Termius vs Neural Object Detector

Termius is a modern SSH client designed for productivity and collaboration. Connect with one tap from desktop and mobile. No re-entering IP addresses, ports, and passwords. With a free Termius Starter plan, you can: · Connect from your mobile and desktop devices with SSH, SFTP, Mosh, Telnet, Port Forwarding, Serial and through Proxy and jump servers. · Get a desktop-grade terminal experience with a virtual keyboard covering all the special keys required, or connect your Bluetooth keyboard. · Use gestures or shake the device while in the terminal to emulate stroking of Tab, arrows, PgUp/Down, Home, and End, etc. · Work in several sessions simultaneously with a multi-tab interface and split-view support. · Customize your terminal themes and fonts for each connection. · Set custom environment variables. · Save your frequently used commands and shell scripts to execute them with one tap. · Execute your saved commands on multiple sessions or servers at once, or instantly get them autocompleted in the terminal. · Get smart autocomplete for commands, paths, and history, and turn plain-language descriptions into shell commands with AI. · Quickly access the global history of your terminal commands. · Authenticate using hardware FIDO2 keys. · Generate SSH keys in the Secure Enclave, confirm each connection with Face ID or Touch ID, and protect your account with two-factor authentication. · Ad-free. With the Termius Pro plan, you can also: · Access your connection settings and credentials from any device at any time with an encrypted cloud vault. · Sync your data across all your desktop and mobile devices. · Bookmark session logs with notes to your vault. · Integrate with AWS, DigitalOcean, and Azure. Termius reinvents the command-line experience. We strive to make remote access for admins and engineers more productive and enjoyable. Please review our privacy policy https://termius.com/privacy_policy.html and terms of use https://termius.com/terms_of_use.html

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/