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Commits on Jan 19, 2018

• chore: Clarify evaluation results

  pierluigiferrari

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• chore: Fix table style

  pierluigiferrari

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• chore: Update evaluation results

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• chore: Fix title

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• init: Add Pascal VOC evaluation tutorial

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• init: Add tools for Pascal VOC evaluation

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• doc: Clarify evaluation results

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Commits on Jan 18, 2018

• chore: Fix table style

  pierluigiferrari

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• chore: Fix table style

  pierluigiferrari

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• doc: Add evaluation results for Pascal VOC2007 test

  pierluigiferrari

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• fix: Correct mean normalization channel order

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  pierluigiferrari

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• fix: Fix removal of batch items from batch

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Commits on Jan 17, 2018

• doc: Clarify the use of data augmentation

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  pierluigiferrari

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• doc: Add some important notes

  pierluigiferrari

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• chore: Reflect regularization option

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  pierluigiferrari

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• feat: Add L2 regularization

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• feat: Make ground truth optional in XML parser

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Commits on Jan 16, 2018

• doc: Include info on evaluation and MS COCO parser

  pierluigiferrari

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• init: Add MS COCO evaluation tutorial

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• fix: Ensure correct inverse coord transform when there are no labels

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• init: Add tools for MS COCO evaluation

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Commits on Jan 15, 2018

• refactor: Rename full_crop_and_resize to random_pad_and_resize

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  pierluigiferrari

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• chore: Enable mean normalization and channel swapping by default

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• chore: Update notebooks for updated generator API

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• doc: Clarify documentation for returns argument

  pierluigiferrari

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• fix: Fix incorrect variable name

  pierluigiferrari

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Commits on Jan 14, 2018

• refactor: Simplify generator output selection

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• doc: Make minor clarifications to some explanations

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• feat: Add JSON parser for MS COCO

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Commits on Jan 12, 2018

• feat: Define n_classes to be the number of positive classes

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  pierluigiferrari

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• fix: Fix decoder exception in case there are no predictions for an image

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Commits on Jan 11, 2018

• doc: Provide MS COCO scaling factors

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• feat: Add default values for steps

  pierluigiferrari

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Commits on Jan 10, 2018

• fix: Set correct default values for the aspect ratios

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  pierluigiferrari

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• feat: Implement customizable input normalization, steps, offsets

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