def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Convert an old VGG16 snapshot to new format')
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file',
default=None, type=str)
parser.add_argument('--snapshot', dest='snapshot',
help='vgg snapshot prefix',
type=str)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to train on',
default='voc_2007_trainval', type=str)
parser.add_argument('--iters', dest='max_iters',
help='number of iterations to train',
default=70000, type=int)
parser.add_argument('--tag', dest='tag',
help='tag of the model',
default=None, type=str)
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
python类REMAINDER的实例源码
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file',
default=None, type=str)
parser.add_argument('--weight', dest='weight',
help='initialize with pretrained model weights',
type=str)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to train on',
default='voc_2007_trainval', type=str)
parser.add_argument('--imdbval', dest='imdbval_name',
help='dataset to validate on',
default='voc_2007_test', type=str)
parser.add_argument('--iters', dest='max_iters',
help='number of iterations to train',
default=70000, type=int)
parser.add_argument('--tag', dest='tag',
help='tag of the model',
default=None, type=str)
parser.add_argument('--net', dest='net',
help='vgg16, res50, res101, res152, mobile',
default='res50', type=str)
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
def doJenkins(argv, bobRoot):
subHelp = "\n ... ".join(sorted(
[ "{} {}".format(c, d[1]) for (c, d) in availableJenkinsCmds.items() ]))
parser = argparse.ArgumentParser(prog="bob jenkins",
formatter_class=argparse.RawDescriptionHelpFormatter,
description="""Configure jenkins. The following subcommands are available:
bob jenkins {}
""".format(subHelp))
parser.add_argument('subcommand', help="Subcommand")
parser.add_argument('args', nargs=argparse.REMAINDER,
help="Arguments for subcommand")
parser.add_argument('-c', dest="configFile", default=[], action='append', metavar="NAME",
help="Use additional config File.")
args = parser.parse_args(argv)
recipes = RecipeSet()
recipes.defineHook('jenkinsNameFormatter', jenkinsNameFormatter)
recipes.setConfigFiles(args.configFile)
recipes.parse()
if args.subcommand in availableJenkinsCmds:
BobState().setAsynchronous()
try:
availableJenkinsCmds[args.subcommand][0](recipes, args.args)
except http.client.HTTPException as e:
raise BuildError("HTTP error: " + str(e))
except OSError as e:
raise BuildError("OS error: " + str(e))
finally:
BobState().setSynchronous()
else:
parser.error("Unknown subcommand '{}'".format(args.subcommand))
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Test a DPL network')
parser.add_argument('--gpu', dest='gpu_id', help='GPU id to use',
default=0, type=int)
parser.add_argument('--def', dest='prototxt',
help='prototxt file defining the network',
default=None, type=str)
parser.add_argument('--net', dest='caffemodel',
help='model to test',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file', default=None, type=str)
parser.add_argument('--wait', dest='wait',
help='wait until net file exists',
default=True, type=bool)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to test',
default='voc_2007_test', type=str)
parser.add_argument('--comp', dest='comp_mode', help='competition mode',
action='store_true')
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
parser.add_argument('--task', dest='task',
default=None, type=str)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Train a DPL network')
parser.add_argument('--gpu', dest='gpu_id',
help='GPU device id to use [0]',
default=0, type=int)
parser.add_argument('--solver', dest='solver',
help='solver prototxt',
default=None, type=str)
parser.add_argument('--iters', dest='max_iters',
help='number of iterations to train',
default=80000, type=int)
parser.add_argument('--weights', dest='pretrained_model',
help='initialize with pretrained model weights',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file',
default=None, type=str)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to train on',
default='voc_2007_trainval', type=str)
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Test a Fast R-CNN network')
parser.add_argument('--gpu', dest='gpu_id', help='GPU id to use',
default=0, type=int)
parser.add_argument('--def', dest='prototxt',
help='prototxt file defining the network',
default=None, type=str)
parser.add_argument('--net', dest='caffemodel',
help='model to test',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file', default=None, type=str)
parser.add_argument('--wait', dest='wait',
help='wait until net file exists',
default=True, type=bool)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to test',
default='voc_2007_test', type=str)
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Test a Fast R-CNN network')
parser.add_argument('--gpu', dest='gpu_id', help='GPU id to use',
default=0, type=int)
parser.add_argument('--def', dest='prototxt',
help='prototxt file defining the network',
default=None, type=str)
parser.add_argument('--net', dest='caffemodel',
help='model to test',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file', default=None, type=str)
parser.add_argument('--wait', dest='wait',
help='wait until net file exists',
default=True, type=bool)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to test',
default='voc_2007_test', type=str)
parser.add_argument('--comp', dest='comp_mode', help='competition mode',
action='store_true')
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
