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args.py
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import argparse
import criteria
def add_network_args(parser):
parser.add_argument('-n', '--network-model',
type=str,
default="n",
choices=["n", "c"],
help='choose a model: normal(n) or with confidence(c) (default: n)')
parser.add_argument('-nv', '--network-variant',
type=str,
default="costdcnet",
choices=["gt", "through", "nlspn", "costdcnet"],
help='choose a variant of model')
def add_hyperparameter_args(parser):
parser.add_argument('--seed', '-se',
default=-1,
type=int,
metavar='N',
help='seed value. if -1, random seed (default: -1)')
parser.add_argument('--epochs',
default=50,
type=int,
metavar='N',
help='number of total epochs to run (default: 50)')
parser.add_argument('-b', '--batch-size',
default=1,
type=int,
help='mini-batch size (default: 1)')
parser.add_argument('--lr', '--learning-rate',
default=1e-3,
type=float,
metavar='LR',
help='initial learning rate (default 1e-5)')
parser.add_argument('--weight-decay', '--wd',
default=1e-6,
type=float,
metavar='W',
help='weight decay (default: 0)')
parser.add_argument('--train-num',
default=0,
type=int,
help='the number of train data, 0 is all (default: 0)')
parser.add_argument('--train-random',
action="store_true",
default=False,
help='random pickup for training data (default: false)')
def add_loss_function_args(parser):
parser.add_argument('-c', '--criterion',
metavar='LOSS',
default='l2',
choices=criteria.loss_names,
help='loss function: | '.join(criteria.loss_names) +
' (default: l2)')
parser.add_argument('--rank-metric',
type=str,
default='mae',
help='metrics for which best result is saved')
def add_data_args(parser):
parser.add_argument('-dt', '--data-type',
default='ed',
type=str,
choices=["ed", "cdp", "cdp1169"],
help='The type of source data (ed:EdgeDepth, cdp:CanonDualPixel, cdp:CanonDualPixel, resolution:1169x779).')
def add_paths_args(parser):
parser.add_argument('--data-folder',
default='../data/dataset/train',
type=str,
metavar='PATH',
help='data folder')
parser.add_argument('--result',
default='../data/results/',
type=str,
metavar='PATH',
help='result folder (default: "../data/results/")')
parser.add_argument('--suffix',
default="",
type=str,
metavar='FN',
help='suffix of result folder name (default: none)')
parser.add_argument('--source-directory',
default='.',
type=str,
metavar='PATH',
help='source code directory for backup (default: .)')
def add_augmentation_args(parser):
parser.add_argument('--random-crop',
action="store_true",
default=False,
help='Random cropping (default: false)')
parser.add_argument('-he', '--random-crop-height',
default=384,
type=int,
metavar='N',
help='random crop height (default: 384)')
parser.add_argument('-w', '--random-crop-width',
default=640,
type=int,
metavar='N',
help='random crop height (default: 640)')
parser.add_argument('--jitter',
type=float,
default=0.1,
help='color jitter for images')
def add_resume_args(parser):
parser.add_argument('--resume',
default='',
type=str,
metavar='PATH',
help='path to latest checkpoint (default: none)')
parser.add_argument('--start-epoch',
default=0,
type=int,
metavar='N',
help='manual epoch number (useful on restarts)')
parser.add_argument('--start-epoch-bias',
default=0,
type=int,
metavar='N',
help='manual epoch number bias(useful on restarts)')
parser.add_argument('-ol', '--optimizer-load',
action="store_true",
default=False,
help='load optimizer when resumimg (default: false)')
parser.add_argument('--autoresume',
action="store_true",
default=False,
help='auto resume from latest checkpoint (default: false)')
parser.add_argument('--bestresume',
action="store_true",
default=False,
help='auto resume from best checkpoint (default: false)')
def add_evaluation_args(parser):
parser.add_argument('-e', '--evaluate',
default='',
type=str,
metavar='PATH',
help='use existing models for evaluation (default: none)')
parser.add_argument('--test',
action="store_true",
default=False,
help='save result of test dataset for submission')
parser.add_argument('--test-with-gt',
action="store_true",
default=False,
help='test with ground truth.')
