Esempio n. 1
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def extract_various_l1_gabors_reptiles_and_planes_subtasks_percentile(depends_on=('../config/reptile_plane_extraction_percentile.py',
                                                  '../config/various_l1_gabor_models.py',
                                                  '../config/reptiles_and_planes_images.py')):
    """
    """
    a,b,c = depends_on
    protocols.extraction_protocol(a,b,c,convolve_func_name='numpy', write=True,parallel=True,save_to_db=True,batch_size=100)
Esempio n. 2
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def extract_top5_manylevel_renderman_percentile(depends_on=('../config/renderman_extraction_percentile.py',
                                                  '../config/ht_manylevel_top5_renderman_models.py',
                                                  '../config/ten_categories_images.py')):
    """

    """
    a,b,c = depends_on
    protocols.extraction_protocol(a,b,c,convolve_func_name='numpy', write=True,parallel=True,save_to_db=True,batch_size=100)
Esempio n. 3
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def extract_various_l1_gabors_trans_and_inrot_percentile(depends_on=('../config/trans_inrot_extraction_percentile.py',
                                                  '../config/various_l1_gabor_models2.py',
                                                  '../config/ten_categories_images.py')):
    """

    """
    a,b,c = depends_on
    protocols.extraction_protocol(a,b,c,convolve_func_name='numpy', write=True,parallel=True,save_to_db=True,batch_size=100)
Esempio n. 4
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def extract_various_l1_gabors_face_and_table(depends_on=('../config/face_table_extraction.py',
                                                  '../config/various_l1_gabor_models.py',
                                                  '../config/ten_categories_images.py')):
    """
    two of the easier-to-separate (even with rotation) categories to see how the traces look different     
    """
    a,b,c = depends_on
    protocols.extraction_protocol(a,b,c,convolve_func_name='numpy', write=True,parallel=True,save_to_db=True,batch_size=100)
Esempio n. 5
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def extract_various_l1_gabors2_reptile_and_planes(depends_on=('../config/reptile_plane_extraction.py',
                                                  '../config/various_l1_gabor_models2.py',
                                                  '../config/ten_categories_images.py')):
    """
    increasing the number of orientations ... does that smooth things out?         
    """
    a,b,c = depends_on
    protocols.extraction_protocol(a,b,c,convolve_func_name='numpy', write=True,parallel=True,save_to_db=True,batch_size=100)
Esempio n. 6
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def extract_various_l1_gabors_reptile_and_planes(depends_on=('../config/reptile_plane_extraction.py',
                                                  '../config/various_l1_gabor_models.py',
                                                  '../config/ten_categories_images.py')):
    """
    hardest-to-separate pairwise task for rotation, to see what goes wrong with the feature traces.     
    result:  (see nugget 3) basically it looks like he general shape translates as expected but the magnitudes go up and down alot (for both planes and reptiles)
    so that the two clases switch magnitudes of features very sharply with rotation.   so maybe the gabor
    grid doesn't have fine enough orientation coverage?  (that doesn't "feel" right but we should check by double number of
    rotations)
    """
    a,b,c = depends_on
    protocols.extraction_protocol(a,b,c,convolve_func_name='numpy', write=True,parallel=True,save_to_db=True,batch_size=100)
Esempio n. 7
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def extract_optimal_darpa_models(depends_on=('../config/darpa_extraction.py',
                                            '../config/darpa_optimal_models.py',
                                            '../config/darpa_heli_optimalbbox_100000_enriched.py')):
    a,b,c = depends_on
    protocols.extraction_protocol(a,b,c,convolve_func_name='numpy', write=True,parallel=True, save_to_db=True, batch_size=100)
Esempio n. 8
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def extract_darpa_test_models(depends_on=('../config/darpa_test_extraction.py',
                                          '../config/darpa_test_models.py',
                                          '../config/darpa_heli_200_2500.py')):
    a,b,c = depends_on
    protocols.extraction_protocol(a,b,c,convolve_func_name='numpy', write=True,parallel=True,save_to_db=True,batch_size=100)
Esempio n. 9
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def extract_optimal_darpa_models_ontest_irobot(depends_on=('../config/darpa_extraction.py',
                                                        '../config/darpa_optimal_models.py',
                                                        '../config/darpa_heli_test_all_irobot.py')):
    a,b,c = depends_on
    protocols.extraction_protocol(a,b,c,convolve_func_name='numpy', write=True,parallel=True, save_to_db=True, batch_size=200)