grain_map = hold['grain_map']
confidence_map = hold['confidence_map']
Xs = hold['Xs']
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'))
#%%
#==============================================================================
# %% VIEW IMAGES FOR DEBUGGING TO LOOK AT IMAGE PROCESSING PARAMETERS
#==============================================================================
plt.close('all')
img_to_view=0
plt.imshow(image_stack[img_to_view,:,:],interpolation='none')
#==============================================================================
# %% 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)