dart_tensor_preprocessing 0.1.2

High-performance tensor preprocessing library for Flutter/Dart. NumPy-like transforms pipeline for ONNX Runtime inference.

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

0.1.2 - 2025-12-27

Added

• .gitignore file for Git
• .pubignore file for pub.dev publishing

0.1.1 - 2025-12-27

Added

• Comprehensive dartdoc comments for all public API elements
• Library-level documentation with usage examples

0.1.0 - 2025-12-27

Added

• Core tensor operations

  • TensorBuffer with shape, strides, and view/storage separation
  • TensorStorage for immutable typed data wrapper
  • DType enum with ONNX-compatible data types

• Transform operations

  • ResizeOp with nearest, bilinear, bicubic interpolation
  • ResizeShortestOp for aspect-ratio preserving resize
  • CenterCropOp for center cropping
  • NormalizeOp with ImageNet, CIFAR-10, symmetric presets
  • ScaleOp for value scaling
  • PermuteOp for axis reordering
  • ToTensorOp for HWC uint8 to CHW float32 conversion
  • ToImageOp for CHW float32 to HWC uint8 conversion
  • UnsqueezeOp, SqueezeOp, ReshapeOp, FlattenOp for shape manipulation
  • TypeCastOp for dtype conversion

• Pipeline system

  • TensorPipeline for chaining operations
  • PipelinePresets with ImageNet, ResNet, YOLO, CLIP, ViT, MobileNet presets
  • Async execution via Isolate.run

• Zero-copy operations

  • transpose() via stride manipulation
  • squeeze(), unsqueeze() as shape-only changes