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exporting yolov5m.mlmodel #6508

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vittorioz opened this issue Feb 2, 2022 · 5 comments
Closed
1 of 2 tasks

exporting yolov5m.mlmodel #6508

vittorioz opened this issue Feb 2, 2022 · 5 comments
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bug Something isn't working Stale

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@vittorioz
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Search before asking

  • I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

Export

Bug

I'am trying to export a yolov5m to .mlmodel format but when I try it with val.py it gives me no result. Also I tried it in my object detection script and it gives me "no detections"

Environment

Python 3.8 on apple silicon, conda environment with pytorch=1.9.1 coremltools=5.1.0

Minimal Reproducible Example

python3 export.py --weights yolov5m.pt --include coreml

python val.py --weights yolov5m.mlmodel

Additional

the above lines of codes works perfectly with yolov5s. I tried also to export the yolov5m in onnx format and it works.

Are you willing to submit a PR?

  • Yes I'd like to help by submitting a PR!
@vittorioz vittorioz added the bug Something isn't working label Feb 2, 2022
@github-actions
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github-actions bot commented Feb 2, 2022

👋 Hello @vittorioz, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

For business inquiries or professional support requests please visit https://ultralytics.com or email support@ultralytics.com.

Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

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YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

Status

CI CPU testing

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

@glenn-jocher
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@vittorioz good news 😃! Your original issue may now be fixed ✅ in PR #6496. To receive this update:

  • Gitgit pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
  • PyTorch Hub – Force-reload model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
  • Notebooks – View updated notebooks Open In Colab Open In Kaggle
  • Dockersudo docker pull ultralytics/yolov5:latest to update your image Docker Pulls

Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!

@vittorioz
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Nice it works perfectly! Thank you

@jordibruin
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jordibruin commented Feb 4, 2022

@vittorioz would you mind sharing the model you generated with me? I'm unfamiliar with how to convert models to CoreML and would love to try this out. Can you send me a message at jordi@goodsnooze.com or twitter.com/jordibruin? Thanks!

Nevermind, found the page with all the models already 🙂

@github-actions
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github-actions bot commented Mar 7, 2022

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

Access additional YOLOv5 🚀 resources:

Access additional Ultralytics ⚡ resources:

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐!

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