parser.add_argument('-p', '--print-freq',
default=10,
type=int,
metavar='N',
help='print frequency (default: 10)')
parser.add_argument('--skip-image-output',
action="store_true",
default=False,
help='skip generating and outputting the result image (default: false)')
parser.add_argument('--skip-conditional-img',
action="store_true",
default=True,
help='skip generating conditional image (default: true)')
parser.add_argument('--vis-skip',
default=-1,
type=int,
metavar='N',
help='skip of visualize comparison image, automode when set -1 (default: -1)')
parser.add_argument('--eval-each',
action="store_true",
default=False,
help='evaluation for each image (default: false)')
parser.add_argument('--depth-max',
default=65.535,
type=float,
metavar='DMAX',
help='Max depth (default: 65.535m)')
parser.add_argument('--depth-min',
default=0.0,
type=float,
metavar='DMIN',
help='Min depth (default: 0.0m)')
parser.add_argument('--vis-depth-max',
default=3.0,
type=float,
metavar='VDMAX',
help='Max depth for visualization (default: 3.0m)')
parser.add_argument('--vis-depth-min',
default=0.0,
type=float,
metavar='VDMIN',
help='Min depth for visualization (default: 0.0m)')
parser.add_argument('--eval-depth-min',
default=0.5,
type=float,
metavar='EDMIN',
help='Min depth for evaluation (default: 0.1m)')
parser.add_argument('--eval-depth-max',
default=3.0,
type=float,
metavar='EDMAX',
help='Max depth for evaluation (default: 65.535m)')
parser.add_argument('--vis-depth-inv',
action="store_true",
default=True,
help='Use inverse depth for visualization (default: true)')
def add_dual_pixel_args(parser):
parser.add_argument('--phase-max',
default=40.0,
type=float,
metavar='PMAX',
help='max phase (default: 10pixel)')
parser.add_argument('--phase-min',
default=-40.0,
type=float,
metavar='PMIN',
help='min phase (default: -10pixel)')
parser.add_argument('--vis-phase-max',
default=10.0,
type=float,
metavar='VPMAX',
help='max phase for visualization (default: 10pixel)')
parser.add_argument('--vis-phase-min',
default=-10.0,
type=float,
metavar='VPMIN',
help='min phase for visualization (default: -10pixel)')
parser.add_argument('--vis-phase-inv',
action="store_true",
default=True,
help='use inverse phase for visualization (default: true)')
parser.add_argument('-d2p', '--depth-to-phase',
action="store_true",
default=False,
help='convert depth to phase during training (default: false)')
parser.add_argument('-d2pvis', '--depth-to-phase-vis',
action="store_true",
default=False,
help='convert depth to phase at visualizing (default: false)')
parser.add_argument('-apn', '--add-phase-noise',
action="store_true",
default=False,
help='add noise to phase during training (default: false)')
parser.add_argument('-nt', '--noise-type',
default='efmount',
type=str,
metavar='NT',
help='type of noise [efmount / cmount / gauss] (default: efmount)')
parser.add_argument('-nsg', '--noise-sigma-gain',
default=5.0,
type=float,
metavar='NSM',
help='noise sigma gain (default: 5.0)')
parser.add_argument('-nsm', '--noise-sigma-max',
default=5.0,
type=float,
metavar='NSM',
help='noise sigma max (default: 5.0)')
parser.add_argument('-fl', '--focal-len',
default=50.0,
type=float,
metavar='FL',
help='focal length (default: 50.0)')
parser.add_argument('-pp', '--pixel-pitch',
default=0.025316456,
type=float,
metavar='PP',
help='pixel pitch (default: 0.025316456)')
parser.add_argument('--confmax',
default=1.0,
type=float,
metavar='CMAX',
help='maximum value of confidence (default: 1.0)')
parser.add_argument('--confmin',
default=0.0,
type=float,
metavar='CMIN',
help='minimum value of confidence (default: 0.0)')
parser.add_argument('--conf-lambda',
default=10.0,
type=float,
metavar='CL',
help='lambda value of confidence (default: 10.0)')
parser.add_argument('--conf-ft-scale',
default=16,
type=int,
choices=[1, 2, 4, 8, 16, 32],
help='confidence feature scale (default: 2)')
parser.add_argument('--conf-num-conv',
default=2,
type=int,
help='the number of convolution calclating confidence')
parser.add_argument('--conf-eval',
action="store_true",
default=False,
help='evaluation confidence map')
parser.add_argument('--conf-mask',
action="store_true",
default=False,
help='evaluation with confidence mask')
parser.add_argument('--conf-mask-thr',
default=1.0,
type=float,
help='threthold of confidence mask')
parser.add_argument('--conf-sparse-num',
default=50,
type=int,
metavar='CSN',
help='the number of sparsification of confidence evaluation')
parser.add_argument('--lowres-input',
action="store_true",
default=False,
help='use low resolution input.')
parser.add_argument('--lowres-cnn',
action="store_true",
default=False,
help='use low resolution input for CNN.')
parser.add_argument('--lowres-scale',
default=0.5,
type=float,
help='scale of low resolution input.')
parser.add_argument('--lowres-phase',
action="store_true",
default=False,
help='use low resolution input at phase detection.')
parser.add_argument('--lowres-pscale',
default=0.5,
type=float,
help='scale of low resolution input at phase detection.')
