jaeheee / flutterwithmediapipe Goto Github PK
View Code? Open in Web Editor NEWFlutter with MediaPipe ML models
Flutter with MediaPipe ML models
I can create a new Flutter project and successfully run it,
But I encountered an error while running this Flutter project, as shown below;
I need help
——————————————————————————————
Launching lib\main.dart on NTN AN20 in debug mode...
[!] Your app isn't using AndroidX.
To avoid potential build failures, you can quickly migrate your app by following the steps on https://goo.gl/CP92wY .
Running Gradle task 'assembleDebug'...
FAILURE: Build failed with an exception.
What went wrong:
Task 'assembleDebug' not found in root project 'android'.
Try:
Run gradlew tasks to get a list of available tasks. Run with --stacktrace option to get the stack trace. Run with --info or --debug option to get more log output. Run with --scan to get full insights.
Get more help at https://help.gradle.org
BUILD FAILED in 23s
ProcessException: Process exited abnormally with exit code 1:
Welcome to Gradle 7.2!
Here are the highlights of this release:
For more details see https://docs.gradle.org/7.2/release-notes.html
Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.2/userguide/command_line_interface.html#sec:command_line_warnings
FAILURE: Build failed with an exception.
What went wrong:
Project 'app' not found in root project 'android'.
Try:
Run with --stacktrace option to get the stack trace. Run with --info or --debug option to get more log output. Run with --scan to get full insights.
Get more help at https://help.gradle.org
BUILD FAILED in 1s
Command: D:\zlxDownload\FlutterWithMediaPipe-main\android\gradlew.bat app:tasks --all --console=auto
How to use holistic solution?
codes below:
if (Platform.isAndroid) {
image = imageLib.copyRotate(image, angle: -90);
image = imageLib.flipHorizontal(image);
}
var tensorImage = TensorImage(TensorType.float32);
tensorImage.loadImage(image);
tensorImage = imageProcessor.process(tensorImage);
I am running this application on a google pixel 4a.
I am getting these issues for all 4 models of media pipe..
Encountering the following errors:
======== Exception caught by foundation library ====================================================
The following _CastError was thrown while dispatching notifications for CameraController:
Null check operator used on a null value
when i open the app i cant see screen painter on any model .
Hi,
On macos developing environment with an Android device, I did:
sh install.sh
flutter pub get
flutter run
But received error like this:
FAILURE: Build failed with an exception.
* Where:
Build file '/Users/*path*/FlutterWithMediaPipe/android/app/build.gradle' line: 57
* What went wrong:
A problem occurred evaluating project ':app'.
> /Users/*path*/FlutterWithMediaPipe/android/keystore/keystore.password (No such file or directory)
Hello, I downloaded your project and wanted to give it a try, but I got an error because of the sign in function in the build.gradle file. Unfortunately, there is no such keystore file on my computer, so I cannot run the application.
`FAILURE: Build failed with an exception.
Where:
Build file 'D:\Projects\tensorFlow-Flutter-main\tensorFlow-Flutter-main\android\app\build.gradle' line: 57
What went wrong:
A problem occurred evaluating project ':app'.
D:\Projects\tensorFlow-Flutter-main\tensorFlow-Flutter-main\android\keystore\keystore.password (Sistem belirtilen yolu bulam�yor)
Try:
Run with --stacktrace option to get the stack trace. Run with --info or --debug option to get more log output. Run with --scan to get full insights.
