shell=True)
elif args.reset == "no":
pass
PIPELINE = make_human_rope_pipeline(downsample=5)
elif args.pipeline == "human_towel":
PIPELINE = make_towel_pipeline(downsample=10)
if args.reset == "full":
subprocess.check_call("rm -r *", shell=True)
elif args.reset == "partial":
subprocess.check_call(
"rm -rf kinect labels rope_pts towel_pts rope_init rope_model towel_model once/table_corners.txt once/init_rope.txt logs/*",
shell=True)
elif args.reset == "no":
pass
if args.target is not None: assert args.target in PIPELINE.get_items()
comm.initComm()
TARGET_PIPELINE = PIPELINE.restrict_to_target(
args.target) if args.target is not None else PIPELINE
if args.order == "series":
pipeline.execute_series(TARGET_PIPELINE)
elif args.order == "parallel":
pipeline.execute_parallel(TARGET_PIPELINE,
lifetime=10,
max_lag=5,
noclean=args.noclean)
from comm.vision_pipeline import make_vision_pipeline
from comm import pipeline
from comm import comm
import os
comm.initComm()
os.chdir(comm.DATA_ROOT)
PIPELINE = make_vision_pipeline(downsample=args.downsample, classifier=args.classifier, init_period=args.init_period)
assert args.target in PIPELINE.get_items()
LIFETIME = 9999 if args.no_cleanup else 10
import subprocess
if args.reset == "full":
comm.resetDataDir()
elif args.reset == "partial":
subprocess.check_call(
"rm -rf kinect labels images rope_pts towel_pts rope_init rope_model towel_model once/init_rope.txt", shell=True
)
elif args.reset == "allbutkinect":
subprocess.check_call(
"rm -rf labels images rope_pts towel_pts rope_init rope_model towel_model once/init_rope.txt", shell=True
)
if args.order == "series":
pipeline.execute_series(PIPELINE.restrict_to_target(args.target))
elif args.order == "parallel":
pipeline.execute_parallel(PIPELINE.restrict_to_target(args.target), lifetime=LIFETIME, max_lag=5)
else: exit(0)
elif args.reset == "partial":
subprocess.check_call("rm -rf kinect labels rope_pts rope_init rope_model logs/* once/table_corners.txt",shell=True)
elif args.reset == "no":
pass
PIPELINE = make_human_rope_pipeline(downsample=5)
elif args.pipeline == "human_towel":
PIPELINE = make_towel_pipeline(downsample = 10)
if args.reset == "full":
subprocess.check_call("rm -r *", shell=True)
elif args.reset == "partial":
subprocess.check_call("rm -rf kinect labels rope_pts towel_pts rope_init rope_model towel_model once/table_corners.txt once/init_rope.txt logs/*",shell=True)
elif args.reset == "no":
pass
if args.target is not None: assert args.target in PIPELINE.get_items()
comm.initComm()
TARGET_PIPELINE = PIPELINE.restrict_to_target(args.target) if args.target is not None else PIPELINE
if args.order == "series":
pipeline.execute_series(TARGET_PIPELINE)
elif args.order == "parallel":
pipeline.execute_parallel(TARGET_PIPELINE, lifetime = 10, max_lag = 5, noclean = args.noclean)
from comm import pipeline
from comm import comm
import os
comm.initComm()
os.chdir(comm.DATA_ROOT)
PIPELINE = make_vision_pipeline(downsample=args.downsample,
classifier=args.classifier,
init_period=args.init_period)
assert args.target in PIPELINE.get_items()
LIFETIME = 9999 if args.no_cleanup else 10
import subprocess
if args.reset == "full":
comm.resetDataDir()
elif args.reset == "partial":
subprocess.check_call(
"rm -rf kinect labels images rope_pts towel_pts rope_init rope_model towel_model once/init_rope.txt",
shell=True)
elif args.reset == "allbutkinect":
subprocess.check_call(
"rm -rf labels images rope_pts towel_pts rope_init rope_model towel_model once/init_rope.txt",
shell=True)
if args.order == "series":
pipeline.execute_series(PIPELINE.restrict_to_target(args.target))
elif args.order == "parallel":
pipeline.execute_parallel(PIPELINE.restrict_to_target(args.target),
lifetime=LIFETIME,
max_lag=5)