AntoineH/smart_augmentation
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work in progress - validation brutus res

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Harle, Antoine (Contracteur) 2019-12-04 10:05:59 -05:00
parent f8cc38dd6b
commit bb59c7de25
8 changed files with 4278 additions and 4278 deletions
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25
higher/test_dataug.py
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@ -10,17 +10,17 @@ tf_names = [
'FlipLR',
'Rotate',
'TranslateX',
#'TranslateY',
#'ShearX',
#'ShearY',
'TranslateY',
'ShearX',
'ShearY',
## Color TF (Expect image in the range of [0, 1]) ##
#'Contrast',
#'Color',
#'Brightness',
#'Sharpness',
#'Posterize',
#'Solarize', #=>Image entre [0,1] #Pas opti pour des batch
'Contrast',
'Color',
'Brightness',
'Sharpness',
'Posterize',
'Solarize', #=>Image entre [0,1] #Pas opti pour des batch
#Color TF (Common mag scale)
#'+Contrast',
@ -64,8 +64,8 @@ else:
##########################################
if __name__ == "__main__":
n_inner_iter = 10
epochs = 100
n_inner_iter = 1
epochs = 200
dataug_epoch_start=0
#### Classic ####
@ -95,7 +95,8 @@ if __name__ == "__main__":
t0 = time.process_time()
tf_dict = {k: TF.TF_dict[k] for k in tf_names}
#tf_dict = TF.TF_dict
aug_model = Augmented_model(Data_augV6(TF_dict=tf_dict, N_TF=1, mix_dist=0.0, fixed_prob=False, fixed_mag=True, shared_mag=True), LeNet(3,10)).to(device)
#aug_model = Augmented_model(Data_augV6(TF_dict=tf_dict, N_TF=1, mix_dist=0.0, fixed_prob=False, prob_set_size=2, fixed_mag=True, shared_mag=True), LeNet(3,10)).to(device)
aug_model = Augmented_model(Data_augV5(TF_dict=tf_dict, N_TF=3, mix_dist=0.0, fixed_prob=False, fixed_mag=False, shared_mag=False), LeNet(3,10)).to(device)
#aug_model = Augmented_model(Data_augV5(TF_dict=tf_dict, N_TF=2, mix_dist=0.5, fixed_mag=True, shared_mag=True), WideResNet(num_classes=10, wrn_size=160)).to(device)
#aug_model = Augmented_model(RandAug(TF_dict=tf_dict, N_TF=2), LeNet(3,10)).to(device)
print(str(aug_model), 'on', device_name)