def test_piv_new_multiproc(self):
params = TopologyPIV.create_default_params()
params.series.path = str(self.path_Jet)
params.series.ind_start = 60
params.series.ind_step = 1
params.series.strcouple = "i, 0:2"
params.piv0.shape_crop_im0 = 128
params.multipass.number = 2
params.multipass.use_tps = True
params.saving.how = "recompute"
params.saving.postfix = self.postfix
topology = TopologyPIV(params, logging_level="info")
topology.compute()
topology = TopologyPIV(params, logging_level="info")
topology.compute(nb_max_workers=2)
# remove one file to test params.saving.how = "complete"
path_files = list(Path(topology.path_dir_result).glob("piv*"))
if not path_files:
sleep(0.2)
path_files = list(Path(topology.path_dir_result).glob("piv*"))
path_files[0].unlink()
params.saving.how = "complete"
topology = TopologyPIV(params, logging_level="debug")
topology.compute("exec_sequential")
assert len(topology.results) == 1
def main(args):
params = params_piv.make_params_piv(args.exp,
savinghow=args.saving_how,
postfix_in=args.postfix_in,
postfix_out=args.postfix_out)
topology = TopologyPIV(params, nb_max_workers=int(args.nb_cores))
topology.compute(sequential=args.seq)
def piv_from_png(save_path, image_folder):
correl_val = 0.3
overlap_val = 0.5
window_size_val = 128
path_src = save_path + image_folder
save_path = (
save_path +
f"piv_correl{correl_val}_overlap{overlap_val}_window_size{window_size_val}"
)
if os.path.isdir(save_path) is False:
os.mkdir(save_path)
os.chmod(save_path, 0o774)
postfix = datetime.datetime.now().isoformat()
params = TopologyPIV.create_default_params()
params.series.path = path_src
params.series.ind_start = 1
params.series.ind_step = 1
params.series.strcouple = "i:i+2"
params.piv0.shape_crop_im0 = window_size_val
params.piv0.grid.overlap = overlap_val
params.multipass.number = int(log(window_size_val, 2) -
4) # last window is 32x32
params.multipass.use_tps = "True"
params.fix.correl_min = correl_val
params.saving.how = "recompute"
params.saving.path = save_path
params.saving.postfix = postfix
topology = TopologyPIV(params)
topology.compute(sequential=False)
paths = Path(save_path).glob("*.h5")
for path in paths:
os.chmod(path, 0o774)
def test_piv_new(self):
params = TopologyPIV.create_default_params()
params.series.path = str(self.path_Oseen)
params.series.ind_start = 1
params.series.ind_step = 1
params.piv0.shape_crop_im0 = 32
params.multipass.number = 2
params.multipass.use_tps = True
# params.saving.how has to be equal to 'complete' for idempotent jobs
# (on clusters)
params.saving.how = "recompute"
params.saving.postfix = self.postfix
topology = TopologyPIV(params, logging_level="info")
topology.make_code_graphviz(topology.path_dir_result / "topo.dot")
topology.compute()
instructions = ParamContainer(path_file=xml_file)
instructions.Action.ActionName
tidy_uvmat_instructions(instructions)
params = params_from_uvmat_xml(instructions)
params.series.ind_start = 0
params.saving.path = os.path.split(os.path.dirname(xml_file))[0].replace(
'.civ', '.piv')
try:
nb_cores = int(sys.argv[-1])
except ValueError:
nb_cores = None
else:
params.saving.path += '_{}cores'.format(nb_cores)
params.saving.how = 'recompute'
# params.multipass.subdom_size = 100
print('params.multipass.subdom_size = ', params.multipass.subdom_size)
params.multipass.use_tps = True
topology = TopologyPIV(params, logging_level='info', nb_max_workers=None)
topology.compute()
from fluidimage.topologies.piv import TopologyPIV
import os
params = TopologyPIV.create_default_params()
params.series.path = '../../image_samples/Karman/Images'
params.series.ind_start = 1
params.piv0.shape_crop_im0 = 32
params.multipass.number = 2
params.multipass.use_tps = True
# params.saving.how has to be equal to 'complete' for idempotent jobs
# (on clusters)
params.saving.how = 'complete'
params.saving.postfix = 'piv_complete'
topology = TopologyPIV(params, logging_level='info')
#topology.make_code_graphviz('topo.dot')
topology.compute()
from fluidimage.topologies.piv import TopologyPIV
from fluidimage.run_from_xml import params_from_uvmat_xml, ParamContainer
base = '/fsnet/project/meige/2016/16FLUIDIMAGE/samples/Bicouche'
host = socket.gethostname()
instructions = ParamContainer(
path_file=base + '/Dalsa1.civ_bench_cluster_xml/0_XML/img_1-161.xml')
params = params_from_uvmat_xml(instructions)
params.saving.path = base + '/Dalsa1.piv_bench_' + host
try:
nb_cores = int(sys.argv[-1])
except ValueError:
nb_cores = None
else:
params.saving.path += '_{}cores'.format(nb_cores)
params.saving.how = 'complete'
params.multipass.subdom_size = 500
topology = TopologyPIV(params)
# topology.compute()
def __init__(self, instructions, args):
self.instructions = instructions
self.params = params_piv_from_uvmat_xml(instructions, args)
logger.info("Initialize fluidimage computations with parameters:")
logger.info(self.params._make_xml_text())
self.topology = TopologyPIV(self.params)