Streamlined the segmentation tutorial notebook by removing extensive markdown explanations, redundant setup steps, and output logs. The revision focuses on a concise presentation of core functionalities like predicting, validating, and training models.
* Refactor code for speed and clarity
* Auto-format by https://ultralytics.com/actions
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* Update links
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* Update Dockerfile `FROM pytorch/pytorch:latest`
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* isort
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* spelling
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* Cleanup
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* Cleanup
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* Added a tutorial notebook for classification.
* Split a cell so that there is less room for error when a user pastes their own code snippet. Also added an active learning section at the end.
* Added a section to the classification tutorial notebook about the various methods of input for `classify/predict.py`.
* Updated link to colab
* WIP commit to show some of the errors when trying to match the main tutorial.
* Refactored the classification tutorial to be closer to the main tutorial.
* Update tutorial.ipynb
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update tutorial.ipynb
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Glenn Jocher
Ultralytics Assistant
nerdyespresso
Paul Guerrie