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options.py
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import argparse
import json
# training options
parser = argparse.ArgumentParser()
parser.add_argument("--model", type=str, default="edsr", help="model to use")
parser.add_argument("--lr", type=float, default=1e-4, help="learning rate")
parser.add_argument(
"--norm", type=str, default="", help="if normalization should not be used"
)
parser.add_argument(
"--nepoch", type=int, default=10, help="number of epochs to train for"
)
parser.add_argument(
"--saveinterval", type=int, default=10, help="number of epochs between saves"
)
parser.add_argument("--modifyPretrainedModel", action="store_true")
parser.add_argument("--multigpu", action="store_true")
parser.add_argument("--undomulti", action="store_true")
parser.add_argument(
"--ntrain", type=int, default=0, help="number of samples to train on"
)
parser.add_argument(
"--scheduler",
type=str,
default="",
help="options for a scheduler, format: stepsize,gamma",
)
parser.add_argument("--log", action="store_true")
parser.add_argument(
"--logimage", action="store_true", help="only save images in tensorboard file"
)
parser.add_argument(
"--noise",
type=str,
default="",
help="options for noise added, format: poisson,gaussVar",
)
parser.add_argument("--lambda_adv", type=float, default=0.001, help="lambda")
parser.add_argument("--lambda_pixel", type=float, default=0.01, help="lambda")
parser.add_argument("--gan_loss", type=float, default=0.03, help="gan loss percent")
# data
parser.add_argument(
"--dataset", type=str, default="imagedataset", help="dataset to train"
)
parser.add_argument(
"--imageSize", nargs="+", type=int, default=24, help="the low resolution image size"
)
parser.add_argument(
"--patchSize", type=int, default=None, help="patch size for of high res output (i.e. low res is patchSize/scale)"
)
parser.add_argument("--weights", type=str, default="", help="model to retrain from")
parser.add_argument(
"--basedir",
type=str,
default="",
help="path to prepend to all others paths: root, output, weights",
)
parser.add_argument(
"--root",
type=str,
default="/auto/homes/cnc39/phd/datasets",
help="dataset to train",
)
parser.add_argument("--rootValidation", type=str, default=None, help="dataset to valid")
parser.add_argument(
"--rootTesting", type=str, default=None, help="files for testFunction"
)
parser.add_argument(
"--testFunction", type=str, default=None, help="extra test function to run"
)
parser.add_argument(
"--testFunctionArgs", type=str, default=None, help="e.g. imgSize,100,nimg,5"
)
parser.add_argument(
"--server",
dest="root",
action="store_const",
const="/auto/homes/cnc39/phd/datasets",
help="whether to use server root preset: /auto/homes/cnc39/phd/datasets",
)
parser.add_argument(
"--local",
dest="root",
action="store_const",
const="C:/phd-data/datasets/",
help="whether to use local root preset: C:/phd-data/datasets/",
)
parser.add_argument(
"--out", type=str, default="results", help="folder to output model training results"
)
parser.add_argument(
"--cloud", action="store_true", help="folder to output model training results"
)
parser.add_argument("--disable_wandb", action="store_true", help="skip wandb")
parser.add_argument(
"--disposableTrainingData",
action="store_true",
help="whether to delete training data after training",
)
# computation
parser.add_argument(
"--workers", type=int, default=6, help="number of data loading workers"
)
parser.add_argument("--batchSize", type=int, default=16, help="input batch size")
# restoration options
parser.add_argument("--task", type=str, default="sr", help="restoration task")
parser.add_argument(
"--scale", type=int, default=4, help="low to high resolution scaling factor"
)
parser.add_argument("--nch_in", type=int, default=3, help="colour channels in input")
parser.add_argument("--nch_out", type=int, default=3, help="colour channels in output")
# architecture options
parser.add_argument(
"--narch", type=int, default=0, help="architecture-dependent parameter"
)
parser.add_argument(
"--n_resblocks", type=int, default=10, help="number of residual blocks"
)
parser.add_argument(
"--n_resgroups", type=int, default=10, help="number of residual groups"
)
parser.add_argument(
"--reduction", type=int, default=16, help="number of feature maps reduction"
)
parser.add_argument("--n_feats", type=int, default=64, help="number of feature maps")
parser.add_argument(
"--model_opts", type=json.loads, default=64, help="additional opts for model"
)
# test options
parser.add_argument(
"--ntest",
type=int,
default=10,
help="number of images to test per epoch or test run",
)
parser.add_argument(
"--testinterval",
type=int,
default=1,
help="number of epochs between tests during training",
)
parser.add_argument("--test", action="store_true")
parser.add_argument("--cpu", action="store_true") # not supported for training
parser.add_argument(
"--batchSize_test", type=int, default=1, help="input batch size for test loader"
)
parser.add_argument(
"--plotinterval", type=int, default=1, help="number of epochs between plotting"
)
parser.add_argument("--nplot", type=int, default=4, help="number of plots in a test")
# ----------- ML-SIM options
parser.add_argument(
"--sourceimages_path",
type=str,
default="/local/scratch/cnc39/phd/datasets/DIV2K/DIV2K_train_HR",
)
parser.add_argument(
"--params",
type=str,
default="GetParams",
)
parser.add_argument(
"--nrep", type=int, default=1, help="instances of same source image"
)
parser.add_argument("--datagen_workers", type=int, default=8, help="")
parser.add_argument("--ext", nargs="+", default=["png"])
## SIM options to control from command line
# stripes
parser.add_argument("--Nshifts", type=int, default=3)
parser.add_argument("--Nangles", type=int, default=3)
parser.add_argument("--k2", type=float, default=130.0)
parser.add_argument("--k2_err", type=float, default=15.0)
# spots
parser.add_argument("--Nspots", type=int, default=5)
parser.add_argument("--spotSize", type=int, default=1)
parser.add_argument("--PSFOTFscale", type=float, default=0.6)
parser.add_argument("--ModFac", type=float, default=0.5)
parser.add_argument("--usePSF", type=int, default=0)
parser.add_argument("--NoiseLevel", type=float, default=8)
parser.add_argument("--NoiseLevelRandFac", type=float, default=8)
parser.add_argument(
"--phaseErrorFac", type=float, default=0.15
) # pi/3 quite large but still feasible
parser.add_argument(
"--alphaErrorFac", type=float, default=0.15
) # pi/3 quite large but still feasible
parser.add_argument(
"--angleError", type=float, default=5
) # pi/3 quite large but still feasible
parser.add_argument("--usePoissonNoise", action="store_true")
parser.add_argument("--dontShuffleOrientations", action="store_true")
parser.add_argument("--dataonly", action="store_true")
parser.add_argument("--applyOTFtoGT", action="store_true")
parser.add_argument("--noStripes", action="store_true")
parser.add_argument("--seqSIM", action="store_true")
parser.add_argument("--skip_datagen", action="store_true")
parser.add_argument(
"--SIMmodality",
type=str,
default="stripes",
help="SIM modality",
choices=["stripes", "spots", "speckle"],
)
parser.add_argument(
"--patterns", action="store_true", help="Only illumination patterns"
)
# DMD options
parser.add_argument(
"--crop_factor", action="store_true", help="Crop factor for DMD coordinates"
)
parser.add_argument(
"--dmdMapping",
default=0,
type=int,
help="""whether to map image to DMD coordinates. 0:
no mapping (tilted coordinate system if using oblique DMD), 1: DMD coordinate
transformation for acquisition, 2: predicted physical appeareance on DMD for modelling""",
choices=[0, 1, 2],
)
# -------------