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test_validation.py
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31 lines (15 loc) · 1.27 KB
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import cu__grid_cell.data_gen as dg
import cu__grid_cell.data_gen_threaded as thr
from cu__grid_cell.custom_loss import *
from cu__grid_cell.preparation import *
model_obj = preparation()
working_path = model_obj.get_working_DIR() # make all prep. work!
config = model_obj.config
val_data_obj = dg.data_gen(dataset=config.CU_test4_noline_hdf5_path,shuffle=False, augment=False, config = config, batchsize = 50, percentage_of_data=config.val_sample_percentage)# care loads howl dataset into ram!
model_obj.test_val(val_data_obj, 50)
val_data_obj = dg.data_gen(dataset=config.CU_test5_arrow_hdf5_path,shuffle=False, augment=False, config = config, batchsize = 50, percentage_of_data=config.val_sample_percentage)# care loads howl dataset into ram!
model_obj.test_val(val_data_obj, 50)
val_data_obj = dg.data_gen(dataset=config.CU_test6_curve_hdf5_path,shuffle=False, augment=False, config = config, batchsize = 50, percentage_of_data=config.val_sample_percentage)# care loads howl dataset into ram!
model_obj.test_val(val_data_obj, 50)
val_data_obj = dg.data_gen(dataset=config.CU_test8_night_hdf5_path,shuffle=False, augment=False, config = config, batchsize = 50, percentage_of_data=config.val_sample_percentage)# care loads howl dataset into ram!
model_obj.test_val(val_data_obj, 50)