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Commits on Nov 17, 2019

• The app and the pipeline work well. Only docker remains.

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• Refactoring, docs

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• Significant speedups in inference and plotting

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• removed global constants, cleaned the code

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• Refactored inference pipeline. Now the inference is more efficient on both CPU and GPU. Hetmaps drawing is still inefficient and has to be improved (matplotlib is slow).

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Commits on Nov 16, 2019

• logs changes

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• Started to draft an app

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• First version of the dockerfile. Now seems to work as expected.

  lext

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• Split the code into inference and training. Removed extra stuff unrelated

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• dropped the snapshots. They will be downloaded from mipt-ml now.

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• Preparing for webapp

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Commits on Feb 28, 2019

• extended gradcam inference to write the results into a file, made it work for the case when left images are not flipped

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Commits on Feb 27, 2019

• fixed the cases when the input files are not 310x310 in gradcam prediction

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Commits on Sep 14, 2018

• Refactored into Python package

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• Merge pull request #7 from MIPT-Oulu/inference_wrapper

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Commits on Sep 13, 2018

• improved an inference wrapper for gradcam. Now ready for deployment everywhere

  lext

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• One more env fix

  soupault

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• Create env fix

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Commits on Sep 3, 2018

• Merge pull request #6 from MIPT-Oulu/gradcam

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• Remove IDE files

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• Revert pytorch version in env script

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• Device-agnostic produce_gradcam with pytorch 0.3.1 compatibility

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Commits on Sep 1, 2018

• Smarter path management in predict and produce_gradcam

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• Switched to pytorch 0.4.0

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• Added GradCAM generation script

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• Add torchvision to the env

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Commits on Aug 31, 2018

• Added excerpt from GradCAM notebook

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• Added scikit-learn to the env

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• Merge pull request #4 from soupault/changes

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• Rework README file

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• Conda script cleanup

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• Some PEP8 fixes

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• Move predict to the main codebase

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• Fix crop RoIs for 1-image datasets

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• Fixed typos in readme

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