parser.add_argument('--vis', dest='vis', help='visualize detections',
action='store_true')
parser.add_argument('--num_dets', dest='max_per_image',
help='max number of detections per image',
default=100, type=int)
parser.add_argument('--det_thresh', dest='det_thresh',
help='detection score threshold',
default=0.05, type=float)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Train a Faster R-CNN network')
parser.add_argument('--gpu', dest='gpu_id',
help='GPU device id to use [0]',
default=0, type=int)
parser.add_argument('--net_name', dest='net_name',
help='network name (e.g., "ZF")',
default=None, type=str)
parser.add_argument('--weights', dest='pretrained_model',
help='initialize with pretrained model weights',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file',
default=None, type=str)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to train on',
default='voc_2007_trainval', type=str)
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
parser.add_argument('--gpu', dest='gpu_id',
help='GPU device id to use [0]',
default=0, type=int)
parser.add_argument('--solver', dest='solver',
help='solver prototxt',
default=None, type=str)
parser.add_argument('--iters', dest='max_iters',
help='number of iterations to train',
default=40000, type=int)
parser.add_argument('--weights', dest='pretrained_model',
help='initialize with pretrained model weights',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file',
default=None, type=str)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to train on',
default='voc_2007_trainval', type=str)
parser.add_argument('--rand', dest='randomize',
help='randomize (do not use a fixed seed)',
action='store_true')
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Test a Fast R-CNN network')
parser.add_argument('--gpu', dest='gpu_id', help='GPU id to use',
default=0, type=int)
parser.add_argument('--def', dest='prototxt',
help='prototxt file defining the network',
default=None, type=str)
parser.add_argument('--net', dest='caffemodel',
help='model to test',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file', default=None, type=str)
parser.add_argument('--wait', dest='wait',
help='wait until net file exists',
default=True, type=bool)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to test',
default='voc_2007_test', type=str)
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Test a Fast R-CNN network')
parser.add_argument('--gpu', dest='gpu_id', help='GPU id to use',
default=0, type=int)
parser.add_argument('--def', dest='prototxt',
help='prototxt file defining the network',
default=None, type=str)
parser.add_argument('--net', dest='caffemodel',
help='model to test',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file', default=None, type=str)
parser.add_argument('--wait', dest='wait',
help='wait until net file exists',
default=True, type=bool)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to test',
default='voc_2007_test', type=str)
parser.add_argument('--comp', dest='comp_mode', help='competition mode',
action='store_true')
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
parser.add_argument('--vis', dest='vis', help='visualize detections',
action='store_true')
parser.add_argument('--num_dets', dest='max_per_image',
help='max number of detections per image',
default=100, type=int)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
train_faster_rcnn_alt_opt.py 文件源码
项目：faster-rcnn-resnet
作者: Eniac-Xie
项目源码
文件源码
阅读 27
收藏 0
点赞 0
评论 0
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Train a Faster R-CNN network')
parser.add_argument('--gpu', dest='gpu_id',
help='GPU device id to use [0]',
default=0, type=int)
parser.add_argument('--net_name', dest='net_name',
help='network name (e.g., "ZF")',
default=None, type=str)
parser.add_argument('--weights', dest='pretrained_model',
help='initialize with pretrained model weights',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file',
default=None, type=str)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to train on',
default='voc_2007_trainval', type=str)
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
parser.add_argument('--gpu', dest='gpu_id',
help='GPU device id to use [0]',
default=0, type=int)
parser.add_argument('--solver', dest='solver',
help='solver prototxt',
default=None, type=str)
parser.add_argument('--iters', dest='max_iters',
help='number of iterations to train',
default=40000, type=int)
parser.add_argument('--weights', dest='pretrained_model',
help='initialize with pretrained model weights',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file',
default=None, type=str)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to train on',
default='voc_2007_trainval', type=str)
parser.add_argument('--rand', dest='randomize',
help='randomize (do not use a fixed seed)',
action='store_true')
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
def get_argparser(ArgumentParser=argparse.ArgumentParser):
parser = ArgumentParser(
description='Powerline BAR bindings.'
)
parser.add_argument(
'--i3', action='store_true',
help='Subscribe for i3 events.'
)
parser.add_argument(
'--height', default='',
metavar='PIXELS', help='Bar height.'
)
parser.add_argument(
'--interval', '-i',
type=float, default=0.5,
metavar='SECONDS', help='Refresh interval.'
)
parser.add_argument(
'--bar-command', '-C',
default='lemonbar',
metavar='CMD', help='Name of the lemonbar executable to use.'
)
parser.add_argument(
'args', nargs=argparse.REMAINDER,
help='Extra arguments for lemonbar. Should be preceded with ``--`` '
'argument in order not to be confused with script own arguments.'
