Azure-Samples / Azure-Samples/cognitive-service-vision-model-customization-python-samples
Azure AI Custom Image Analysis model not returning performance metrics
- 主要言語
- Python
- スター
- 15
- フォーク
- 15
- PR マージ指標
- 30日以内にマージされた PR はありません
説明
> Please provide us with the following information:
> ---------------------------------------------------------------
### This issue is for a: (mark with an `x`)
```
- [x] bug report -> please search issues before submitting
- [ ] feature request
- [ ] documentation issue or request
- [ ] regression (a behavior that used to work and stopped in a new release)
```
### Minimal steps to reproduce
Trained and working Azure AI Custom Image Analysis model.
### Any log messages given by the failure
`Status: Error(code={'code': 'InternalServerError', 'message': 'Batch did not complete successfully. OutputResultWriteFailed: An unexpected error was encountered.'}, message='', target='', details=[])`
### Expected/desired behavior
The following code from this guideline - https://github.com/Azure-Samples/cognitive-service-vision-model-customization-python-samples/blob/main/docs/cognitive_service_vision_model_customization.ipynb - do not return any performance metrics.
```
from cognitive_service_vision_model_customization_python_samples import Evaluation
eval_dataset_name = '{specify_your_eval_dataset_name}'
evaluation_name = '{specify_your_eval_run_name}'
evaluation = Evaluation(evaluation_name, model_name, eval_dataset_name)
training_client.evaluate_model(evaluation)
evaluation = training_client.wait_for_evaluation_completion(model_name, evaluation_name)
```
### OS and Version?
> Windows 10
### Versions
>
### Mention any other details that might be useful
I've created a question in the Q&A section of Microsoft - https://learn.microsoft.com/en-us/answers/questions/1880298/azure-ai-custom-image-analysis-model-not-returning?page=1&orderby=helpful&comment=answer-1665959. However the community couldn't help.

> ---------------------------------------------------------------
> Thanks! We'll be in touch soon.
コントリビューションガイド
調査の方向性
docs/cognitive_service_vision_model_customization.ipynb と、レポートに示されている Evaluation/evaluate_model フローから始めます。トレーニング済みの Custom Image Analysis モデルで評価を再現し、その後 InternalServerError/OutputResultWriteFailed 応答を調査して、リンク先の Microsoft Q&A スレッドと比較します。メトリクスが存在しない理由を特定し、確認済みの解決策または制限事項を文書化できれば完了です。
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- azure, python
- 領域
- cloud, machine-learning
- issue の種類
- バグ
- 難易度
- 4/5
- 見積もり時間
- 3〜5日
- 活発さ
- 停滞
- 明瞭さ
- おおむね明確
- 初心者へのやさしさ
- 35/100