def plot(self):
for ds in self._datasets:
plot = OpticalFlow.EpePlot(ds)
plot.addMethods(self._methods, self._args.type)
if self._args.diff: plot.makeDiff()
plot.setColorDef(self._args.colordef)
plot.plot()
plt.show()
def data(self, downsample = 1):
if self._type == "image":
Image = misc.imread(self._path)[:, :, 0:3]
if downsample != 1: Image = tb.downsampleImage(Image, downsample)
return Image[..., np.r_[2, 1, 0]].transpose((2, 0, 1))
elif self._type == "flow":
flow = tb.readFlow(self._path)
flow = flow[:, :, 0:2]
if downsample != 1: flow = OpticalFlow.downsampleMedian(flow, downsample)
flow = flow.transpose((2, 0, 1))
nanMask = np.isnan(flow)
data = (flow * 32.0).astype(np.int16)
data[nanMask] = np.iinfo(np.int16).max
return data
elif self._type == "leftdisparity":
disparity = tb.readDisparity(self._path)
nanMask = np.isnan(disparity)
disparity *= -1
if downsample != 1: raise Exception("no downsampling implemented for disparity")
data = (disparity * 32.0).astype(np.int16)
data[nanMask] = np.iinfo(np.int16).max
return data
elif self._type == "rightdisparity":
disparity = tb.readDisparity(self._path)
nanMask = np.isnan(disparity)
if downsample != 1: raise Exception("no downsampling implemented for disparity")
data = (disparity * 32.0).astype(np.int16)
data[nanMask] = np.iinfo(np.int16).max
return data
elif self._type == "leftdisparitychange":
disparityChange = tb.readDisparity(self._path)
nanMask = np.isnan(disparityChange)
disparityChange *= -1
if downsample != 1: raise Exception("no downsampling implemented for disparity")
data = (disparityChange * 32.0).astype(np.int16)
data[nanMask] = np.iinfo(np.int16).max
return data
elif self._type == "rightdisparitychange":
disparityChange = tb.readDisparity(self._path)
nanMask = np.isnan(disparityChange)
if downsample != 1: raise Exception("no downsampling implemented for disparity")
data = (disparityChange * 32.0).astype(np.int16)
data[nanMask] = np.iinfo(np.int16).max
return data
else:
raise Exception('unhandled data type')
def computeJobImplementation(self, job):
args = []
args.append('epicflow')
args.append(self.img1Path())
args.append(self.img2Path())
args.append(
self._ent.inFile(
OpticalFlow.Specification('sed'),
'boundary.bin')[0 if self.spec().direction() == '+' else 1])
args.append(self._ent.bind(self.spec().inputs()[0]).file('flow.match'))
args.append('flow.flo')
if self._ent.dsName().startswith('sintel'): args.append('-sintel')
if self._ent.dsName().startswith('kitti'): args.append('-kitti')
if self._ent.dsName().startswith('middlebury'):
args.append('-middlebury')
job.addCommand(self.path(), ' '.join(args))
def __init__(self):
parser = argparse.ArgumentParser()
parser.add_argument('--format', help='id formatting', default='%04d')
parser.add_argument('--verbose', help='verbose', action='store_true')
parser.add_argument('--label',
help='restrict to label',
type=int,
default=-1)
parser.add_argument('--limit',
help='limit number of entities',
type=str,
default='')
parser.add_argument('--id', help='restrict to id', type=int)
subparsers = parser.add_subparsers(dest='command')
# datasets
datasets_parser = subparsers.add_parser('datasets')
# uents
uents_parser = subparsers.add_parser('uents')
uents_parser.add_argument('datasets', help='datasets')
