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augmentationtutorial's Introduction

AugmentationTutorial

principle

gray scale and rgb scale compatability

detection(with boxes) and classification(with label) compatability

cpp and python framework

progress

  • flip (vertical and horizontal done)
  • rotate 90 degree
  • distort/color jitter
  • expand
  • random crop
  • clip bbox to border
  • resize
  • stable resize (keep width/height ratio unchanged)
  • data validation check
  • data format convert, Tensor to numpy in pyTorch, tf.Variable to numpy in Tensorflow, etc.
  • check data batch and display
  • Basic format for test
  • cpp data augmentation framework

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