your app, then you would ... To set up a Firebase account, follow the account setup section in this ... ML Kit · Setting Up ML Kit · Setting Up a Firebase Account · Creating a Text Detector

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Apply computer vision algorithms to perform a variety of tasks on input images and video. SDKs. iOS 11.0+; macOS 10.13+; Mac Catalyst 13.0+; tvOS 11.0+.

Basically, a neighbor is chosen that covers the maximum number of destinations, these destinations (and other nodes for which a selected node makes some progress) are eliminated from the list, then another neighbor is chosen that covers the maximal number of remaining destinations, and so on The forwarding list of multicast group is similarly changed as in the previous algorithm [27] In both schemes, if no neighbor is closer to one or more destinations, then the recovery mode in the GFG algorithm [12] is applied The virtual destination used for the recovery mode is calculated as the position representing the average of the positions of the affected destination nodes When a node receives a multicast packet in recovery mode, it checks for each destination, if it is closer to that destination than the node where the packet entered recovery mode.

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Download OpenCV for iOS from OpenCV.org/downloads.html; I have found adaptive thresholding to ... https://github.com/garnele007/SwiftOCR

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With ML Kit's text recognition APIs, you can recognize text in any Latin-based language (and more, with Cloud-based text recognition). Text recognition can ... iOS · Android · OCR Language Support

For all destinations where this is the case, greedy multicast forwarding can be resumed, as described in the corresponding scheme For all other destinations, recovery mode is continued, with an updated average of positions of affected nodes (those not recovered yet) Both optimal- and aggregate-path methods can be modi ed by considering metrics different from hop count, such as power, cost, or delay Greedy routing can be replaced by power and/or cost-aware routing (see 12), and forwarding neighbors will be judged based on the metric in question, combined with their coverage ability, for their selection 134 DATA GATHERING BASED ON MEMORIZED BROADCASTING TREES Sensors (or their CHs, when they are clustered), may report back to the sink using a tree structure that is constructed together with the task allocation from the sink.

This tree is referred to here as the broadcasting tree, since it is usually set during the broadcasting operation It sends task allocation and other (eg, sink position) information from the sink to all the sensors in the network The use of broadcasting tree also implies the need to memorize some information made available during broadcasting process, which is then used in the reporting phase The broadcasting tree consists of links along which the sensors learned about the position of the sink(s) Therefore, the sink monitoring implicitly informs the sensors that link to be used for replying Sensors then create links for reporting along the reverse broadcast tree This term is used, since reporting is normally applied in the direction that is.

Figure 4.1 Diagram on possible combinations between BC and non-absorbing materials in soot particles. (Based on [26].)

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Tesseract OCR Tutorial for iOS | raywenderlich.com
20 May 2019 ... Tesseract OCR iOS requires you to add tessdata as a referenced folder. Drag the tessdata folder from Finder to the Love In A Snap folder in Xcode's left-hand Project navigator. Select Copy items if needed. Set the Added Folders option to Create folder references.

ios + text recognition

Converting a Vision VNTextObservation to a String - Stack Overflow
Note Google Vision Text Recognition - Android sdk has text detection but also has iOS cocoapod. So keep an eye on it as should add text recognition to the iOS​ ...












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