# bents
bents_parser = subparsers.add_parser('bents')
bents_parser.add_argument('datasets', help='datasets')
# compute
compute_parser = subparsers.add_parser('compute')
compute_parser.add_argument('methods', help='method definitions')
compute_parser.add_argument('datasets', help='datasets')
compute_parser.add_argument('--local',
help='do not compute on cluster',
action='store_true')
compute_parser.add_argument('--cores',
help='run on multiple cores',
default=1,
type=int)
# update
update_parser = subparsers.add_parser('update')
update_parser.add_argument('methods', help='method definitions')
update_parser.add_argument('datasets', help='datasets')
update_parser.add_argument('--local',
help='do not compute on cluster',
action='store_true')
update_parser.add_argument('--cores',
help='run on multiple cores',
default=1,
type=int)
# check
check_parser = subparsers.add_parser('check')
check_parser.add_argument('methods', help='method definition')
check_parser.add_argument('datasets', help='datasets')
# clean
clean_parser = subparsers.add_parser('clean')
clean_parser.add_argument('methods', help='method definition')
clean_parser.add_argument('datasets', help='datasets')
#
# integrate_parser = subparsers.add_parser('integrate')
# integrate_parser.add_argument('method', help='method definition')
# integrate_parser.add_argument('--inext', help='input extension', default='')
# integrate_parser.add_argument('--outext', help='output extension', default='')
#
# # integrate
# integrate_parser = subparsers.add_parser('integrate')
# integrate_parser.add_argument('method', help='method definition')
# integrate_parser.add_argument('--inext', help='input extension', default='')
# integrate_parser.add_argument('--outext', help='output extension', default='')
#
# epe
epe_parser = subparsers.add_parser('epe')
epe_parser.add_argument('methods', help='method definition')
epe_parser.add_argument('datasets', help='datasets')
epe_parser.add_argument('--type', help='type of epe', default='all')
epe_parser.add_argument('--make-epe',
help='compute epe',
action='store_true')
epe_parser.add_argument('--make-stat',
help='compute stat',
action='store_true')
epe_parser.add_argument('--refresh',
help='refresh',
action='store_true')
epe_parser.add_argument('--no-output',
help='no output',
action='store_true')
epe_parser.add_argument('--list',
help='list errors',
action='store_true')
epe_parser.add_argument('--plain',
help='plain output',
action='store_true')
# epe-stat
epe_stat_parser = subparsers.add_parser('epe-stat')
epe_stat_parser.add_argument('methods', help='method definition')
epe_stat_parser.add_argument('datasets', help='datasets')
epe_stat_parser.add_argument('--type',
help='type of epe',
default='all')
epe_stat_parser.add_argument('--make-epe',
help='compute epe',
action='store_true')
epe_stat_parser.add_argument('--make-stat',
help='compute stat',
action='store_true')
epe_stat_parser.add_argument('--refresh',
help='refresh',
action='store_true')
# plot
plot_parser = subparsers.add_parser('plot')
plot_parser.add_argument('methods', help='method definition')
plot_parser.add_argument('datasets', help='datasets')
plot_parser.add_argument('colordef',
help='color definition',
default='',
nargs='?')
