CoreML failing to load

[CodeCutterUK]

CoreML failing to load

[CodeCutterUK]

That's the same command I used. Obviously have to get access to the model inside the mlpackage, so that could be the issue.

It does feel like there is a permission issue. I'd be happy to set up a time to Zoom and show you the issue if that would work for you.

[Optics]

We exported the coreml model using the latest YOLOv8. pip install ultralytics yolo segment export model=yolov8n-seg.pt format=coreml

In our environment we could load the coreml model without an error. Could you give us a hint to reproduce the problem in our environment?

I do have the same problem but with a custom trained model based on yolov8 I've trained on Google Colab and export it. First I also tried to convert the ".pt" into the ".mlmodel" with no custom training that loads without any problem.

When I load the custom trained one the program directly crashes when I clicked on "auto labeling" after loading the custom trained model "best.mlmodel".

Do you have any clue what I could try and what information you need to help me?

[Optics]

Ah okay. I trained the model on detection instead of segmentation. Could that be a problem?

I will try it later this week with training it on segmentation.

[CodeCutterUK]

Interesting, yes I am using detection and classification.

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________________________________ From: Optics ***@***.***> Sent: 13 September 2023 09:00 To: ryouchinsa/Rectlabel-support ***@***.***> Cc: Mark Ison ***@***.***>; Author ***@***.***> Subject: Re: [ryouchinsa/Rectlabel-support] CoreML failing to load (Issue #234) Ah okay. I trained the model on detection instead of segmentation. Could that be a problem? I will try it later this week with training it on segmentation. — Reply to this email directly, view it on GitHub<#234 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AB4HRDZZOY73TDVZXAPG5A3X2FR25ANCNFSM6AAAAAA32ENEXM>. You are receiving this because you authored the thread.Message ID: ***@***.***>

[ryouchinsa]

Thanks for writing the issue.

When you launch RectLabel, RectLabel tries to read the settings file.
~/Library/Containers/com.waysify.roi/Data/settings_labels.json

Based on the error dialog, it might be that RectLabel does not have enough permission to read/write on your computer.

Coud you check the permission of RectLabel app?

[CodeCutterUK]

Thanks for looking at this

The directory is 700 and the file is 644. Setting both to 777 makes no difference. All files/dirs owned by my user.

[ryouchinsa]

We exported the coreml model using the latest YOLOv8.
pip install ultralytics
yolo segment export model=yolov8n-seg.pt format=coreml

In our environment we could load the coreml model without an error.
Could you give us a hint to reproduce the problem in our environment?

[ryouchinsa]

Thanks for writing the issue.
Could you share the detailed situation to reproduce the problem?

In our environment, the ultralytics version is 8.0.176.
pip install -U ultralytics

Using our fish-dataset, we trained the YOLOv8 segmentation model.

yolo segment train data=fish.yaml model=yolov8n-seg.pt epochs=100 imgsz=640

And, export the best.pt to the best.mlpackage file.

yolo export model=best.pt format=coreml

Using the latest RectLabel version 2023.09.12, we can load the best.mlpackage file and process the image to obtain the detected polygons.

[Optics]

I am using an M1 MacBook Air. Is Apple Silicon a problem?

[ryouchinsa]

We checked on the Apple M1 MacBook Pro device.

Using our fish-dataset-detection, we trained the YOLOv8 detection model.

yolo detect train data=fish-detection.yaml model=yolov8n.pt epochs=100 imgsz=640

And, export the best.pt to the best.mlpackage file.

yolo export model=best.pt format=coreml

Using the latest RectLabel version 2023.09.12, we can load the best.mlpackage file and process the image to obtain the detected bounding boxes.

[ryouchinsa]

For the permission issue, could you try deleting cache files?
https://rectlabel.com/help#troubleshooting

• The cache files path is one of the paths below.
  ~/Library/Containers/RectLabel
  ~/Library/Containers/com.waysify.roi
  ~/Library/Containers/com.waysify.roi.vpp
• Backup the settings file "the_cache_files_path/Data/settings_labels.json".
• Delete the cache files.
• Clean up the trash box and launch RectLabel.

For the crash issue, could you copy and paste the crash message to this page or send an email to [email protected]?

[ryouchinsa]

The new version 2023.09.27 was released.
Fixed the crash when you run YOLOv8 models trained using except imgsz=640.

Please let us know your opinion.

[ryouchinsa]

Currently If you need our support to fix this problem, please let us know.