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https://github.com/AntoineHX/smart_augmentation.git
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Separation script plot compare
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parent
0d1a684aed
commit
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2 changed files with 29 additions and 19 deletions
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@ -781,20 +781,3 @@ if __name__ == "__main__":
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json.dump(out, f, indent=True)
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json.dump(out, f, indent=True)
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print('Log :\"',f.name, '\" saved !')
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print('Log :\"',f.name, '\" saved !')
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print('-'*9)
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print('-'*9)
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#### Comparison ####
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'''
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files=[
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#"res/log/LeNet-100 epochs.json",
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#"res/log/Aug_mod(Data_augV4(Uniform-4 TF)-LeNet)-100 epochs (dataug:0)- 0 in_it.json",
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#"res/log/Aug_mod(Data_augV4(Uniform-4 TF)-LeNet)-100 epochs (dataug:50)- 0 in_it.json",
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#"res/log/Aug_mod(Data_augV4(Uniform-3 TF)-LeNet)-100 epochs (dataug:0)- 0 in_it.json",
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#"res/log/Aug_mod(Data_augV3(Uniform-3 TF)-LeNet)-100 epochs (dataug:50)- 10 in_it.json",
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#"res/log/Aug_mod(Data_augV4(Mix 0,5-3 TF)-LeNet)-100 epochs (dataug:0)- 1 in_it.json",
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#"res/log/Aug_mod(Data_augV4(Mix 0.5-3 TF)-LeNet)-100 epochs (dataug:50)- 10 in_it.json",
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#"res/log/Aug_mod(Data_augV4(Uniform-3 TF)-LeNet)-100 epochs (dataug:0)- 10 in_it.json",
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#"res/log/Aug_mod(Data_augV4(Uniform-10 TF)-LeNet)-100 epochs (dataug:50)- 10 in_it.json",
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#"res/log/Aug_mod(Data_augV4(Uniform-10 TF)-LeNet)-100 epochs (dataug:50)- 0 in_it.json",
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]
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plot_compare(filenames=files, fig_name="res/compare")
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'''
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@ -80,8 +80,35 @@ def plot_compare(filenames, fig_name='res'):
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ax[1].set_title('Acc')
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ax[1].set_title('Acc')
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ax[2].set_title('Param')
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ax[2].set_title('Param')
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for a in ax: a.legend()
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for a in ax: a.legend()
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fig_name = fig_name.replace('.',',')
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fig_name = fig_name.replace('.',',')
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plt.savefig(fig_name, bbox_inches='tight')
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plt.close()
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def plot_res_compare(filenames, fig_name='res'):
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all_data=[]
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#legend=""
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for idx, file in enumerate(filenames):
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#legend+=str(idx)+'-'+file+'\n'
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with open(file) as json_file:
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data = json.load(json_file)
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all_data.append(data)
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n_tf = [len(x["Param_names"]) for x in all_data]
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acc = [x["Accuracy"] for x in all_data]
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time = [x["Time"][0] for x in all_data]
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fig, ax = plt.subplots(ncols=3, figsize=(30, 8))
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ax[0].plot(n_tf, acc)
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ax[1].plot(n_tf, time)
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ax[0].set_title('Acc')
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ax[1].set_title('Time')
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#for a in ax: a.legend()
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fig_name = fig_name.replace('.',',')
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plt.savefig(fig_name, bbox_inches='tight')
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plt.savefig(fig_name, bbox_inches='tight')
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plt.close()
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plt.close()
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