def smallnetv2_pool4_pose_crp192_rawImSz256(isRun=False,
isGray=False,
numTrain=1e+7,
deviceId=[0],
isPythonLayer=False,
runNum=0):
prms = sp.get_prms_pose(geoFence='dc-v2',
crpSz=192,
rawImSz=256,
splitDist=100,
numTrain=numTrain)
nPrms = se.get_nw_prms(imSz=101,
netName='smallnet-v2',
concatLayer='pool4',
lossWeight=10.0,
randCrop=False,
concatDrop=False,
isGray=isGray,
isPythonLayer=isPythonLayer)
lPrms = se.get_lr_prms(batchsize=256, stepsize=10000, clip_gradients=1.0)
cPrms = se.get_caffe_prms(nPrms, lPrms, deviceId=deviceId, runNum=runNum)
if isRun:
exp = se.make_experiment(prms, cPrms)
exp.run()
else:
return prms, cPrms
def smallnetv5_pose_crp192_fc5_rawImSz256(isRun=False,
isGray=False,
numTrain=1e+7,
deviceId=[0],
isPythonLayer=True,
runNum=0,
extraFc=None,
numFc5=None,
lrAbove=None):
prms = sp.get_prms_pose(geoFence='dc-v2',
crpSz=192,
rawImSz=256,
splitDist=100,
numTrain=numTrain)
nPrms = se.get_nw_prms(imSz=101,
netName='smallnet-v5',
concatLayer='fc5',
lossWeight=10.0,
randCrop=False,
concatDrop=False,
isGray=isGray,
isPythonLayer=isPythonLayer,
numFc5=numFc5,
extraFc=extraFc,
lrAbove=lrAbove)
lPrms = se.get_lr_prms(batchsize=256, stepsize=10000, clip_gradients=1.0)
cPrms = se.get_caffe_prms(nPrms, lPrms, deviceId=deviceId, runNum=runNum)
if isRun:
exp = se.make_experiment(prms, cPrms)
exp.run()
return prms, cPrms
def smallnet_pool4_pose(isRun=False): prms = sp.get_prms_pose(geoFence='dc-v1') nPrms = se.get_nw_prms(imSz=101, netName='smallnet', concatLayer='pool4') lPrms = se.get_lr_prms(batchsize=256) cPrms = se.get_caffe_prms(nPrms, lPrms, deviceId=[0,1]) if isRun: exp = se.make_experiment(prms, cPrms) exp.run() else: return prms, cPrms
def smallnetv3_pool4_pose_crp192(isRun=False): prms = sp.get_prms_pose(geoFence='dc-v1', crpSz=192) nPrms = se.get_nw_prms(imSz=101, netName='smallnet-v3', concatLayer='pool4', lossWeight=10.0) lPrms = se.get_lr_prms(batchsize=256, stepsize=10000, clip_gradients=10.0) cPrms = se.get_caffe_prms(nPrms, lPrms, deviceId=[0]) if isRun: exp = se.make_experiment(prms, cPrms) exp.run() else: return prms, cPrms
def smallnetv2_pool4_pose_randcrp(isRun=False): prms = sp.get_prms_pose(geoFence='dc-v1') nPrms = se.get_nw_prms(imSz=101, netName='smallnet-v2', concatLayer='pool4', randCrop=True) lPrms = se.get_lr_prms(batchsize=256, stepsize=5000) cPrms = se.get_caffe_prms(nPrms, lPrms, deviceId=[0,1,2,3]) if isRun: exp = se.make_experiment(prms, cPrms) exp.run() else: return prms, cPrms
def smallnetv2_pool4_pose_crp192_rawImSz256_newsplits(isRun=False, isGray=False): prms = sp.get_prms_pose(geoFence='dc-v1', crpSz=192, rawImSz=256, splitDist=100) nPrms = se.get_nw_prms(imSz=101, netName='smallnet-v2', concatLayer='pool4', lossWeight=10.0, randCrop=False, concatDrop=False, isGray=isGray) lPrms = se.get_lr_prms(batchsize=256, stepsize=10000, clip_gradients=10.0) cPrms = se.get_caffe_prms(nPrms, lPrms, deviceId=[1]) if isRun: exp = se.make_experiment(prms, cPrms) exp.run() else: return prms, cPrms
