Ys = hold['Ys']
Zs = hold['Zs']
ori_list = hold['ori_list']
id_remap = hold['id_remap']
all_grains_in_layer = np.unique(grain_map)
#%%
print('.......multi process..........')
#new gen_trial_data definition
progress_handler = nfutil.progressbar_progress_observer()
save_handler = nfutil.forgetful_result_handler()
controller = nfutil.ProcessController(save_handler,
progress_handler,
ncpus=44,
chunk_size=chunk_size)
multiprocessing_start_method = 'fork' if hasattr(os, 'fork') else 'spawn'
#%%
mis_all = np.zeros(grain_map.shape)
confidence_index_new = np.copy(confidence_map)
grain_map_new = np.copy(grain_map)
compiled_map = np.copy(grain_map.astype('float'))
#%%
import scipy.ndimage.morphology as morphology
#%%
for grain in range(1, all_grains_in_layer.shape[0]):
dark,
ome_dilation_iter,
threshold,
experiment.nrows,
experiment.ncols,
num_digits=6) #,grey_bnds=(5,5), gaussian=4.5)
#==============================================================================
# %% INSTANTIATE CONTROLLER - RUN BLOCK NO EDITING
#==============================================================================
progress_handler = nfutil.progressbar_progress_observer()
save_handler = nfutil.forgetful_result_handler()
controller = nfutil.ProcessController(save_handler,
progress_handler,
ncpus=mp.cpu_count(),
chunk_size=chunk_size)
multiprocessing_start_method = 'fork' if hasattr(os, 'fork') else 'spawn'
#==============================================================================
# %% TEST ORIENTATIONS - RUN BLOCK NO EDITING
#==============================================================================
raw_confidence = nfutil.test_orientations(image_stack, experiment, test_crds,
controller,
multiprocessing_start_method)
#==============================================================================
# %% POST PROCESS W WHEN TOMOGRAPHY HAS BEEN USED
#==============================================================================