hsv = hsv_from_lab(lab)
hsl = hsl_from_lab(lab)
return (hex, lab, hsv, hsl)
def transform(self):
pass
def load(self):
pass
if __name__ == '__main__':
args = Arguments(description='a script to extract color information from '
'film stills and create a color cube to determine '
'the dominant colors. '
'You can pass a director name. '
'If no director name '
'is passed, the script defaults to all directors.')
args.add_argument(
'--director',
help='a single director name',
)
director = args.get('--director', None)
directors = list()
if not director:
directors = [
'christopher_nolan',
'coen_brothers',
lab = lab_from_rgb((r, g, b))
hsv = hsv_from_lab(lab)
hsl = hsl_from_lab(lab)
return (r, g, b, lab, hsv, hsl)
def transform(self):
pass
def load(self):
pass
if __name__ == '__main__':
args = Arguments(description='a script to upload images to tineye labs'
'and scrape extracted color information. '
'You can pass a director name. '
'If no director name '
'is passed, the script defaults to all directors.')
args.add_argument(
'--director',
help='a single director name',
)
director = args.get('--director', None)
if not director:
directors = ['christopher_nolan',
'coen_brothers',
'david_lynch',
'francis_ford_coppola',
sample_path=image)
def transform(self):
self.neural_net.process()
save_network_to_xml(net=None, file_name=None)
def load(self):
save_row(file=self.file,
row=[self.neural_net.cross_validation_result,
self.neural_net.test_result,
self.neural_net.train_result])
if __name__ == '__main__':
args = Arguments(description='a script to extract properties from '
'film stills for use in a neural network. '
'You can pass a director name. '
'If no director name '
'is passed, the script defaults to all directors.')
directors = {'christopher_nolan': 0,
'coen_brothers': 1,
'david_lynch': 2,
'spike_jonze': 3,
'wes_anderson': 4,}
workflow = NeuralNetWorkflow(directors=directors)
workflow.process()
lab = lab_from_rgb((r, g, b))
hsv = hsv_from_lab(lab)
hsl = hsl_from_lab(lab)
return (r, g, b, hex, lab, hsv, hsl)
def transform(self):
pass
def load(self):
pass
if __name__ == '__main__':
args = Arguments(description='a script to extract color information '
'from film stills and determine dominant '
'colors with k-means clustering. '
'You can pass a director name. '
'If no director name '
'is passed, the script defaults to all directors.')
args.add_argument(
'--director',
help='a single director name',
)
args.add_argument(
'--num_clusters',
help='an integer value that '
'represents the number of clusters',
type=int
)
director = args.get('--director', None)