aws / aws/amazon-sagemaker-examples
object_detection_augmented_manifest_training.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- Avg merge
- 8h 29m
- Merged PRs (30d)
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/ground_truth_labeling_jobs/object_detection_augmented_manifest_training/object_detection_augmented_manifest_training.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [4]":
---------------------------------------------------------------------------
ClientError Traceback (most recent call last)
in
1 augmented_manifest_s3_key = s3_train_data_path.split(bucket_name)[1][1:]
2 s3_obj = s3.Object(bucket_name, augmented_manifest_s3_key)
----> 3 augmented_manifest = s3_obj.get()['Body'].read().decode('utf-8')
4 augmented_manifest_lines = augmented_manifest.split('\n')
5
/opt/conda/lib/python3.7/site-packages/boto3/resources/factory.py in do_action(self, *args, **kwargs)
518 # instance via ``self``.
519 def do_action(self, *args, **kwargs):
--> 520 response = action(self, *args, **kwargs)
521
522 if hasattr
[...]
ClientError: An error occurred (AccessDenied) when calling the GetObject operation: Access Denied
Contributor guide
Research direction
Open the linked notebook and inspect cell In[4], where the augmented manifest is read from S3. Reproduce the CI failure and investigate the AccessDenied response for the referenced object. Done means the notebook's CI run completes without the GetObject permission error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100