Git client vs Neural Object Detector

Access Git repositories on the go. Clone, edit, commit and push while allowing other apps access to repositories. Git is a important part of our work-life and iOS can take part in this. The ability to commit even when offline has added utility on a device that moves in and out of network coverage. Cloning repositories gets you a local copy on your iOS device with commits for all branches. You can browse the content from within the app and make changes. Other applications supporting the Files app, WebDAV or x-callback-url has access to these files. Changes made can be committed and the commits can in turn be pushed back to the remote. The idea of doing significant programming on iOS might seem far fetched when you are used to a large screen, a physical keyboard and a full IDE. But just as it turned out that not every email is serious prose, then not everything that goes on in Git is significant programming. Sometimes you just want to update a TODO file or make adjustments to your Jekyll site. Sometimes you just need to add a file the designer sent after hours. If you ever make reminders about small things to do with the code-base, then you should give Working Copy a try. You will spend less time moving stuff around and you will get much better commit messages when you write them for fixes that are still fresh in your mind. You won't be leaving your computer behind any time soon, but sometimes it is faster to just fix things with the device in your hand. When you do need to perform real work on iOS, Working Copy is a powerful tool. Editor has syntax highlighting for more than 50 programming languages and a built-in color picker. Preview images, Markdown and HTML files with a Javascript console pointing to errors in your code. Create new branches and merge or rebase them back, with a brilliant merge-tool for handling conflicts. If you need to automate your work there are Working Copy actions in the Shortcuts app for most operations. Even if you never edit a line of code on iOS, Working Copy is a great companion for reviewing and discussing code. Repositories are cross indexed and with powerful fuzzy search you can quickly jump from a symbol to the declaration or reverse from the declaration to all usages. A graph of your commits lets you zoom out for a overview of the commit tree or zoom in for specifics about each commit, with speed and beauty you won’t find in desktop Git applications. Review the changes your files have gone through with a diff viewer that is great for text and images. There is even hex-dump mode for that obscure occasion. Working Copy is a free download but you need to unlock pro features such as the ability to push commits and manage more than 5 repositories. There is no venture capital, large company or ads funding development and your support through in-app purchase directly sustains development. Try out pro features with a 10 day free trial. When you pay to unlock you get permanent access to all pro features at the time of purchase as well as any added the next year. When 12 months have passed you keep all existing pro features but any new ones introduced are locked until you renew your unlock.

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/