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options.py
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options.py
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# Copyright Niantic 2019. Patent Pending. All rights reserved.
#
# This software is licensed under the terms of the Monodepth2 licence
# which allows for non-commercial use only, the full terms of which are made
# available in the LICENSE file.
from __future__ import absolute_import, division, print_function
import os
import argparse
class Options:
def __init__(self):
self.parser = argparse.ArgumentParser(description="Deep3D stabilizer options")
# RUN COMMAND
self.parser.add_argument('video_path',
type=str,
help='path to input video')
self.parser.add_argument("--name",
type=str,
help="the name of the video folder to process",
default="test")
self.parser.add_argument("--output_dir",
type=str,
help='output depths directory',
default='outputs')
# TRAINING options
self.parser.add_argument("--height",
type=int,
help="input image height",
default=128)
self.parser.add_argument("--width",
type=int,
help="input image width",
default=192)
self.parser.add_argument("--scales",
nargs="+",
type=int,
help="scales used in the loss",
default=[0])
self.parser.add_argument("--intervals",
nargs="+",
type=int,
help='the interval of nearby view for supvervision',
default=[1, 4, 9])
self.parser.add_argument('--rotation_mode',
type=str,
choices=['euler', 'quat'],
default='quat',
help='the rotation mode of pose vector')
self.parser.add_argument("--min_depth",
type=float,
help="minimum depth",
default=1e-3)
self.parser.add_argument("--max_depth",
type=float,
help="maximum depth",
default=10.0)
self.parser.add_argument('--img_mean',
type=float,
help='normalized mean',
default=0.45)
self.parser.add_argument('--img_std',
type=float,
help='normalized standard deviation',
default=0.225)
# LOSS WEIGHTS
self.parser.add_argument('--photometric_loss',
type=float,
help='the weight of photometric loss',
default=1.0)
self.parser.add_argument('--geometry_loss',
type=float,
help='the weight of geometry consistency loss',
default=0.5)
self.parser.add_argument('--ssim_weight',
type=float,
help='ssim weight',
default=0.5)
self.parser.add_argument('--flow_loss',
type=float,
help='the weight of flow consistency loss',
default=10.0)
self.parser.add_argument('--adaptive_alpha',
type=float,
default=1.2)
self.parser.add_argument('--adaptive_beta',
type=float,
default=0.85)
# OPTIMIZATION options
self.parser.add_argument("--batch_size",
type=int,
help="batch size",
default=80)
self.parser.add_argument("--learning_rate",
type=float,
help="learning rate",
default=2e-4)
self.parser.add_argument("--init_num_epochs",
type=int,
help="number of epochs for initialization",
default=300)
self.parser.add_argument("--num_epochs",
type=int,
help="number of epochs",
default=100)
# SYSTEM
self.parser.add_argument('--cuda',
default='cuda:0',
help='indicate cuda device')
self.parser.add_argument('--img_extension',
choices=['jpg', 'png'],
default='png',
help='the data type of input frames')
self.parser.add_argument('--save_together',
action='store_true',
dest='save_together',
help='save all result video in a single directory')
# recitification
self.parser.add_argument('--stability',
type=int,
help='std of gaussian filter for smoothing trajectory',
default=12)
self.parser.add_argument('--smooth_window',
type=int,
help='window size of moving average filter',
default=59)
self.parser.add_argument('--post_process',
action='store_true',
default=True,
help='handle dynamic objects in post processing')
def parse(self):
self.options = self.parser.parse_args()
return self.options