Visualization cell segmentation

[jkim0731]

• Added functions to visualize ROI outlines laid on top of either mean image or max projection image (with possible clipping).

Red is from 'valid' ROIs and yellow is from 'invalid' ROIs - the colors can be set as an input arg.

Can be run using the following lines of code:

Test brain_observatory_qc

from brain_observatory_qc.visualizations.data_processing.ophys.cell_segmentation import draw_roi_outlines oeid = 1219594255 fig, ax = plt.subplots() ax = draw_roi_outlines(oeid, ax=ax, valid='all', colors=['r','y'], linewidth=0.5) ax.set_title(f'{oeid} - All ROIs')

• Also added functions to quickly retrieve correct ophys frame rate, using platform.json file (from_lims.py)

[jkim0731]

Added drawing suite2p results.

[jkim0731]

The functions to get paired plane oeid is from paired_plane_registration.py, but seems relevant to be in from_lims.