Rohit Garg
107 linhas
1.2 KiB
Python
107 linhas
1.2 KiB
Python
#!/usr/bin/env python
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# coding: utf-8
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# In[ ]:
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from google.colab import drive
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drive.mount('/gdrive',force_remount = True)
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# In[ ]:
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get_ipython().run_line_magic('cd', '../gdrive/MyDrive/emotion_recognition_project/')
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# # Incremental Learning for OASIS
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# **Arguments**
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#
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#
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# ---
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#
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# save = 'y/n'
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#
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# ---
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#
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#
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#
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#
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#
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# Eg. if you want to run model on OASIS dataset,don't want to save plots, with
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# command would be
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#
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# !python incremental_learning_OASIS.py n
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#
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#
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#
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#
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#
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# In[ ]:
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get_ipython().system('python incremental_learning_oasis.py n')
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#
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# # Incremental Learning for DEAP
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# **Arguments**
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#
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#
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# ---
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#
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# save = 'y/n'
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#
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# ---
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#
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#
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#
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#
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#
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# Eg. if you want to run model on DEAP dataset,don't want to save plots, with
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# command would be
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#
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# !python incremental_learning_DEAP.py n
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# In[ ]:
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get_ipython().system('python incremental_learning_deap.py n ')
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#
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# # Incremental Learning for DREAMER
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# **Arguments**
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#
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#
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# ---
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#
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# save = 'y/n'
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#
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# ---
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#
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#
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#
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#
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#
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# Eg. if you want to run model on DEAP dataset,don't want to save plots, with
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# command would be
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#
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# !python incremental_learning_DREAMER.py n
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# In[ ]:
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get_ipython().system('python incremental_learning_dreamer.py n ')
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# In[ ]:
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