AntoineH/smart_augmentation
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Harle, Antoine (Contracteur) 2020-01-20 11:05:40 -05:00
parent b67ec3c469
commit 2fe5070b09
5 changed files with 49 additions and 35 deletions
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24
higher/test_dataug.py
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@ -34,18 +34,18 @@ tf_names = [
#'=Posterize',
#'=Solarize',
'BShearX',
'BShearY',
'BTranslateX-',
'BTranslateX-',
'BTranslateY',
'BTranslateY-',
#'BShearX',
#'BShearY',
#'BTranslateX-',
#'BTranslateX-',
#'BTranslateY',
#'BTranslateY-',
'BadContrast',
'BadBrightness',
#'BadContrast',
#'BadBrightness',
'Random',
'RandBlend'
#'Random',
#'RandBlend'
#Non fonctionnel
#'Auto_Contrast', #Pas opti pour des batch (Super lent)
#'Equalize',
@ -171,7 +171,7 @@ if __name__ == "__main__":
t0 = time.process_time()
tf_dict = {k: TF.TF_dict[k] for k in tf_names}
aug_model = Augmented_model(Data_augV5(TF_dict=tf_dict, N_TF=3, mix_dist=1.0, fixed_prob=False, fixed_mag=False, shared_mag=False), model).to(device)
aug_model = Augmented_model(Data_augV5(TF_dict=tf_dict, N_TF=2, mix_dist=0.8, fixed_prob=False, fixed_mag=False, shared_mag=False), model).to(device)
#aug_model = Augmented_model(RandAug(TF_dict=tf_dict, N_TF=2), model).to(device)
print("{} on {} for {} epochs - {} inner_it".format(str(aug_model), device_name, epochs, n_inner_iter))
@ -190,7 +190,7 @@ if __name__ == "__main__":
times = [x["time"] for x in log]
out = {"Accuracy": max([x["acc"] for x in log]), "Time": (np.mean(times),np.std(times), exec_time), 'Optimizer': optim_param, "Device": device_name, "Param_names": aug_model.TF_names(), "Log": log}
print(str(aug_model),": acc", out["Accuracy"], "in:", out["Time"][0], "+/-", out["Time"][1])
filename = "{}-{} epochs (dataug:{})- {} in_it".format(str(aug_model),epochs,dataug_epoch_start,n_inner_iter)+"-opt_hp"
filename = "{}-{} epochs (dataug:{})- {} in_it".format(str(aug_model),epochs,dataug_epoch_start,n_inner_iter)
with open("res/log/%s.json" % filename, "w+") as f:
try:
json.dump(out, f, indent=True)