AntoineH/smart_augmentation
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Support taille arbitraire de sets dans Dataugv6

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Harle, Antoine (Contracteur) 2019-12-02 08:22:24 -05:00
parent 6f9cb2cd68
commit f8cc38dd6b
4 changed files with 2176 additions and 2155 deletions
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36
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',
@ -44,10 +44,10 @@ tf_names = [
#'BadTranslateY',
#'BadTranslateY_neg',
'BadColor',
'BadSharpness',
'BadContrast',
'BadBrightness',
#'BadColor',
#'BadSharpness',
#'BadContrast',
#'BadBrightness',
#Non fonctionnel
#'Auto_Contrast', #Pas opti pour des batch (Super lent)
@ -91,11 +91,11 @@ if __name__ == "__main__":
print('-'*9)
'''
#### Augmented Model ####
'''
#'''
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=3, 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, fixed_mag=True, shared_mag=True), 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)
@ -116,9 +116,9 @@ if __name__ == "__main__":
print('Execution Time : %.00f '%(time.process_time() - t0))
print('-'*9)
'''
#### TF tests ####
#'''
#### TF tests ####
'''
res_folder="res/brutus-tests/"
epochs= 150
inner_its = [1]
@ -168,4 +168,4 @@ if __name__ == "__main__":
#plot_resV2(log, fig_name=res_folder+filename, param_names=tf_names)
print('-'*9)
#'''
'''