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Commits on Jun 30, 2017

• Added some comments to the notebook

  

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• A notebook intended to perform surgery on the model weights to transfer

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• Added a network for transfer learning to a different subset of classes

  

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Commits on Jun 29, 2017

• Notebook for training and testing the network on dstl data now uses the

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• Minor modification to the notebooks

  

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• Modified the network .prototxt files such that they accept 600x600 tiled

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• Added solver_unified.protxt and validate.prototxt. The former includes

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• Added solver_unified.protxt and validate.prototxt. The former includes

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• Include a notebook that plots the image(tiles) overlaid with the ground

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• Removed unified network architecture prototxt file that ought to replace

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Commits on Jun 26, 2017

• Fixed a major bug that would cause xml output to contain identical copies of the last bbox

  

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• Also ignore *.caffemodel files

  

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• Included an architecture for training on 6+1 classes

  

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• Notebook that makes bboxes also contains some investigation into the relative frequencies of bbox sizes for each class.

  

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Commits on Jun 23, 2017

• New prototxt files for the training of just three classes

  

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• Modified the notebook file to allow fewer classes to be used in the training

  

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• Added some more output in the data copying stage

  

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• Added some more cells that study some statistics of the bboxes

  

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• Also ignore the 3_classes pretrained network files

  

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• Now also adapts network to train on fewer than 11 (10+bg) classes

  

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• A highly interesting image of ALL bounding boxes in the dataset

  

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• Also ignore the pretrained models fior VGG16 from version control

  

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• Included the VGG16 network files (required for earlier commit that generalized the notebooks)

  

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• Adapted notebooks to deal with VGG16 architecture OR ZF architecture of the imagenet networki _underlying_ the Faster R-CNN network.

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• Some added code to the bbox creation to investigate class imbalance and the distribution of bbox sizes (visually)

  

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• Changed solver file to use transfer learning network description (with disabled learning rate multipliers)

  

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Commits on Jun 21, 2017

• Added some more investigative cells to the notebook to inspect the loading of the pretrained network

  

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• Introduced several (three) different training networks for transfer learning

  

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• Training dstl now starts from the network derived from the network (pre)trained on the pascal VOC data set

  

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• Changed the net surgery file to be an integral part of the process that creates a network suitable for the dstl case (11 classes, inc bg) from a pretrained pascal_voc network (21 classes, inc bg)

  

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• Generating JPeg images now restores a human-eye-friendly white balance

  

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• New style of version control without output in ipython notebooks (.ipynb files)

  

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• Added a new notebook that deals with transfering a learned network from the pascal_voc case to dstl

  

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• train_transfer.prototxt is a file with modified learning rates for transfer learning.

  

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Commits on Jun 16, 2017

• Added trained model files to the ignore list

  

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