Esempio n. 1
0
from graphs.fid_graph import plot_multiple_runs

plot_multiple_runs(run_paths=[
    './../../results/00295-stylegan2-car_labels_oversample-baseline_oversample_v5_256'
],
                   descriptions=['New Baseline Model'],
                   xlabel='Million Images seen by the Discriminator',
                   ylabel='Fréchet Inception Distance',
                   title='FID of the New Baseline Model',
                   filename='rotation_baseline.png',
                   y_min=3,
                   y_max=10,
                   yticks=1,
                   x_min=0,
                   x_max=8,
                   show_lowest_value=False)
Esempio n. 2
0
from graphs.fid_graph import plot_multiple_runs

plot_multiple_runs(
    run_paths=[
        './../../results/00001-baseline_v5',
        './../../results/00083-conditional_randomize_label',
        './../../results/00327-conditional_label_dropout_25_v5',
    ],
    descriptions=['Baseline', 'Soft Label Randomization', 'Label Dropout'],
    xlabel='Million Images seen by the Discriminator',
    ylabel='Fréchet Inception Distance',
    title='Baseline with and without Labels',
    filename='label_sampling_fid_graph.png',
    y_min=3,
    y_max=20,
    yticks=2,
    x_min=0,
    x_max=6)
Esempio n. 3
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from graphs.fid_graph import plot_multiple_runs

plot_multiple_runs(run_paths=[
    './../results/00184-stylegan2-car_images_512-2gpu-baseline_without_labels'
],
                   descriptions=['Baseline without Labels'],
                   xlabel='Million Images seen by the Discriminator',
                   ylabel='Fréchet Inception Distance',
                   title='Baseline with Labels',
                   filename='baseline_without_labels.png',
                   y_min=0,
                   y_max=20,
                   yticks=2,
                   x_min=0,
                   x_max=10)
Esempio n. 4
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from graphs.fid_graph import plot_multiple_runs


plot_multiple_runs(
    run_ids=[
        121,
        117
    ],
    descriptions=[
        'Baseline with Labels',
        'Discriminator with Label Information'
    ],
    xlabel='Million Images seen by the Discriminator',
    ylabel='Fréchet Inception Distance',
    title='Separate Label Mapping',
    filename='disc_mod_fid.png',
    y_min=2,
    y_max=7,
    x_min=0,
    x_max=10)
Esempio n. 5
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from graphs.fid_graph import plot_multiple_runs

plot_multiple_runs(run_ids=[121, 70, 102],
                   descriptions=[
                       'Baseline with Labels', 'Separate Label Mapping (Add)',
                       'Separate Label Mapping (Concat)'
                   ],
                   xlabel='Million Images seen by the Discriminator',
                   ylabel='Fréchet Inception Distance',
                   title='Separate Label Mapping',
                   filename='separate_label_mapping.png',
                   y_min=2,
                   y_max=7,
                   x_min=0,
                   x_max=10)
Esempio n. 6
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from graphs.fid_graph import plot_multiple_runs


plot_multiple_runs(
    run_paths=[
        './../../results/00001-baseline_v5',
        './../../results/00410-disc_weight_mod_v5'
    ],
    descriptions=[
        'Baseline',
        'Discriminator with Label Information'
    ],
    xlabel='Million Images seen by the Discriminator',
    ylabel='Fréchet Inception Distance',
    title='Separate Label Mapping',
    filename='disc_mod_fid.png',
    y_min=4,
    y_max=10,
    x_min=0,
    x_max=5.5)