diff --git a/README.md b/README.md index 167629e..e8c9389 100644 --- a/README.md +++ b/README.md @@ -34,6 +34,12 @@ flutter run |:-----------|------------:|:------------:|:------------:|:------------:| | [sam2](/lib/image_segmentation/segment-anything-2) | [Segment Anything 2](https://github.com/facebookresearch/sam2) | Pytorch | 1.2.16 and later | | +### Background Removal + +| | Model | Exported From | Supported Ailia Version | Blog | +|:-----------|------------:|:------------:|:------------:|:------------:| +| [u2net](/lib/background_removal/u2net) | [U-2-Net](https://github.com/NathanUA/U-2-Net) | Pytorch | 1.1 and later | | + ### Large Language model | | Model | Exported From | Supported Ailia Version | Blog | diff --git a/assets/input_u2net.png b/assets/input_u2net.png new file mode 100644 index 0000000..4e3dd81 Binary files /dev/null and b/assets/input_u2net.png differ diff --git a/lib/background_removal/u2net/LICENSE b/lib/background_removal/u2net/LICENSE new file mode 100644 index 0000000..f49a4e1 --- /dev/null +++ b/lib/background_removal/u2net/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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+import 'package:image/image.dart' as img; +import 'package:ailia_models_flutter/utils/image_util.dart'; +import 'dart:async'; + +const imageSize = 320; + +class U2Net { + final AiliaModel _model = AiliaModel(); + int _inputWidth = 0; + int _inputHeight = 0; + AiliaTensor? _inputTensor; + bool _available = false; + + void open(String modelFilePath, {int envId = 0, int memoryMode = 11}) { + _model.openFile(modelFilePath, envId: envId, memoryMode: memoryMode); + _available = true; + } + + void close() { + if (!_available) { + return; + } + + _model.close(); + _available = false; + } + + Future setImage( + img.Image image, + ) async { + _inputWidth = image.width; + _inputHeight = image.height; + final resizedImage = img.copyResize( + image, + width: imageSize, + height: imageSize, + interpolation: img.Interpolation.linear, + ); + _inputTensor = await imageToAiliaTensor(resizedImage); + + return true; + } + + img.Image? run() { + if (_inputWidth == 0 || _inputHeight == 0 || _inputTensor == null) { + return null; + } + + List outputs = _model.run([_inputTensor!]); + AiliaTensor mask = outputs[0]; + + final maskImage = ailiaTensorToImage(mask, reverse: true); + return img.copyResize( + maskImage, + width: _inputWidth, + height: _inputHeight, + interpolation: img.Interpolation.linear, + ); + } +} diff --git a/lib/main.dart b/lib/main.dart index 24b39c0..d40d36a 100644 --- a/lib/main.dart +++ b/lib/main.dart @@ -2,6 +2,8 @@ import 'dart:ui'; import 'package:ailia/ailia.dart'; import 'package:ailia/ailia_model.dart'; +import 'package:ailia_models_flutter/background_removal/u2net/u2net.dart'; +import 'package:ailia_models_flutter/utils/image_util.dart'; import 'package:flutter/material.dart'; // assets @@ -113,6 +115,9 @@ class _AiliaModelsFlutterState extends State { case "sam2": _ailiaImageSegmentationSam2(); break; + case "u2net": + _ailiaBackgroundRemovalU2Net(); + break; case "resnet18": _ailiaImageClassificationResNet18(); break; @@ -386,6 +391,62 @@ class _AiliaModelsFlutterState extends State { segmentImage.close(); } + void _ailiaBackgroundRemovalU2Net() async { + // Load image + image = await loadImageFromAssets("assets/input_u2net.png"); + if (image == null) { + return; + } + + setState(() { + isImageloaded = true; + }); + + // Download onnx + _displayDownloadBegin(); + + const remotePath = 'https://storage.googleapis.com/ailia-models/u2net/'; + const u2netModel = 'u2net.onnx'; + + final u2netModelFile = await downloadModel( + '$remotePath$u2netModel', u2netModel, null, _displayDownloadProgress); + + _displayDownloadEnd(); + + if (u2netModelFile == null) { + return; + } + + U2Net u2net = U2Net(); + u2net.open(u2netModelFile.path, envId: selectedEnvId); + + // Load image data + DateTime time = DateTime.now(); + final inputImage = await uiImageToImage(image!); + await u2net.setImage(inputImage); + print('setImage: ${DateTime.now().difference(time).inMilliseconds}ms'); + time = DateTime.now(); + + // Generate mask image + final maskImage = u2net.run(); + print('predict: ${DateTime.now().difference(time).inMilliseconds}ms'); + time = DateTime.now(); + + if (maskImage == null) { + u2net.close(); + return; + } + + final maskUiImage = await imageToUiImage(maskImage); + setState(() { + //predict_result = 'Saved to $filePath'; + predict_result = 'Generated masks.'; + image = maskUiImage; + }); + + u2net.close(); + } + void _ailiaImageClassificationResNet18(){ // Load image loadImageFromAssets("assets/clock.jpg").then( @@ -645,14 +706,18 @@ class _AiliaModelsFlutterState extends State { @override Widget build(BuildContext context) { - bool isImage = isSelectedItem == 'sam2' || isSelectedItem == 'resnet18' || isSelectedItem == 'yolox'; - if (envList.length == 0){ + bool isImage = isSelectedItem == 'sam2' || + isSelectedItem == 'u2net' || + isSelectedItem == 'resnet18' || + isSelectedItem == 'yolox'; + if (envList.isEmpty) { envList = AiliaModel.getEnvironmentList(); } List modelList = []; modelList.add('resnet18'); modelList.add('sam2'); + modelList.add('u2net'); modelList.add('whisper_tiny'); modelList.add('whisper_small'); modelList.add('whisper_medium'); diff --git a/lib/utils/image_util.dart b/lib/utils/image_util.dart new file mode 100644 index 0000000..77d2949 --- /dev/null +++ b/lib/utils/image_util.dart @@ -0,0 +1,101 @@ +import 'dart:async'; +import 'dart:typed_data'; +import 'dart:ui' as ui; + +import 'package:ailia/ailia_model.dart'; +import 'package:image/image.dart' as img; + +Future imageToAiliaTensor(img.Image image, + {int shapeZ = 3}) async { + int numChannels = image.numChannels; + if (shapeZ <= 0 || shapeZ > numChannels) { + return null; + } + + AiliaTensor inputTensor = _createAiliaTensor( + Float32List(image.width * image.height * shapeZ), + image.width, + image.height, + shapeZ, + ); + + List pixel = image.buffer.asUint8List().toList(); + + List mean = [0.485, 0.456, 0.406]; + List std = [0.229, 0.224, 0.225]; + + for (int y = 0; y < image.height; y++) { + for (int x = 0; x < image.width; x++) { + for (int c = 0; c < shapeZ; c++) { + inputTensor.data[y * image.width + x + c * image.width * image.height] = + (pixel[(image.width * y + x) * numChannels + c] / 255.0 - mean[c]) / + std[c]; + } + } + } + + return inputTensor; +} + +img.Image ailiaTensorToImage(AiliaTensor input, {bool reverse = false}) { + final width = input.shape.x; + final height = input.shape.y; + final numChannels = input.shape.z; + final data = input.data; + + final pixels = Uint8List(width * height * 4); + + for (int y = 0; y < height; y++) { + for (int x = 0; x < width; x++) { + final index = (y * width + x); + pixels[index * 4 + 3] = (data[index * numChannels] * 255).toInt(); + if (reverse) { + pixels[index * 4 + 3] = 255 - pixels[index * 4 + 3]; + } + } + } + + return img.Image.fromBytes( + width: width, + height: height, + numChannels: 4, + bytes: pixels.buffer, + ); +} + +Future uiImageToImage(ui.Image image) async { + final inputData = await image.toByteData(format: ui.ImageByteFormat.rawRgba); + + return img.Image.fromBytes( + width: image.width, + height: image.height, + numChannels: 4, + bytes: inputData!.buffer, + ); +} + +Future imageToUiImage(img.Image image) async { + final bytes = img.encodePng(image); + return _uint8ListToImage(bytes); +} + +Future _uint8ListToImage(Uint8List bytes) async { + final completer = Completer(); + ui.decodeImageFromList(bytes, completer.complete); + return completer.future; +} + +AiliaTensor _createAiliaTensor(Float32List data, int x, int y, int z, + {int w = 1, int dim = 4}) { + final shape = AiliaShape(); + shape.x = x; + shape.y = y; + shape.z = z; + shape.w = w; + shape.dim = dim; + + AiliaTensor tensor = AiliaTensor(); + tensor.shape = shape; + tensor.data = data; + return tensor; +} diff --git a/pubspec.yaml b/pubspec.yaml index 3dc9afe..22e4863 100644 --- a/pubspec.yaml +++ b/pubspec.yaml @@ -98,5 +98,6 @@ flutter: assets: - assets/truck.jpg - assets/clock.jpg + - assets/input_u2net.png - assets/demo.wav - assets/reference_audio_girl.wav