dart_tensor_preprocessing library

A high-performance tensor preprocessing library for Flutter/Dart.

This library provides NumPy-like tensor transforms optimized for ONNX Runtime inference. Key features include:

• Non-blocking isolate-based execution via TensorPipeline.runAsync
• Type-safe ONNX tensor types through the DType enum
• Zero-copy view/stride manipulation for TensorBuffer.reshape and TensorBuffer.transpose
• Declarative preprocessing pipelines with TensorPipeline

Getting Started

import 'package:dart_tensor_preprocessing/dart_tensor_preprocessing.dart';

// Create a preprocessing pipeline
final pipeline = TensorPipeline([
  ResizeOp(height: 224, width: 224),
  NormalizeOp.imagenet(),
  PermuteOp.hwcToChw(),
]);

// Run synchronously
final result = pipeline.run(inputTensor);

// Or run asynchronously in an isolate
final result = await pipeline.runAsync(inputTensor);

See PipelinePresets for pre-configured pipelines for common models.