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options.py
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options.py
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"""
Copyright (C) 2019 NVIDIA Corporation. All rights reserved.
Licensed under the CC BY-NC-SA 4.0 license
(https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
"""
import argparse
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='CornerNet')
parser.add_argument('--gpu', dest='gpu',
help='gpu',
default=1, type=int)
parser.add_argument('--task', dest='task',
help='task type: [train, test, predict]',
default='train', type=str)
parser.add_argument('--restore', dest='restore',
help='how to restore the model',
default=1, type=int)
parser.add_argument('--batchSize', dest='batchSize',
help='batch size',
default=16, type=int)
parser.add_argument('--dataset', dest='dataset',
help='dataset name for training',
default='', type=str)
parser.add_argument('--testingDataset', dest='testingDataset',
help='dataset name for test/predict',
default='', type=str)
parser.add_argument('--dataFolder', dest='dataFolder',
help='data folder',
default='../../Data/ScanNet/', type=str)
parser.add_argument('--anchorFolder', dest='anchorFolder',
help='anchor folder',
default='anchors/', type=str)
parser.add_argument('--customDataFolder', dest='customDataFolder',
help='data folder',
default='test/custom', type=str)
parser.add_argument('--MaskRCNNPath', dest='MaskRCNNPath',
help='path to Mask R-CNN weights',
default='../mask_rcnn_coco.pth', type=str)
parser.add_argument('--numTrainingImages', dest='numTrainingImages',
help='the number of images to train',
default=1000, type=int)
parser.add_argument('--numTestingImages', dest='numTestingImages',
help='the number of images to test/predict',
default=100, type=int)
parser.add_argument('--testingIndex', dest='testingIndex',
help='the index of images to test',
default=-1, type=int)
parser.add_argument('--LR', dest='LR',
help='learning rate',
default=1e-5, type=float)
parser.add_argument('--numEpochs', dest='numEpochs',
help='the number of epochs',
default=1000, type=int)
parser.add_argument('--startEpoch', dest='startEpoch',
help='starting epoch index',
default=-1, type=int)
parser.add_argument('--modelType', dest='modelType',
help='model type',
default='', type=str)
parser.add_argument('--heatmapThreshold', dest='heatmapThreshold',
help='heatmap threshold for positive predictions',
default=0.5, type=float)
parser.add_argument('--distanceThreshold3D', dest='distanceThreshold3D',
help='distance threshold 3D',
default=0.2, type=float)
parser.add_argument('--distanceThreshold2D', dest='distanceThreshold2D',
help='distance threshold 2D',
default=20, type=float)
parser.add_argument('--numNodes', dest='numNodes',
help='the number of nodes',
default=10, type=int)
parser.add_argument('--width', dest='width',
help='input width',
default=640, type=int)
parser.add_argument('--height', dest='height',
help='input height',
default=512, type=int)
parser.add_argument('--outputDim', dest='outputDim',
help='output dimension',
default=256, type=int)
parser.add_argument('--numInputChannels', dest='numInputChannels',
help='the number of classes',
default=4, type=int)
## Flags
parser.add_argument('--visualizeMode', dest='visualizeMode',
help='visualization mode',
default='', type=str)
parser.add_argument('--trainingMode', dest='trainingMode',
help='training mode',
default='all', type=str)
parser.add_argument('--debug', dest='debug',
help='debug',
action='store_true')
parser.add_argument('--suffix', dest='suffix',
help='suffix',
default='', type=str)
parser.add_argument('--losses', dest='losses',
help='losses',
default='', type=str)
parser.add_argument('--blocks', dest='blocks',
help='blocks',
default='', type=str)
## Synthetic dataset
parser.add_argument('--locationNoise', dest='locationNoise',
help='the location noise',
default=0.0, type=float)
parser.add_argument('--cornerLocationNoise', dest='cornerLocationNoise',
help='the corner location noise',
default=0.0, type=float)
parser.add_argument('--occlusionNoise', dest='occlusionNoise',
help='occlusion noise',
default=0, type=int)
## Corner net options
parser.add_argument('--considerPartial', dest='considerPartial',
help='consider partial input',
action='store_true')
parser.add_argument('--predictAdjacency', dest='predictAdjacency',
help='predict adjacency',
action='store_true')
parser.add_argument('--correctionType', dest='correctionType',
help='connection type',
default='one', type=str)
parser.add_argument('--savePoints', dest='savePoints',
help='save points',
action='store_true')
parser.add_argument('--numViews', dest='numViews',
help='the number of views',
default=0, type=int)
parser.add_argument('--minNumPointRatio', dest='minNumPointRatio',
help='the minimum number of points (ratio)',
default=0.05, type=float)
## Mask RCNN options
parser.add_argument('--maskWidth', dest='maskWidth',
help='mask width',
default=56, type=int)
parser.add_argument('--maskHeight', dest='maskHeight',
help='mask height',
default=56, type=int)
parser.add_argument('--anchorType', dest='anchorType',
help='anchor type',
default='normal', type=str)
parser.add_argument('--numPositiveExamples', dest='numPositiveExamples',
help='the nummber of positive examples',
default=200, type=int)
## Plane options
parser.add_argument('--numAnchorPlanes', dest='numAnchorPlanes',
help='the number of anchor planes',
default=0, type=int)
parser.add_argument('--frameGap', dest='frameGap',
help='frame gap',
default=20, type=int)
parser.add_argument('--planeAreaThreshold', dest='planeAreaThreshold',
help='plane area threshold',
default=500, type=int)
parser.add_argument('--planeWidthThreshold', dest='planeWidthThreshold',
help='plane width threshold',
default=10, type=int)
parser.add_argument('--scaleMode', dest='scaleMode',
help='scale mode',
default='variant', type=str)
## Refinement options
parser.add_argument('--cornerPositiveWeight', dest='cornerPositiveWeight',
help='larger weight for corners to fight the positive-negative balance issue',
default=0, type=int)
parser.add_argument('--positiveWeight', dest='positiveWeight',
help='positive weight',
default=0.33, type=float)
parser.add_argument('--maskWeight', dest='maskWeight',
help='mask weight',
default=1, type=int)
parser.add_argument('--warpingWeight', dest='warpingWeight',
help='warping weight',
default=0.1, type=float)
parser.add_argument('--convType', dest='convType',
help='convolution type',
default='2', type=str)
## Evaluation options
parser.add_argument('--methods', dest='methods',
help='evaluation methods',
default='b', type=str)
args = parser.parse_args()
return args