)
return parser
def default(self, line):
tab=line.split(" ",1)
if tab[0] in self.aliases:
arg_parser = PupyArgumentParser(prog=tab[0], add_help=False)
arg_parser.add_argument('-f', '--filter', metavar='<client filter>', help="filter to a subset of all clients. All fields available in the \"info\" module can be used. example: run get_info -f 'platform:win release:7 os_arch:64'")
arg_parser.add_argument('--bg', action='store_true', help="run in background")
arg_parser.add_argument('arguments', nargs=argparse.REMAINDER, metavar='<arguments>', help="module arguments")
if len(tab)==1:
self.do_run(self.aliases[tab[0]])
else:
left=[]
try:
modargs,left=arg_parser.parse_known_args(shlex.split(tab[1]))
except PupyModuleExit:
return
#putting run arguments (-f and --bg) back at their place in case of aliases
newargs_str=""
if modargs.bg:
newargs_str+=" --bg"
if modargs.filter:
newargs_str+=" -f '"+modargs.filter.replace("'","'\\''")+"'"
newargs_str+=" "+self.aliases[tab[0]]
if left:
newargs_str+=" "+' '.join(left)
if modargs.arguments:
newargs_str+=" '"+(' '.join(modargs.arguments)).replace("'","'\\''")+"'"
self.do_run(newargs_str.strip())
else:
self.display_error("Unknown syntax: %s"%line)
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Test a Fast R-CNN network')
parser.add_argument('--gpu', dest='gpu_id', help='GPU id to use',
default=0, type=int)
parser.add_argument('--def', dest='prototxt',
help='prototxt file defining the network',
default=None, type=str)
parser.add_argument('--net', dest='caffemodel',
help='model to test',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file', default=None, type=str)
parser.add_argument('--wait', dest='wait',
help='wait until net file exists',
default=True, type=bool)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to test',
default='voc_2007_test', type=str)
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Test a Fast R-CNN network')
parser.add_argument('--gpu', dest='gpu_id', help='GPU id to use',
default=0, type=int)
parser.add_argument('--def', dest='prototxt',
help='prototxt file defining the network',
default=None, type=str)
parser.add_argument('--net', dest='caffemodel',
help='model to test',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file', default=None, type=str)
parser.add_argument('--wait', dest='wait',
help='wait until net file exists',
default=True, type=bool)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to test',
default='voc_2007_test', type=str)
parser.add_argument('--comp', dest='comp_mode', help='competition mode',
action='store_true')
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
train_faster_rcnn_alt_opt.py 文件源码
项目：py-faster-rcnn-tk1
作者: joeking11829
项目源码
文件源码
阅读 16
收藏 0
点赞 0
评论 0
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Train a Faster R-CNN network')
parser.add_argument('--gpu', dest='gpu_id',
help='GPU device id to use [0]',
default=0, type=int)
parser.add_argument('--net_name', dest='net_name',
help='network name (e.g., "ZF")',
default=None, type=str)
parser.add_argument('--weights', dest='pretrained_model',
help='initialize with pretrained model weights',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file',
default=None, type=str)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to train on',
default='voc_2007_trainval', type=str)
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
parser.add_argument('--gpu', dest='gpu_id',
help='GPU device id to use [0]',
default=0, type=int)
parser.add_argument('--solver', dest='solver',
help='solver prototxt',
default=None, type=str)
parser.add_argument('--iters', dest='max_iters',
help='number of iterations to train',
default=40000, type=int)
parser.add_argument('--weights', dest='pretrained_model',
help='initialize with pretrained model weights',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file',
default=None, type=str)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to train on',
default='voc_2007_trainval', type=str)
parser.add_argument('--rand', dest='randomize',
help='randomize (do not use a fixed seed)',
action='store_true')
parser.add_argument('--set', dest='set_cfgs',
help='set config keys', default=None,
nargs=argparse.REMAINDER)
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
args = parser.parse_args()
return args
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--mode',
choices=['clang', 'cl'],
required=True,
help='Specifies the compiler argument convention to use.')
parser.add_argument('args', nargs=argparse.REMAINDER)
parsed_args = parser.parse_args()
prefix = '-Xclang' if parsed_args.mode == 'cl' else '-Xanalyzer'
cmd = parsed_args.args + analyzer_enable_flags + \
interleave_args(analyzer_option_flags, prefix)
returncode, stderr = wrapper_utils.CaptureCommandStderr(
wrapper_utils.CommandToRun(cmd))
sys.stderr.write(stderr)
if returncode != 0:
sys.stderr.write(
"""WARNING! The Clang static analyzer exited with error code %d.
Please share the error details in crbug.com/695243 if this looks like
a new regression.\n""" % (returncode))
returncode, stderr = wrapper_utils.CaptureCommandStderr(
wrapper_utils.CommandToRun(parsed_args.args))
sys.stderr.write(stderr)
return returncode