parser.add_argument('-fdmin', '--focus-dis-min',
default=500,
type=int,
help='min value of focus distance for augmentation')
parser.add_argument('-fdmax','--focus-dis-max',
default=3000,
type=int,
help='min value of focus distance for augmentation')
parser.add_argument('-fdstep','--focus-dis-step',
default=100,
type=int,
help='skip value of focus distance for augmentation')
parser.add_argument('-fsl', '--f-stop-list',
nargs='*',
default=[1.4, 2.0, 2.8, 4.0, 5.0],
type=float,
help='f stop list for augmentation')
parser.add_argument('--pre-matching',
action="store_true",
default=False,
help='have result data of pre matching')
parser.add_argument('--post-process',
action="store_true",
default=False,
help='apply postprocess')
parser.add_argument('--post-refine',
default='',
choices=['', 'wfgs'],
type=str,
help='apply post refinement')
parser.add_argument('--wfgs-lambda',
default=80000.0,
type=float,
help='lambda of WFGS')
parser.add_argument('--wfgs-lambda-att',
default=0.5,
type=float,
help='sigma of WFGS')
parser.add_argument('--wfgs-iter',
default=3,
type=int,
help='iteration of WFGS')
parser.add_argument('--wfgs-sigma',
default=16.0,
type=float,
help='sigma of WFGS')
parser.add_argument('--wfgs-mask-thr',
default=96.0,
type=float,
help='edge mask threshold of WFGS')
parser.add_argument('--wfgs-conf',
action="store_true",
default=False,
help='use confidence for WFGS')
parser.add_argument('--wfgs-conf-thr',
default=18.0,
type=float,
help='confidence threshold of WFGS')
parser.add_argument('--wfgs-prefill',
action="store_true",
default=False,
help='pre filling of WFGS')
parser.add_argument('--wfgs-prefill-wsize',
default=39,
type=int,
help='pre filling window size of WFGS')
parser.add_argument('--pix-shift',
default=25,
type=int,
help='value of pixel shift of matching')
parser.add_argument('--ref-area',
default=13,
type=int,
help='value of reference area of matching')
parser.add_argument('--output-lowres-phase',
action="store_true",
default=False,
help='output lowresolution phase image')
parser.add_argument('--output-mono',
action="store_true",
default=False,
help='output other mono image')
parser.add_argument('--use-executable',
action="store_true",
default=True,
help='Use executable for DPMatching (default: false)')
def add_debug_args(parser):
parser.add_argument('--small',
action="store_true",
default=False,
help='use small dataset (default: false)')
parser.add_argument('--small-rate',
default=0.01,
type=float,
metavar='SR',
help='rate of small dataset, use with "small" argument (default: 0.01)')
parser.add_argument('--backup-code',
action="store_true",
default=False,
help='backup source code when running (default: false)')
parser.add_argument('--select-data-num',
default=-1,
type=int,
metavar='SD',
help='select process data (default: -1)')
def add_other_args(parser):
parser.add_argument('--crop',
action="store_true",
default=False,
help='crop image')
parser.add_argument('--val-h',
default=384,
type=int,
metavar='N',
help='validation height (default: 384)')
parser.add_argument('--val-w',
default=640,
type=int,
metavar='N',
help='validation width (default: 640)')
parser.add_argument('--crop-folder-name',
default='',
type=str,
metavar='FN',
help='crop size for folder name (default: none)')
parser.add_argument('--workers',
default=4,
type=int,
metavar='N',
help='number of data loading workers (default: 4)')
parser.add_argument('--cpu',
action="store_true",
default=False,
help='run on cpu (default: false)')
parser.add_argument('--gpu',
default=-1,
type=int,
metavar='N',
help='GPU device, if -1, use parallel mode (default: -1)')
def parser():
parser = argparse.ArgumentParser(description='Depth densification')
add_network_args(parser)
add_hyperparameter_args(parser)
add_loss_function_args(parser)
add_data_args(parser)
add_paths_args(parser)
add_augmentation_args(parser)
add_resume_args(parser)
add_evaluation_args(parser)
add_dual_pixel_args(parser)
add_debug_args(parser)
add_other_args(parser)
args = parser.parse_args()
if args.data_type == 'ed':
args.depth_max = 10.0 # 10.0m max
elif args.data_type == 'cdp' or args.data_type == 'cdp1169':
args.depth_max = 2.55 # 2.55m max
if args.depth_to_phase:
args.original_depth_max = args.depth_max
args.original_depth_min = args.depth_min
args.depth_max = args.phase_max
args.depth_min = args.phase_min
args.vis_depth_max = args.vis_phase_max
args.vis_depth_min = args.vis_phase_min
args.vis_depth_inv = args.vis_phase_inv
args.eval_depth_min = args.phase_min
return args