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Ajout RandAugment
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3c2022de32
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4 changed files with 249 additions and 37 deletions
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@ -14,6 +14,26 @@ tf_names = [
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'ShearX',
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'ShearY',
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## Color TF (Expect image in the range of [0, 1]) ##
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'Contrast',
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'Color',
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'Brightness',
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'Sharpness',
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'Posterize',
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'Solarize', #=>Image entre [0,1] #Pas opti pour des batch
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#Color TF (Common mag scale)
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#'+Contrast',
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#'+Color',
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#'+Brightness',
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#'+Sharpness',
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#'-Contrast',
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#'-Color',
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#'-Brightness',
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#'-Sharpness',
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#'=Posterize',
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#'=Solarize',
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#'BRotate',
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#'BTranslateX',
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#'BTranslateY',
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@ -24,14 +44,10 @@ tf_names = [
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#'BadTranslateY',
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#'BadTranslateY_neg',
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## Color TF (Expect image in the range of [0, 1]) ##
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'Contrast',
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'Color',
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'Brightness',
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'Sharpness',
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'Posterize',
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'Solarize', #=>Image entre [0,1] #Pas opti pour des batch
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#'BadColor',
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#'BadSharpness',
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#'BadContrast',
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#'BadBrightness',
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#Non fonctionnel
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#'Auto_Contrast', #Pas opti pour des batch (Super lent)
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#'Equalize',
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@ -47,8 +63,8 @@ else:
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##########################################
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if __name__ == "__main__":
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n_inner_iter = 10
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epochs = 100
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n_inner_iter = 0
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epochs = 150
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dataug_epoch_start=0
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#### Classic ####
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@ -74,12 +90,13 @@ if __name__ == "__main__":
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print('-'*9)
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'''
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#### Augmented Model ####
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'''
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#'''
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t0 = time.process_time()
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tf_dict = {k: TF.TF_dict[k] for k in tf_names}
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#tf_dict = TF.TF_dict
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aug_model = Augmented_model(Data_augV5(TF_dict=tf_dict, N_TF=1, mix_dist=0.0, fixed_prob=True, fixed_mag=False, shared_mag=False), LeNet(3,10)).to(device)
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#aug_model = Augmented_model(Data_augV5(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)
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#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)
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aug_model = Augmented_model(RandAug(TF_dict=tf_dict, N_TF=2), LeNet(3,10)).to(device)
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print(str(aug_model), 'on', device_name)
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#run_simple_dataug(inner_it=n_inner_iter, epochs=epochs)
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log= run_dist_dataugV2(model=aug_model, epochs=epochs, inner_it=n_inner_iter, dataug_epoch_start=dataug_epoch_start, print_freq=10, loss_patience=None)
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@ -98,9 +115,9 @@ if __name__ == "__main__":
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print('Execution Time : %.00f '%(time.process_time() - t0))
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print('-'*9)
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'''
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#### TF tests ####
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#'''
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#### TF tests ####
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'''
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res_folder="res/brutus-tests/"
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epochs= 150
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inner_its = [1, 10]
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@ -150,4 +167,4 @@ if __name__ == "__main__":
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#plot_resV2(log, fig_name=res_folder+filename, param_names=tf_names)
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print('-'*9)
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#'''
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'''
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