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from .base_options import BaseOptions
class DatasetOptions(BaseOptions):
def initialize(self, args=None):
# BaseOptions.initialize(self)
# type = int, float, str OR action='store_true'
# self.parser.add_argument(
# '--',
# type=int,
# default=0,
# help=''
# )
required = args is None
self.parser.add_argument(
'--in_dir',
type=str,
required=required,
help='input directory'
)
self.parser.add_argument(
'--out_dir',
type=str,
required=required,
help='output directory'
)
self.parser.add_argument(
'--split',
action='store_true',
help='construct train/test/split for this output, as A'
)
self.parser.add_argument(
'--ab',
action='store_true',
help='construct test split into directory A and B, where B = in_dir'
)
self.parser.add_argument(
'--mov',
action='store_true',
help='generate video from output directory'
)
self.parser.add_argument(
'--render-frames',
action='store_true',
help='render the source frames only'
)
self.parser.add_argument(
'--tag',
type=str,
default="",
help='another way to tag this whole thing'
)
self.parser.add_argument(
'--scp',
action='store_true',
help='scp this file somewhere'
)
self.parser.add_argument(
'--scp-to',
type=str,
default="jules@asdf.us:asdf/neural/",
help='scp destination'
)
## LIVE IMAGE PROCESSING
self.parser.add_argument(
'--send-image',
type=str,
default='b',
help='which image to send... a, b, recursive, sequence'
)
self.parser.add_argument(
'--store-a',
action='store_true',
help='dont remove the generated A image after processing it'
)
self.parser.add_argument(
'--store-b',
action='store_true',
help='after generating a B image, save it to disk'
)
self.parser.add_argument(
'--exit',
action='store_true',
help='exit immediately if set to true (used to interrupt)'
)
## IMAGE FILTERS
### RECURSION
self.parser.add_argument(
'--transition-period',
default=3000,
type=int,
help='period of sine wave transition'
)
self.parser.add_argument(
'--transition-min',
default=1e-3,
type=float,
help='minimum amount of stabilization to apply'
)
self.parser.add_argument(
'--transition-max',
default=1.0,
type=float,
help='maximum amount of stabilization to apply'
)
self.parser.add_argument(
'--recursive',
action='store_true',
help='recurse on previous output'
)
self.parser.add_argument(
'--recursive-frac',
default=0.3,
type=float,
help='amount of previous step to use in recursion'
)
self.parser.add_argument(
'--just-copy',
action='store_true',
help='dont preprocess first frame',
)
self.parser.add_argument(
'--sequence',
action='store_true',
help='recurse guided by image sequence'
)
self.parser.add_argument(
'--sequence-frac',
default=0.2,
type=float,
help='amount of sequence image to use in recursion'
)
self.parser.add_argument(
'--recurse-roll',
default=0,
type=int,
help='in px, roll mixed recursed image 1px to reduce vertical feedback'
)
self.parser.add_argument(
'--recurse-roll-axis',
default=1,
type=int,
help='axis of roll'
)
self.parser.add_argument(
'--process-frac',
default=0.5,
type=float,
help='amount of processed image (clahe, poster, etc) to use in feeder step'
)
### GRAYSCALE
self.parser.add_argument(
'--grayscale',
action='store_true',
help='convert image to grayscale first'
)
### CLAHE
self.parser.add_argument(
'--clahe',
action='store_true',
help='apply clahe contrast correction'
)
self.parser.add_argument(
'--clip-limit',
default=2.0,
type=float,
help='clip limit for clahe algorithm (1.0 is subtle, 4.0 is aggressive)'
)
### POSTERIZE
self.parser.add_argument(
'--posterize',
action='store_true',
help='posterize image'
)
self.parser.add_argument(
'--spatial-window',
default=16,
type=int,
help='spatial window for quantize'
)
self.parser.add_argument(
'--color-window',
default=64,
type=int,
help='color window for quantize'
)
### BRIGHTNESS GRADIENT
self.parser.add_argument(
'--brightness-gradient',
action='store_true',
help='gradiate from first frame to last (done in Lab colorspace)'
)
self.parser.add_argument(
'--brightness-sigma',
default=64,
type=int,
help='width of brightness gradient along L axis'
)
### BLUR
self.parser.add_argument(
'--blur',
action='store_true',
help='blur image by N'
)
self.parser.add_argument(
'--blur-radius',
default=3,
type=int,
help='blur sigma'
)
self.parser.add_argument(
'--blur-sigma',
default=0.0,
type=float,
help='blur sigma'
)
### CANNY EDGE DETECTION
self.parser.add_argument(
'--canny',
action='store_true',
help='do canny edge detection on image'
)
self.parser.add_argument(
'--canny-lo',
default=100,
type=int,
help='canny low threshold'
)
self.parser.add_argument(
'--canny-hi',
default=200,
type=int,
help='canny high threshold'
)
def parse(self, args=None):
if not self.initialized:
self.initialize(args)
if args is not None:
self.opt, unknown = self.parser.parse_known_args(args)
else:
self.opt, unknown = self.parser.parse_known_args()
argz = vars(self.opt)
print('------------ Options -------------')
for k, v in sorted(argz.items()):
print('%s: %s' % (str(k), str(v)))
print('-------------- End ----------------')
return self.opt
|
