objectDetector.detect. resulte = 0 but camera live detect it work

[sathit-poo]

 final modelPath = await _copy('assets/yolov8n.mlmodel');

final model = LocalYoloModel(
    id: '',
    task: Task.detect,
    format: Format.coreml,
    modelPath: modelPath);

final objectDetector = ObjectDetector(model: model);
await objectDetector.loadModel();
var testimage = "assets/BA5A1603-371.jpg";

var rs = await objectDetector.detect(imagePath: testimage); //  result = []

[UltralyticsAssistant]

👋 Hello @sathit-poo, thank you for submitting a ultralytics/yolo-flutter-app 🚀 Issue. To help us address your concern efficiently, please ensure you've provided the following information:

1. For bug reports:

   • A clear and concise description of the bug (e.g., why the detection result is empty when using objectDetector.detect with the provided image)
   • A minimum reproducible example (MRE) that demonstrates the issue. It seems like you've included some details, but please confirm if these steps are enough for us to replicate the issue on our end 🛠️
   • Your environment details (Flutter version, Dart version, device or emulator details, OS, dependencies used, etc.)
   • Expected behavior (e.g., objects detected and their confidence scores) vs. the actual behavior (an empty result)
   • Any error messages or logs you’re encountering related to the issue

2. For feature requests:

   • A clear and concise description of the proposed feature
   • The problem this feature would solve
   • Any alternative solutions you've considered

3. For questions:

   • Provide as much context as possible about your question
   • Include any research you've already done on the topic
   • Specify which parts of the documentation, if any, you've already consulted

Please ensure you've searched existing issues to avoid duplicates 🔍. If you need to update or add information, feel free to comment on this issue. An Ultralytics engineer will review this and assist you soon 😊

Thank you for contributing to the improvement of yolo-flutter-app! 🚀

[pderrenger]

Thanks for sharing the issue. Let's verify a few things:
1️⃣ Ensure your static image is accessible and in a compatible format (JPEG/PNG).
2️⃣ Check if the Core ML model expects specific input image sizes (e.g., 640x640) that differ from live camera preprocessing.
3️⃣ Update to the latest ultralytics version with pip install -U ultralytics.

If issues persist, please share:

• Your Ultralytics version (pip show ultralytics)
• A Minimum Reproducible Example with test image
• Core ML export code used (YOLO(...).export(format='coreml'))

We'll help resolve this quickly! 🚀