plot_parser.add_argument('--type', help='type of epe', default='all')
plot_parser.add_argument('--diff',
help='plot difference',
action='store_true')
self._args = parser.parse_args()
OpticalFlow.UnaryEntity.format = self._args.format
OpticalFlow.BinaryEntity.format = self._args.format
tb.verbose = self._args.verbose
self._datasets = []
if 'datasets' in self._args:
self._datasets = OpticalFlow.expandDataset(self._args.datasets,
self._args.label,
self._args.limit)
self._methods = []
if 'methods' in self._args:
self._methods = OpticalFlow.Specification.expand(
self._args.methods)
def __init__(self):
parser = argparse.ArgumentParser()
parser.add_argument("--format", help="id formatting", default="%04d")
parser.add_argument("--verbose", help="verbose", action="store_true")
parser.add_argument("--label", help="restrict to label", type=int, default=-1)
parser.add_argument("--limit", help="limit number of entities", type=str, default="")
parser.add_argument("--id", help="restrict to id", type=int)
subparsers = parser.add_subparsers(dest="command")
# datasets
datasets_parser = subparsers.add_parser("datasets")
# uents
uents_parser = subparsers.add_parser("uents")
uents_parser.add_argument("datasets", help="datasets")
# bents
bents_parser = subparsers.add_parser("bents")
bents_parser.add_argument("datasets", help="datasets")
# compute
compute_parser = subparsers.add_parser("compute")
compute_parser.add_argument("methods", help="method definitions")
compute_parser.add_argument("datasets", help="datasets")
compute_parser.add_argument("--local", help="do not compute on cluster", action="store_true")
compute_parser.add_argument("--cores", help="run on multiple cores", default=1, type=int)
# update
update_parser = subparsers.add_parser("update")
update_parser.add_argument("methods", help="method definitions")
update_parser.add_argument("datasets", help="datasets")
update_parser.add_argument("--local", help="do not compute on cluster", action="store_true")
update_parser.add_argument("--cores", help="run on multiple cores", default=1, type=int)
# check
check_parser = subparsers.add_parser("check")
check_parser.add_argument("methods", help="method definition")
check_parser.add_argument("datasets", help="datasets")
# clean
clean_parser = subparsers.add_parser("clean")
clean_parser.add_argument("methods", help="method definition")
clean_parser.add_argument("datasets", help="datasets")
#
# integrate_parser = subparsers.add_parser('integrate')
# integrate_parser.add_argument('method', help='method definition')
# integrate_parser.add_argument('--inext', help='input extension', default='')
# integrate_parser.add_argument('--outext', help='output extension', default='')
#
# # integrate
# integrate_parser = subparsers.add_parser('integrate')
# integrate_parser.add_argument('method', help='method definition')
# integrate_parser.add_argument('--inext', help='input extension', default='')
# integrate_parser.add_argument('--outext', help='output extension', default='')
#
# epe
epe_parser = subparsers.add_parser("epe")
epe_parser.add_argument("methods", help="method definition")
epe_parser.add_argument("datasets", help="datasets")
epe_parser.add_argument("--type", help="type of epe", default="all")
epe_parser.add_argument("--make-epe", help="compute epe", action="store_true")
epe_parser.add_argument("--make-stat", help="compute stat", action="store_true")
epe_parser.add_argument("--refresh", help="refresh", action="store_true")
epe_parser.add_argument("--no-output", help="no output", action="store_true")
epe_parser.add_argument("--list", help="list errors", action="store_true")
epe_parser.add_argument("--plain", help="plain output", action="store_true")
# epe-stat
epe_stat_parser = subparsers.add_parser("epe-stat")
epe_stat_parser.add_argument("methods", help="method definition")
epe_stat_parser.add_argument("datasets", help="datasets")
epe_stat_parser.add_argument("--type", help="type of epe", default="all")
epe_stat_parser.add_argument("--make-epe", help="compute epe", action="store_true")
epe_stat_parser.add_argument("--make-stat", help="compute stat", action="store_true")
epe_stat_parser.add_argument("--refresh", help="refresh", action="store_true")
# plot
plot_parser = subparsers.add_parser("plot")
plot_parser.add_argument("methods", help="method definition")
plot_parser.add_argument("datasets", help="datasets")
plot_parser.add_argument("colordef", help="color definition", default="", nargs="?")
plot_parser.add_argument("--type", help="type of epe", default="all")
plot_parser.add_argument("--diff", help="plot difference", action="store_true")
self._args = parser.parse_args()
OpticalFlow.UnaryEntity.format = self._args.format
OpticalFlow.BinaryEntity.format = self._args.format
tb.verbose = self._args.verbose
self._datasets = []
if "datasets" in self._args:
self._datasets = OpticalFlow.expandDataset(self._args.datasets, self._args.label, self._args.limit)
self._methods = []
if "methods" in self._args:
self._methods = OpticalFlow.Specification.expand(self._args.methods)