Open JulieBender opened 1 month ago
I have already tried steps 1,3,4,5
Maybe I don't put the files in the right places, can you guide me on where to place the bin file, and specify it? In the example, I can't find your bin file or the path to it in the scripts. I also looked trough the documentation and can't really find any guides to the placement of these.
I have this LocalModel, and if I switch my custom cls model out with yours it works fine. my mlmodel is placed in the assets folder. Is it necessary to specify the bin file aswell?
Future<ImageClassifier> _initObjectClassifierWithLocalModel() async { final modelPath = await _copy('assets/model.mlmodel'); final model = LocalYoloModel( id: '', task: Task.classify, format: Format.coreml, modelPath: modelPath, );
When exporting a custom yolov8 cls model, the classification doesn't run in the app, it just opens the camera as have no detections. also says 0.0ms - 0.0FPS. I have tested the model in python code, and here it works just fine.
I have used this for exporting in a python script: model.export(format="mlmodel", imgsz=[320, 192], nms=True)
I get this error inside med x-code:
Thread 5: Fatal error: 'try!' expression unexpectedly raised an error: Error Domain=com.apple.mlassetio Code=1 "Failed to parse the model specification. Error: Unable to parse ML Program: at unknown location: Could not open /var/mobile/Containers/Data/Application/0157029F-2294-42DF-9422-4E1E0C40F43A/Library/Application Support/assets/weights/weight.bin" UserInfo={NSLocalizedDescription=Failed to parse the model specification. Error: Unable to parse ML Program: at unknown location: Could not open /var/mobile/Containe
You didn't provide any specific code snippets for exporting the cls models to ios in the readme section (as you did with all the other options). I assume that this error is because of a wrong model, as the app works fine with your model from the example.
I also tried to convert your yolov8m-cls, but that didn't work either.