Term | Description |
---|---|
Android Studio | The official integrated development environment (IDE) for Android app development. |
CocoaPods | A dependency manager used here for iOS app development; for Swift and Objective-C Cocoa projects to provide a standard format for managing external libraries. |
Core ML | A machine learning framework used in Apple products. TensorFlow lite models can be converted to CoreML format for use on Apple devices. |
Container ("export to Docker/container") | The runtime instance of an image; one of the export options for your model using AutoML Vision Edge. |
Edge devices | A device that provides compute capability outside the cloud. The demand for privacy/confidentiality, low latency and bandwidth constraints drive demand for predictions with our models on these devices. Compute and power constraints lead to models specialized for them. |
Edge TPU | A type of Edge device; Google's purpose-built application-specific integrated
circuit (ASIC) designed to run inference at the edge.
Supports .tflite models only. |
Firebase | A mobile and web application development platform. |
FlatBuffers | Similar to Protocol buffers, with the primary difference being that FlatBuffers do not need a parsing/ unpacking step to a secondary representation before you can access data, often coupled with per-object memory allocation. |
IoT | Internet of Things (IoT); the use of network-connected devices, embedded in the physical environment, to improve some existing process or to enable a new scenario not previously possible. |
ML Kit | ML Kit acts as an API layer to your custom model; a mobile software development kit (SDK) that allows you to use a custom model on-device. |
Pillow | The Python Imaging Library (PIL) adds image processing capabilities to your Python interpreter; Pillow is a modified version of the base PIL. |
Protocol buffers ("protobuf") | Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data. Similar to FlatBuffers. |
TensorFlow | TensorFlow is an end-to-end open source platform for machine learning; software used to create a machine learning model. |
TensorFlow lite model (TF Lite/model.tflite ) |
A TensorFlow ML model that has been compressed for use on mobile and embedded
devices.
|
tf.session() |
A class for running TensorFlow operations using a TensorFlow model. |
Xcode | Xcode is an integrated development environment (IDE) for macOS containing a suite of software development tools developed by Apple for developing software for macOS, iOS, watchOS, and tvOS. |
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Last updated 2023-05-26 UTC.
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