advanced_image_processing: Meshgrid result needed to be turned into an array.
advanced_image_processing: Corrected a bug where the index i was not being used to index points.
advanced_image_processing: Apparently, dilation and erosion do not return bool arrays. This has been fixed.
advanced_image_processing: Resolved case where removing_lines finds no lines that need to be resolved.
advanced_image_processing: Was not passing parameters to extract_f0 or wavelet_transform in preprocess_data. Now, corrected.
advanced_image_processing: Was using wrong variable to copy to new_data_spatialy_smoothed in extract_f0.
advanced_image_processing: VIGRA expects numpy arrays with single precision. Fixed convolutions in extract_f0 to reflect this.
advanced_image_processing: The function quantile expects an array with dimension no larger than 2. Corrected extract_quantile to provide this.
advanced_image_processing: The variable window_quantiles in extract_f0 had the wrong shape. Now, corrected.
neuron_volumina_viewer: Call to type no longer necessary as dtype now contains only a type.
batch_learner: No longer deletes debug group on startup if it already exists. After all, if the program is not resuming, it will have deleted this directory through the parent directory already.
advanced_image_processing: Added array debug logger callback to all preprocessing steps.
advanced_image_processing: The function generate_local_maxima_scikit_image was using the wrong name for an argument, which is now corrected.
advanced_image_processing: Corrected window_quantiles shape.
advanced_image_processing: Changed interpolation axis for extract_f0.
wavelet_transform: Was missing array debug logger, which is now added.
advanced_image_processing: Changed to take only the last wavelet transformed result.
batch_learner: Added max projection for the original images.