STYLE_WEIGHT = 1e8
EDGE_WEIGHT = [1e8, 5e8, 1e9]
EDGE_THRESHOLD = 0.9
from cast import ExperimentRun, perform_transfer, Vgg16, get_device, save_image
CONTENT = [
'bottles', 'car1', 'dark', 'foots', 'nat2', 'nature', 'photo1',
'portrait1', 'portrait2', 'portrait3', 'portrait4', 'portrait5',
'portrait6'
]
STYLES = ['abstract', 'abstract1', 'aqua0', 'aqua1', 'sketch']
exp = ExperimentRun('all_images_qsobel')
exp.dump_sources()
device = get_device()
vgg = Vgg16().to(device)
fails = []
for s in STYLES:
for c in CONTENT:
item_name = f'{s}__{c}'
item_dir = exp.make_item_dir(item_name)
content = exp.load_content(c, 512, item_dir)
style = exp.load_style(s, 512, item_dir)
from cast import ExperimentRun, get_device, Vgg16, perform_transfer, save_image
STYLE_CONTENT_PAIRS = [
("abstract", "details1"),
("abstract", "bottles"),
("candy", "details2"),
("la_muse", "details3"),
("la_muse", "portrait3"),
("modern_abstract", "details1")
]
exp = ExperimentRun('pooling_vs_threshold')
exp.dump_sources()
device = get_device()
vgg = Vgg16().to(device)
fails = []
for s, c in STYLE_CONTENT_PAIRS:
item_name = f'{s}__{c}'
if (exp.results_dir / item_name).exists():
continue
item_dir = exp.make_item_dir(item_name)
content = exp.load_content(c, 512, item_dir)
style = exp.load_style(s, 512, item_dir)
'portrait6',
'portrait7',
'portrait9',
'portrait10',
'portrait8',
'bottles',
]
STYLES = [
'aqua_puantilism_2', 'geometry13', 'candy', 'aqua0', 'hadrd_geometry',
'abstract', 'oil_strikes', 'hard_geometry', 'la_muse', 'hard_geometry_2',
'aqua1', 'modern_abstract', 'hard_geometry_3', 'mosaics5',
'lowdetail_aqua', 'geometry_3d'
]
exp = ExperimentRun('lapstyle_vs_gatys_big')
exp.dump_sources()
device = get_device()
vgg = Vgg16().to(device)
fails = []
for s in STYLES:
for c in CONTENT:
item_name = f'{s}__{c}'
if (exp.results_dir / item_name).exists():
continue
("abstract", "portrait1"),
("abstract", "portrait3"),
("aqua_puantilism_2", "details3"),
("aqua_puantilism_2", "portrait3"),
("aqua_puantilism_2", "portrait4"),
("smallworld", "boy"),
("candy", "bottles"),
("candy", "details3"),
("geometry13", "portrait9"),
("hadrd_geometry", "portrait5"),
("hadrd_geometry", "portrait9"),
("lowdetail_aqua", "portrait8"),
("lowdetail_aqua", "portrait9")
]
exp = ExperimentRun('scaling-lum_1')
exp.dump_sources()
device = get_device()
vgg = Vgg16().to(device)
fails = []
for s, c in STYLE_CONTENT_PAIRS:
item_name = f'{s}__{c}'
if (exp.results_dir / item_name).exists():
continue
CONTENT = [
'details2',
'details1',
'portrait2',
'portrait8',
]
STYLES = [
'aqua_puantilism_2',
'candy',
'hadrd_geometry',
'hard_geometry_2',
]
exp = ExperimentRun('qbsobel_sigma')
exp.dump_sources()
device = get_device()
vgg = Vgg16().to(device)
fails = []
for s in STYLES:
for c in CONTENT:
item_name = f'{s}__{c}'
if (exp.results_dir / item_name).exists():
continue
'bottles',
'car1',
'dark',
'foots',
'nat2',
'nature',
'photo1',
