Textastic Code Editor vs Neural Object Detector

Textastic is a comprehensive and versatile text and code editor for iPad and iPhone. It supports syntax highlighting for more than 80 programming and markup languages. Connect to SFTP, FTP, and WebDAV servers or to your Dropbox account. Use the built-in SSH terminal to work directly on your server. Features: - Syntax highlighting for more than 80 languages, including HTML, JavaScript, CSS, C++, Swift, Objective-C, Rust, XML, Markdown, PHP, Perl, Python, Ruby, Lua, YAML, JSON, SQL, shell scripts, and many more (full list available on the website) - Compatible with Sublime Text 3 and TextMate 1 syntax definitions and themes - Code completion for HTML, CSS, JavaScript, C, Objective-C, and PHP - SFTP (SSH), FTP, FTPS (FTP over SSL), WebDAV, and Dropbox clients - SSH terminal connections - Code formatter for HTML, CSS, JavaScript, and JSON - Git repositories from the Git client app Working Copy can be opened as external folders in Textastic - Emmet support - JavaScript console - iCloud Drive file synchronization - WebDAV server for easy file transfer between Textastic and your Mac or PC over Wi-Fi - Symbol list for quick navigation within a file - Full support for external keyboards, trackpads, and mice - Configurable keyboard shortcuts - Additional keys above the virtual keyboard for frequently used programming characters - Cursor navigation wheel for easy text selection - Move the cursor using swipe gestures - Split View and Slide Over multitasking on iPad - Open multiple files in tabs - Multiple windows on iPadOS - Dark Mode support - Support for common text encodings such as UTF-8, UTF-16, and ISO-8859-1 - Support for different tab widths and soft tabs (spaces instead of tabs) - Custom fonts - Find and Replace, including regular expression search - Find in multiple files - File information such as character and word counts - Local and remote web preview for HTML and Markdown files Pricing: Textastic requires a monthly or yearly subscription or a one-time purchase. Each subscription includes a 7-day free trial with full access to all features. Privacy Policy: https://www.textasticapp.com/privacy.html Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

Neural Object Detector was designed to be used by both developers and people who are enthusiastic about Machine Learning, Computer Vision, and Object Detection / Image Classification using the combination of both. Neural Object Detector, by default is bundled with YOLOv3 model, which is a neural network for fast object detection that detects 80 different classes of objects. In addition to that, the app allows the users to import any custom machine learning model designed for object detection or image classification, with a single tap, the downloaded model can be imported via the Files app import window which is available within the app by simply pressing the plus icon on the models view so users do not have to leave the app. The app, based on the model selected, draws a rounded rectangle over the detected objects, the annotated image can be rendered and saved to photos or shared if the user chooses to share it directly from the app. To meet every users needs a handful of settings for computer vision algorithm and camera resolution can be changed. Users have the option to enable CPU only mode, which helps test their models under that specific condition. In addition to Object Detection, Neural also supports Image Classification, by default, Neural is bundled with Resnet50 Image Classification Model. Core ML* models which are a type of "Pipeline" in the format of *.mlmodel is supported by this app for Object Detection. No other model format is supported as of now. Core ML Supported Tools, Services, and Converters: • Turi Create* - https://github.com/apple/turicreate • IBM Watson Services* - https://developer.apple.com/ibm/ • Core ML Tools* - https://pypi.org/project/coremltools/ • Apache MXNet* - https://github.com/apache/incubator-mxnet/tree/master/tools/coreml • TensorFlow* - https://github.com/tf-coreml/tf-coreml • ONNX* - https://github.com/onnx/onnx-coreml * Turi Create, IBM Watson Services, Core ML, Apache MXNet, TensorFlow, ONNX might be registered trademarks of their respected owners / proprietors. Neural Object Detector nor the developer is not affiliated with any of the above services or companies. YOLOv3 Model bundled with the is app is free, open source model. More info: https://github.com/pjreddie/darknet Resnet50 Model bundled with this app for Image Classification is free, and open source model. More info: https://github.com/fchollet/deep-learning-models/blob/master/LICENSE Visit https://hariharanm.com/neural/acknowledgements/ for Acknowledgments. The machine learning aspects are all proceed on device so nothing leaves the device. No cloud services are involved. No private analytics services. If, a user decides to contact app support a handful of data will be complied into a log file and attached to the mail composer, these data include app version, app configuration, device model, battery info, device software version, CPU utilised my the app. If the user decided not share, they can simply delete it and continue with the composing the support mail. No data is that is individually identifiable is collected. https://hariharanm.com/