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Commits on Feb 5, 2016

• Note about code maintenance

  rbgirshick

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Commits on May 6, 2015

• Document compat issues with Caffe master

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Commits on Jul 29, 2014

• Add extern C { ... } around blas code. This fixes compilation issues with MATLAB R2014a, which seems to use g++ by default to compile .c files.

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Commits on Jul 14, 2014

• add notes about these functions which are not useful to the general public

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Commits on Jun 26, 2014

• fix git clone error

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Commits on Jun 25, 2014

• add threshold to demo

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• nms thresh as argument

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Commits on Jun 11, 2014

• upgrade prototxt to caffe proto v1

  rbgirshick

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• update caffe version to v0.999 (kona-snow)

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• update data download READMEs and main README

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• improve demo; update models to caffe's v1 proto messages

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Commits on Jun 9, 2014

• add one-off function for testing with the built-in softmax

  rbgirshick

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• fix bug reported by Shubham Tulsiani

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Commits on May 15, 2014

• Pre-trained ILSVRC2013 (ImageNet) detection models

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Commits on May 8, 2014

• Added ILSVRC2013 detection results

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Commits on Apr 30, 2014

• Merge branch 'master' of github.com:rbgirshick/rcnn

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• option to run demo in CPU mode

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Commits on Apr 25, 2014

• Improvements to the installation instructions

  rbgirshick

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Commits on Apr 4, 2014

• load cached results if they exist

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• fix incorrect receptive field size

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Commits on Apr 1, 2014

• bug fix in receptive field size calculations

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Commits on Mar 20, 2014

• r2013a compatibility fix

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• Update README.md

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Commits on Mar 17, 2014

• Fix another small typo

  rbgirshick

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• Fixed small typo in README.md

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• point to R-CNN tagged Caffe release

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• Update LICENSE

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• Update README.md

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• Merge pull request rbgirshick#3 from jeffdonahue/futureproof-rcnn-features-2

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• allow for features from new and old matcaffe by canonicalizing them into

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Commits on Mar 15, 2014

• show how to use RCNN_CONFIG_OVERRIDE

  rbgirshick

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• fix workflow of the pool5 feature explorer

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• sprinkle functions with basic documentation

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• add copyright notices in files

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• instructions for unpacking pascal

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