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biigle / maia

:m: BIIGLE module for the Machine Learning Assisted Image Annotation method
GNU General Public License v3.0
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Support images that are smaller than 512x512px #28

Open mzur opened 5 years ago

mzur commented 5 years ago

The training dataset for Mask R-CNN is composed of 512x512px image crops. Smaller original images are not supported. Maybe change this to use the whole original image if it is smaller than 512x512px? As all training images need to have the same size, pad images with zeros to the largest image (crop) of the dataset (max 512x512).

mzur commented 1 year ago

The new pipeline with PyTorch now uses the MMDetection random cropping, which should return smaller images unchanged. I haven't tried, though. Also, novelty detection will be an issue, as it also processes images in 512x512 windows.