Export data for ML training
Convert Pixeltable data to PyTorch DataLoader format for model training.
Updated Open in Colab
Upload media to S3 and other cloud storage
When Pixeltable generates media files (thumbnails, extracted frames, processed images), by default it stores them locally.
Data Import/Export · Notebook · Updated
Colab runs it in your browser. If it calls a model provider, it asks for that provider's API key in a cell.
What it covers
- What you'll learn
- How it works
- Default destinations
- Per-column destinations
- Changing global destinations
- Overriding global destinations
- Getting URLs for your files
- Generating presigned URLs
What it uses
- Install
- terminalpip install pixeltable
- Pixeltable calls
net.presigned_url()pxt.create_table()insert()add_computed_column()
A look at the code
data-export-s3.ipynb
# Add computed column with no destination specified - uses defaultt.add_computed_column(flipped=t.source_image.transpose(0), if_exists='replace')
One cell of the notebook, copied as it is. Open it in Colab for the rest.
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