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Commits on Feb 22, 2016

• MS COCO dataset support

  rbgirshick

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Commits on Feb 12, 2016

• Python eval code, finally! (Thanks to @bharath272)

  rbgirshick

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Commits on Feb 10, 2016

• Add MODELS_DIR config

  rbgirshick

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Commits on Feb 9, 2016

• Refactor datasets package (empty __init__.py)

  rbgirshick

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Commits on Dec 8, 2015

• typo fix

  rbgirshick

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Commits on Oct 28, 2015

• Set cfg.GPU_ID in demo.py

  rbgirshick

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Commits on Oct 20, 2015

• bug fix (*fast-rcnn* issue rbgirshick#69; thanks to @guyrose3 for pointing this out)

  rbgirshick

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Commits on Oct 5, 2015

• RPN layers, Faster R-CNN training, misc improvements

  rbgirshick

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Commits on May 6, 2015

• fixed cpu mode

  drozdvadym

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• fix the model path in the demo

  

  Alexander Kolesnikov

  authored and

  rbgirshick

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Commits on May 1, 2015

• fix the rng seed for caffe (not just numpy); option to randomize training

  rbgirshick

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Commits on Apr 30, 2015

• add mat files for boxes, remove pickled version (and update demo.py)

  rbgirshick

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• add args to tools/reval.py; fix comp_mode abstraction

  rbgirshick

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• Improve readmes

  rbgirshick

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• tool script docstrings

  rbgirshick

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Commits on Apr 29, 2015

• demo tweaks

  rbgirshick

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  3e5f1b6

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• command line options

  rbgirshick

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  630ea24

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• minor refactoring

  rbgirshick

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• demo

  rbgirshick

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Commits on Apr 28, 2015

• Update README.md

  rbgirshick

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Commits on Apr 27, 2015

• misc cleanup

  rbgirshick

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• start of big refactoring; python layer for roi data

  rbgirshick

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Commits on Apr 26, 2015

• VGG16 name normalization

  rbgirshick

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Commits on Apr 24, 2015

• add feature scaling used in slow R-CNN

  rbgirshick

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• re-eval: option to use mat files; some pylint fixes

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Commits on Apr 22, 2015

• reorg code

  rbgirshick

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  a8a0f55

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• name fix

  rbgirshick

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  caa4a46

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• reorg

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Commits on Apr 21, 2015

• organizing experiments

  rbgirshick

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• TEST: BINARY -> SVM

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Commits on Apr 17, 2015

• forgot to flip the images...again

  rbgirshick

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• forgot to flip the images

  rbgirshick

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• use flipped examples for SVM training, too

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• tool for training SVMs (old skool)

  rbgirshick

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• option to run in 'competition mode' for saving PASCAL eval server results

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