:orphan: .. _ahelp_apqc_make_tcsh.py: ***************** apqc_make_tcsh.py ***************** .. contents:: :local: | .. code-block:: none This program creates the single subject (ss) HTML review script '@ss_review_html', which itself generates images and text that form the afni_proc.py quality control (APQC) HTML. It is typically run by the afni_proc.py (AP) proc* script itself. Options: -uvar_json UJ :(req) UJ is a text file of uvars ("user variables") created by gen_ss_review.py that catalogues important files in the results directory, for the APQC. -subj_dir SD :(req) location of AP results directory (often '.', as this program is often run from within the AP results directory). -review_style RS :(opt) the 'style' of the APQC HTML output HTML. Allowed keywords are: basic, none, pythonic + Using 'pythonic' is the recommended way to go: the 1D images are the clearest and most informative. It means you need the Python module Matplotlib (v>=2.2) installed, which should be a light dependency. + Using 'basic' means that no Matplotlib will be used, just 1dplot, and the images will be more, well, basic-looking. + Using 'none' means no APQC HTML is generated (boooooo). -mot_grayplot_off :(opt) turn off the grayplot generation. This option was created for a specific case of a user who had a huuuge dataset and the grayplot took annoyingly long to estimate. Not recommended to use, generally. -vstat_list A B C ... :(opt, only applicable if stim timing is used in processing) provide a list of label items to specify which volumes's images should appear in the vstat QC block. Each item should correspond to subbrick label basename (so not including '_GLT', "#N", 'Tstat', 'Fstat', 'Coef', etc.) in the stats_dset. 'Full_Fstat' is always added/included, even if not provided in this list. If not used, the program uses default logic to pick up to 5 items to show. -can_add_blur CAB :(opt) if the FMRI processing did not use blurring, then the APQC HTML creation can add blurring to a couple steps within the QC generation that might be easier to interpret, such as the seedbased correlation maps, in the TSNR warns levels of any ROI TSNR tables, and in the corr_brain map. This program will check the uvars for whether blurring was used automatically, to know whether it would consider adding extra blur in the QC images; the TSNR warn levels will still be automatically adjusted based on blurring/not. These extra blurs *only* apply in the QC items, not in the final data; this program will check the uvars for whether blurring If you don't want this program to check to add any extra blur for data processed without blurring, then disable that here. Allowed values of CAB are: Yes or 1, No or 0. (def: Yes) -ow_mode OM :(opt) set overwrite mode; choices are backup -> move old QC dir to QC_