v0.2.0

Breaking changes

• tfImageClassifier has been replaced by tfGenericModel
• Module name property has been replaced by title
• Modules' mount method now accepts an HTML Element rather than a selector
• imageDrop has been renamed to imageUpload
• browser has been renamed to datasetBrowser
• progress has been renamed to trainingProgress
• confusion has been renamed to confusionMatrix
• Dashboards now have a closable option, which is disabled by default.
• Dataset's $created stream has been replaced by a more generic $changes stream

New Features

• Mobilenet and COCO-SSD are now cached in the browser's storage for improved network performance
• Model Storage: models can be saved and loaded from datastores. They can be automatically synchronized with a datastore. File import/export is also possible
• Dataset upload has been added
• Dashboard now expose $active and $page streams to monitor its state
• Dashboard settings have been improved (TODO: give details + breaking changes)
• trainingPlot: The logs to display can be be configured in the module's options. It is possible to pass either a scalar (incremental mode) an array for each log.
• imageUpload now supports target image dimensions and automatically crops and resizes images
• datasetBrowser now allows the selection, deletion or class change of instances

New Modules

• tfGenericModel
• fileUpload
• imageUpload
• onnxImageClassifier

Deprecated Modules

• tfImageClassifier
• imageDrop

Performance Improvements

• Datasets have been updated for improved performance
• Memory management related to TFJS has been improved

Bug Fixes

• webcam now supports multiple video devices
• Quite a few others...

Internal Changes

• Build system update
• Examples now use vite
• Svelte components now use Typescript
• Module's description was unused and has been removed
• Data stores have a $services stream and have been simplified
• The architecture for models has been improved