aws / aws/amazon-sagemaker-examples
Image-classification-lst-format-highlevel.ipynb failed CI
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- Jupyter Notebook
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/introduction_to_amazon_algorithms/imageclassification_caltech/Image-classification-lst-format-highlevel.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [4]":
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CalledProcessError Traceback (most recent call last)
in
----> 1 get_ipython().run_cell_magic('bash', '', '\nmkdir -p caltech_256_train_60\nfor i in 256_ObjectCategories/*; do\n c=`basename $i`\n mkdir -p caltech_256_train_60/$c\n for j in `ls $i/*.jpg | shuf | head -n 60`; do\n mv $j
[...]
CalledProcessError: Command 'b'\nmkdir -p caltech_256_train_60\nfor i in 256_ObjectCategories/*; do\n c=`basename $i`\n mkdir -p caltech_256_train_60/$c\n for j in `ls $i/*.jpg | shuf | head -n 60`; do\n mv $j caltech_256_train_60/$c/\n done\ndone\n\npython im2rec.py --list --recursive caltech-256-60-train caltech_256_train_60/\npython im2rec.py --list --recursive caltech-256-60-val 256_ObjectCategories/\n'' returned non-zero exit status 1.
Contributor guide
Research direction
Open Image-classification-lst-format-highlevel.ipynb from the linked example and start by rerunning cell In [4], which invokes shell commands for dataset preparation and im2rec.py. Investigate the non-zero exit status and verify that the notebook completes successfully and CI passes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python, shell
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100