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fix yolo classify model loading error #9196

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merged 1 commit into from Mar 22, 2024

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DseidLi
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@DseidLi DseidLi commented Mar 21, 2024

During the process of multi-GPU training, I encountered an issue related to the model loading mechanism in the ultralytics project. Specifically, when attempting to load a classification model, if the model file is not found, the code creates a FileNotFoundError exception object but does not throw it. This leads to a subtle error: the program continues execution without immediately notifying the user of the error when the specified model file does not exist. This behavior could result in users wasting significant time troubleshooting, especially in complex multi-GPU training scenarios.

To address this issue, I have submitted a fix. The modification involves the ultralytics/models/yolo/classify/train.py file, where I ensured that when the model file cannot be found, a FileNotFoundError is thrown using the raise keyword to promptly notify the user. This change makes error handling more transparent and helps users quickly identify and resolve configuration issues during the training process.

🛠️ PR Summary

Made with ❤️ by Ultralytics Actions

🌟 Summary

Enhanced error handling when a model isn't found in YOLO classification training.

📊 Key Changes

  • Improved the error message to actively raise a FileNotFoundError when a specified model is not found either locally or online.

🎯 Purpose & Impact

  • Purpose: To make error messages more informative and actionable for users trying to train classification models with YOLO. Previously, if the model wasn't found, the script did not raise an explicit exception, which could lead to confusion about what went wrong.
  • Impact: Users will now receive a clear error message indicating that the model can't be located, guiding them to check the model name they've provided. This change improves user experience by helping diagnose issues faster and more accurately. 🔍💡

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👋 Hello @DseidLi, thank you for submitting an Ultralytics YOLOv8 🚀 PR! To allow your work to be integrated as seamlessly as possible, we advise you to:

  • ✅ Verify your PR is up-to-date with ultralytics/ultralytics main branch. If your PR is behind you can update your code by clicking the 'Update branch' button or by running git pull and git merge main locally.
  • ✅ Verify all YOLOv8 Continuous Integration (CI) checks are passing.
  • ✅ Update YOLOv8 Docs for any new or updated features.
  • ✅ Reduce changes to the absolute minimum required for your bug fix or feature addition. "It is not daily increase but daily decrease, hack away the unessential. The closer to the source, the less wastage there is." — Bruce Lee

See our Contributing Guide for details and let us know if you have any questions!

@DseidLi
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DseidLi commented Mar 21, 2024

I have read the CLA Document and I sign the CLA

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DseidLi commented Mar 21, 2024

recheck

@glenn-jocher
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@DseidLi absolutely, let's have another look at that for you! 🧐 If further action is needed, feel free to drop some details or examples for deeper investigation.

@Burhan-Q Burhan-Q added the enhancement New feature or request label Mar 22, 2024
@Burhan-Q Burhan-Q self-requested a review March 22, 2024 01:36
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@DseidLi good fix, thank you for catching this error! Merging PR :)

@glenn-jocher glenn-jocher merged commit 292e028 into ultralytics:main Mar 22, 2024
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@DseidLi DseidLi deleted the fix_error branch March 22, 2024 17:30
DannyCooler added a commit to ecs-enerserv/ultralytics that referenced this pull request Mar 28, 2024
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* Batch inference fixes (ultralytics#8854)

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* Faster batch `same_shapes` (ultralytics#8851)

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* New test for labels and crops (ultralytics#8861)

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* Optimize TFJS export on ARM64 (ultralytics#8946)

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* `ultralytics 8.1.28` avoid * ops on bool Tensors for RT-DETR OpenVINO export (ultralytics#8937)

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* Add OpenVINO Latency vs Throughput modes Docs page (ultralytics#9001)

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* Fix Neural Magic links (ultralytics#9144)

* Updating a typo on paddlepaddle.md (ultralytics#9108)

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* `ultralytics 8.1.30` add advanced HUB train arguments (ultralytics#9110)

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* Fix TypeError in check_cfg() (ultralytics#9245)

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* Add https://youtu.be/aeAX6vWpfR0 to docs & `african-wildlife` dataset docs page (ultralytics#9102)

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* Add TF SavedModel Docs Integrations Page (ultralytics#9162)

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* Limit `ray<2.9.3` due to bug in `ray==2.10.0` (ultralytics#9254)

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* `ultralytics 8.1.32` fix CLIP backwards compatibility (ultralytics#9253)

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* Conda cv2 ImportError libEGL.so.1 fix (ultralytics#9255)

* Fix `IS_PYTHON_3_12` bug (ultralytics#9258)

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* Reverse IoU threshold for NMS docs descriptions (ultralytics#9151)

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* Add `bgr` hyperparameter (ultralytics#9139)

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* Update pyproject.toml `[tool.pytest.ini_options]` (ultralytics#9259)

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* Fix OpenVINO missing batch-size bug (ultralytics#9264)

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* Update Discord and Contributing Guide URLs (ultralytics#9270)

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* Add https://youtu.be/uDrn9QZJ2lk and `object_counting.py`, `ai_gym.py` updates (ultralytics#9265)

* `ultralytics 8.1.34` Inference API robust imgsz checks (ultralytics#9274)

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* Bump contributor-assistant/github-action from 2.3.1 to 2.3.2 in /.github/workflows (ultralytics#9279)

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* Add https://youtu.be/u3pLlgzUeV8 to docs (ultralytics#9367)

* Fix typo in YOLOv8-Libtorch-CPP-Inference (ultralytics#9330)

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* Simplify metrics calculation (ultralytics#9338)

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* Fix typo in example readme (ultralytics#9306)

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* Specify YOLODataset task arg during INT8 calibration (ultralytics#9309)

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* `ultralytics 8.1.35` simplify network modules (ultralytics#9321)

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---------

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hmurari pushed a commit to hmurari/ultralytics that referenced this pull request Apr 17, 2024
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