Image transformations๏
Image mixin
- class simba.mixins.image_mixin.ImageMixin[source]๏
Methods to slice and compute attributes of images from tracking data and comparing those image attributes across sequential images.
This can be helpful when the behaviors studied are very subtle and the signal is very low in relation to the noise within the pose-estimated data. In these use-cases, we cannot use pose-estimated data directly, and we instead study histograms, contours and other image metrics within images derived from the intersection of geometries (like a circle around the nose) across sequential images. Often these methods are called using image masks created from pose-estimated points within
simba.mixins.geometry_mixin.GeometryMixinmethods.Important
If there is non-pose related noise in the environment (e.g., there are non-experiment related light sources that goes on and off, or other image noise that doesnโt necesserily affect pose-estimation reliability), this will negatively affect the reliability of most image attribute comparisons.
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Image GPU methods
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