Get more help at https://help.gradle.org/
I am unable to build the project for iOS. Here are the steps to reproduce the error:
sh install.sh
flutter pub add get
pod install
flutter run
This produces the following error:
Ld /Users/vijeshrao/Library/Developer/Xcode/DerivedData/Runner-hggazerwaeetoqeyyebckgveptau/Build/Intermediates.noindex/Pods.build/Release-iphoneos/tflite_flutter.build/Objects-normal/armv7/Binary/tflite_flutter normal armv7 (in target 'tflite_flutter' from project 'Pods')
cd /Users/vijeshrao/Downloads/FlutterWithMediaPipe-main\ 2/ios/Pods
/Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/clang -target armv7-apple-ios9.0 -dynamiclib -isysroot /Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platform/Developer/SDKs/iPhoneOS15.0.sdk -L/Users/vijeshrao/Library/Developer/Xcode/DerivedData/Runner-hggazerwaeetoqeyyebckgveptau/Build/Products/Release-iphoneos/tflite_flutter -L/Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/lib/swift/iphoneos -L/Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platform/Developer/SDKs/iPhoneOS15.0.sdk/usr/lib/swift -F/Users/vijeshrao/Library/Developer/Xcode/DerivedData/Runner-hggazerwaeetoqeyyebckgveptau/Build/Products/Release-iphoneos/tflite_flutter -F/Users/vijeshrao/Documents/flutter/bin/cache/artifacts/engine/ios-release/Flutter.xcframework/ios-arm64_armv7 -filelist /Users/vijeshrao/Library/Developer/Xcode/DerivedData/Runner-hggazerwaeetoqeyyebckgveptau/Build/Intermediates.noindex/Pods.build/Release-iphoneos/tflite_flutter.build/Objects-normal/armv7/tflite_flutter.LinkFileList -install_name @rpath/tflite_flutter.framework/tflite_flutter -Xlinker -rpath -Xlinker /usr/lib/swift -Xlinker -rpath -Xlinker @executable_path/Frameworks -Xlinker -rpath -Xlinker @loader_path/Frameworks -dead_strip -Xlinker -object_path_lto -Xlinker /Users/vijeshrao/Library/Developer/Xcode/DerivedData/Runner-hggazerwaeetoqeyyebckgveptau/Build/Intermediates.noindex/Pods.build/Release-iphoneos/tflite_flutter.build/Objects-normal/armv7/tflite_flutter_lto.o -fembed-bitcode-marker -fobjc-arc -fobjc-link-runtime -L/Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/lib/swift/iphoneos -L/usr/lib/swift -Xlinker -add_ast_path -Xlinker /Users/vijeshrao/Library/Developer/Xcode/DerivedData/Runner-hggazerwaeetoqeyyebckgveptau/Build/Intermediates.noindex/Pods.build/Release-iphoneos/tflite_flutter.build/Objects-normal/armv7/tflite_flutter.swiftmodule -all_load -lc++ -framework TensorFlowLiteC -framework Flutter -framework Foundation -compatibility_version 1 -current_version 1 -Xlinker -dependency_info -Xlinker /Users/vijeshrao/Library/Developer/Xcode/DerivedData/Runner-hggazerwaeetoqeyyebckgveptau/Build/Intermediates.noindex/Pods.build/Release-iphoneos/tflite_flutter.build/Objects-normal/armv7/tflite_flutter_dependency_info.dat -o /Users/vijeshrao/Library/Developer/Xcode/DerivedData/Runner-hggazerwaeetoqeyyebckgveptau/Build/Intermediates.noindex/Pods.build/Release-iphoneos/tflite_flutter.build/Objects-normal/armv7/Binary/tflite_flutter
ld: framework not found TensorFlowLiteC
clang: error: linker command failed with exit code 1 (use -v to see invocation)
How can I solve this issue? Please let me know.
Thank you in advance..!
Thank you for this repository!
Face Detector works fine when there is one face present, but when there are 2 or more Non maximum supression algorithm gets stuck in infinite while loop. It doesn't filter out non-intersecting boxes properly.
I have slightly modified your code in non_maximum_supression.dart to
var picks = <int>[];
while (I.isNotEmpty) {
var ind0 = positions.sublist(positions.length - 1, positions.length);
var ind1 = positions.sublist(0, positions.length - 1);
var xx1 = _maximum(_itemIndex(_x1, ind0)[0], _itemIndex(_x1, ind1));
var yy1 = _maximum(_itemIndex(_y1, ind0)[0], _itemIndex(_y1, ind1));
var xx2 = _minimum(_itemIndex(_x2, ind0)[0], _itemIndex(_x2, ind1));
var yy2 = _minimum(_itemIndex(_y2, ind0)[0], _itemIndex(_y2, ind1));
var w = _maximum(0.0, xx2 - xx1);
var h = _maximum(0.0, yy2 - yy1);
var inter = w * h;
var o = inter /
(_sum(_itemIndex(area, ind0)[0], _itemIndex(area, ind1)) - inter);
picks.add(ind0[0]);
List<double> newI = [];
List<int> newPositions = [];
o.asMap().forEach((key, value) {
if (value <= threshold) {
newI.add(I[key]);
newPositions.add(positions[key]);
}
});
I = newI;
positions = newPositions;
}
List<Detection> results = [];
for (var pick in picks) {
results.add(detections[pick]);
}
return results;
and also in face_detection_service.dart
for (var detection in detections) {
Rect? bbox;
final score = detection.score;
if (score > threshold) {
bbox = Rect.fromLTRB(
inputImage.width * detection.xMin,
inputImage.height * detection.yMin,
inputImage.width * detection.width,
inputImage.height * detection.height,
);
bbox = _imageProcessor.inverseTransformRect(
bbox, image.height, image.width);
}
rectFaces.add({'bbox': bbox, 'score': score});
}
rectFaces.sort((a, b) => b['score'].compareTo(a['score']));
return rectFaces;
It detects and returns multiple boxes for each face present. I hope it helps, thanks again for this project.
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