'portrait1',
'portrait2',
'portrait3',
'portrait4',
'portrait5',
'portrait6'
]
exp = ExperimentRun('sobel-histogram')
sobel = SobelFilter(angles=False)
for c in CONTENT:
content = exp.load_content(c, size=512)
contours = sobel(content)[0].numpy()
plt.figure(121)
plt.imshow(tensor2ndimage(content))
plt.figure(122)
plt.hist(contours.flatten(), bins=100)
plt.savefig(exp.results_dir / f'{c}.png')
plt.close()
EDGE_THRESHOLD = 0.9
from cast import ExperimentRun, perform_transfer, Vgg16, get_device, save_image
CONTENT = [
'megan',
'boy',
'goat',
]
STYLE = [
'la_muse',
'flowers',
'smallworld',
]
exp = ExperimentRun('qsobel_lapstyle_samples')
exp.dump_sources()
device = get_device()
vgg = Vgg16().to(device)
fails = []
for s in STYLE:
for c in CONTENT:
item_name = f'{s}__{c}'
if (exp.results_dir / item_name).exists():
continue
("abstract", "portrait1"),
("abstract", "portrait3"),
("aqua_puantilism_2", "details3"),
("aqua_puantilism_2", "portrait3"),
("aqua_puantilism_2", "portrait4"),
("smallworld", "boy"),
("candy", "bottles"),
("candy", "details3"),
("geometry13", "portrait9"),
("hadrd_geometry", "portrait5"),
("hadrd_geometry", "portrait9"),
("lowdetail_aqua", "portrait8"),
("lowdetail_aqua", "portrait9")
]
exp = ExperimentRun('sobel_gs_weight-1')
exp.dump_sources()
device = get_device()
vgg = Vgg16().to(device)
fails = []
for s, c in STYLE_CONTENT_PAIRS:
item_name = f'{s}__{c}'
if (exp.results_dir / item_name).exists():
continue
("la_muse", "details3"), ("la_muse", "portrait3"),
("modern_abstract", "details1"),
("abstract", "bottles"), ("abstract", "details3"),
("abstract", "details4"), ("abstract", "photo1"),
("abstract", "portrait1"), ("abstract", "portrait3"),
("aqua_puantilism_2", "details3"),
("aqua_puantilism_2", "portrait3"),
("aqua_puantilism_2", "portrait4"),
("smallworld", "boy"), ("candy", "bottles"),
("candy", "details3"), ("geometry13", "portrait9"),
("hadrd_geometry", "portrait5"),
("hadrd_geometry", "portrait9"),
("lowdetail_aqua", "portrait8"),
("lowdetail_aqua", "portrait9")]
exp = ExperimentRun('symm_vs_asymm')
exp.dump_sources()
device = get_device()
vgg = Vgg16().to(device)
fails = []
for s, c in STYLE_CONTENT_PAIRS:
item_name = f'{s}__{c}'
if (exp.results_dir / item_name).exists():
continue
STYLE_WEIGHT = 1e8
EDGE_WEIGHT = 1e9
EDGE_THRESHOLD = 0.5
from cast import ExperimentRun, perform_transfer, Vgg16, get_device, save_image
CONTENT = [
'bottles', 'car1', 'dark', 'foots', 'nat2', 'nature', 'photo1',
'portrait1', 'portrait2', 'portrait3', 'portrait4', 'portrait5',
'portrait6'
]
STYLES = ['abstract', 'abstract1', 'aqua0', 'aqua1', 'sketch']
exp = ExperimentRun('all-images-versus-nonorm')
exp.dump_sources()
device = get_device()
vgg = Vgg16().to(device)
fails = []
for s in STYLES:
for c in CONTENT:
item_name = f'{s}__{c}'
item_dir = exp.make_item_dir(item_name)
content = exp.load_content(c, 512, item_dir)
style = exp.load_style(s, 512, item_dir)