parser = argparse.ArgumentParser()
parser.add_argument('command', choices=['submit', 'status', 'results'])
class optionalFile(argparse.FileType):
def __call__(self, string):
if string == None:
return None
return super(optionalFile, self).__call__(string)
parser.add_argument('-f', '--filename', default=None, type=optionalFile('w'))
args = parser.parse_args()
if args.command == 'submit':
vtpalmetto.submit(vtp, task, [dict(dataset='skycomp1')])
elif args.command == 'status':
vtpalmetto.printStatus(vtp)
elif args.command == 'results':
jobs = vtp.getJobs()
from tabulate import tabulate
for j in jobs:
ret = j.decode(j.retVal)
params = j.decode(j.params)
print 'params: {0}'.format(params)
ret = sorted((dict(threshold=k, **v) for k, v in ret.iteritems()),
key=lambda x: x['threshold'])
print tabulate(ret, headers='keys')
if args.filename != None:
import json
return results
parser = argparse.ArgumentParser()
parser.add_argument('command', choices=['submit', 'status', 'results'])
args = parser.parse_args()
if args.command == 'submit':
#vtpalmetto.submit(vtp,task,[dict(dataset='skycomp1', threshold=t) for t in np.arange(-1,3.0,0.5)])
#vtpalmetto.submit(vtp,task,[dict(dataset='skycomp1', threshold=0, frameDiff=fd) for fd in range(3)])
import itertools
vtpalmetto.submit(vtp,task,[dict(
dataset='skycomp1',
threshold=0,
iteration=i,
frameDiff=fd) for i,fd in itertools.product(range(20),range(3))])
elif args.command == 'status':
vtpalmetto.printStatus(vtp)
elif args.command == 'results':
jobs =vtp.getJobs()
from tabulate import tabulate
avgs = [[],[],[]]
for j in jobs:
if not j.retVal:
continue
ret=j.decode(j.retVal)
params=j.decode(j.params)
if not 'iteration' in params:
if string == None:
return None
return super(optionalFile, self).__call__(string)
parser.add_argument('-f', '--filename', default=None, type=optionalFile('w'))
args = parser.parse_args()
if args.command == 'submit':
netParams = dict(fc1N=108, conv1N=31, conv2N=58, conv1Size=5, conv2Size=7)
vtpalmetto.submit(vtp, task, [
dict(
dataset='skycomp1',
modelLocation=
'/home/dndawso/vtp-results/doTrainDetect/vzrOnuSk+pafKXN3K7M1lg==',
detectorSize=60,
netParams=netParams,
frameDiff=1)
])
elif args.command == 'status':
vtpalmetto.printStatus(vtp)
elif args.command == 'results':
jobs = vtp.getJobs()
from tabulate import tabulate
for j in jobs:
ret = j.decode(j.retVal)
params = j.decode(j.params)
print 'params: {0}'.format(params)
ret = sorted((dict(threshold=k, **v) for k, v in ret.iteritems()),
key=lambda x: x['threshold'])
params = list(
dict(zip(['err', 'fileName'], x)) for x in product([0.1], fnames))
#product(errorList, fnames))
for p in params:
p['weights'] = weights
else:
vtp.name = 'simTrack'
fnames = [fname(s, f) for (s, f) in product(senarios, freq)]
params = list(
dict(zip(['err', 'fileName'], x)) for x in product(errorList, fnames))
for p in params:
p['weights'] = [0]
if args.command == 'submit':
vtpalmetto.submit(vtp, doSim, params)
elif args.command == 'status':
vtpalmetto.printStatus(vtp)
if args.verbose:
jobs = vtp.getJobs()
for j in jobs:
params = j.decode(j.params)
print '{0} {1} {2} {3} {4}'.format(params['fileName'],
params['err'],
params['weights'], j.runHash,
j.getStatus(True))
elif args.command == 'results':
jobs = vtp.getJobs()
if not args.appearance:
tables = {}
m=2.0,
e=True,
_iter=True):
print(line)
vtp.export('frame_output.csv')
vtp.export('output.csv')
return True
parser = argparse.ArgumentParser()
parser.add_argument('command', choices=['submit', 'status', 'results'])
args = parser.parse_args()
if args.command == 'submit':
fnames = [
'/home/dndawso/skycomp1_15f.csv', '/home/dndawso/skycomp1_27f.csv'
]
#'/home/dndawso/skycomp1_100f.csv']
vtpalmetto.submit(vtp, task, [dict(fileName=f) for f in fnames])
elif args.command == 'status':
vtpalmetto.printStatus(vtp)
elif args.command == 'results':
jobs = vtp.getJobs()
for j in jobs:
if not j.retVal:
continue
ret = j.decode(j.retVal)
params = j.decode(j.params)
print params
str(caffeIterations) + '.caffemodel')
vtp.export('negatives.yml')
return results
parser = argparse.ArgumentParser()
parser.add_argument('command', choices=['submit', 'status', 'results'])
args = parser.parse_args()
if args.command == 'submit':
netParams = dict(fc1N=108, conv1N=31, conv2N=58, conv1Size=5, conv2Size=7)
vtpalmetto.submit(vtp, task, [
dict(dataset='skycomp1',
number=n,
detectorSize=60,
netParams=netParams,
frameDiff=1) for n in range(50, 51, 50)
])
elif args.command == 'status':
vtpalmetto.printStatus(vtp)
elif args.command == 'results':
jobs = vtp.getJobs()
for j in jobs:
if not j.retVal:
continue
ret = j.decode(j.retVal)
params = j.decode(j.params)
print params