Python kittiVidPvObj Examples

Example #1

File: train_pv_kitti_vid_mlp_boot.py Project: slundqui/DeepGAP

trainf = open(trainRangeFn, 'r')
trainLines = trainf.readlines()
trainf.close()
trainRange = [int(l) for l in trainLines]

testf = open(testRangeFn, 'r')
testLines = testf.readlines()
testf.close()
testRange = [int(l) for l in testLines]

#Get object from which tensorflow will pull data from
trainDataObj = kittiVidPvObj(trainInputs,
                             trainGts,
                             trainFilenames,
                             dncFilenames,
                             None,
                             shuffle=True,
                             rangeIdx=trainRange,
                             binClass=[1, 2, 3])
testDataObj = kittiVidPvObj(trainInputs,
                            trainGts,
                            trainFilenames,
                            dncFilenames,
                            None,
                            shuffle=True,
                            rangeIdx=testRange,
                            binClass=[1, 2, 3])

#stage1_params = {
#    #Base output directory
#    'outDir':          "/home/slundquist/mountData/DeepGAP/",

Example #2

File: train_sup_kitti_vid_mlp_boot.py Project: slundqui/DeepGAP

trainRangeFn = "/home/slundquist/mountData/kitti_pv/kitti_objdet_train_list_4000.txt"
testRangeFn = "/home/slundquist/mountData/kitti_pv/kitti_objdet_test_list.txt"

trainf = open(trainRangeFn, 'r')
trainLines = trainf.readlines()
trainf.close()
trainRange = [int(l) for l in trainLines]

testf = open(testRangeFn, 'r')
testLines = testf.readlines()
testf.close()
testRange = [int(l) for l in testLines]

#Get object from which tensorflow will pull data from
trainDataObj = kittiVidPvObj(trainInputs, trainGts, trainFilenames, dncFilenames, None, shuffle=True, rangeIdx=trainRange, binClass=[1, 2, 3])
testDataObj = kittiVidPvObj(trainInputs, trainGts, trainFilenames, dncFilenames, None, shuffle=True, rangeIdx=testRange, binClass=[1, 2, 3])
evalDataObj = kittiVidPvObj(trainInputs, trainGts, trainFilenames, dncFilenames, None, shuffle=False, rangeIdx=testRange, binClass=[1, 2, 3])

numTotalSteps = [
        102,
        102,
        102,
        ]

loadStrSuffix = [
        None,
        "10100",
        "10100",
        ]

Example #3

File: train_sup_kitti_vid_mlp.py Project: slundqui/DeepGAP

trainRangeFn = "/home/slundquist/mountData/kitti_pv/kitti_objdet_train_list.txt"
testRangeFn = "/home/slundquist/mountData/kitti_pv/kitti_objdet_test_list.txt"

trainf = open(trainRangeFn, 'r')
trainLines = trainf.readlines()
trainf.close()
trainRange = [int(l) for l in trainLines]

testf = open(testRangeFn, 'r')
testLines = testf.readlines()
testf.close()
testRange = [int(l) for l in testLines]

#Get object from which tensorflow will pull data from
trainDataObj = kittiVidPvObj(trainInputs, trainGts, trainFilenames, dncFilenames, None, shuffle=True, rangeIdx=trainRange)
testDataObj = kittiVidPvObj(trainInputs, trainGts, trainFilenames, dncFilenames, None, shuffle=True, rangeIdx=testRange)

params = {
    #Base output directory
    'outDir':          "/home/slundquist/mountData/DeepGAP/",
    #Inner run directory
    'runDir':          "/sup_kitti_vid_4x8_mlp_fromslp_noreg/",
    'tfDir':           "/tfout",
    #Save parameters
    'ckptDir':         "/checkpoints/",
    'saveFile':        "/save-model",
    'savePeriod':      100, #In terms of displayPeriod
    #output plots directory
    'plotDir':         "plots/",
    'plotPeriod':      100, #With respect to displayPeriod

Example #4

testf = open(testRangeFn, 'r')
testLines = testf.readlines()
testf.close()
testRange = [int(l) for l in testLines]

#Only do subset of testRange for computational speed
testRange = testRange[:160]

trainseed = None
testseed = None

#Get object from which tensorflow will pull data from
trainDataObj = kittiVidPvObj(trainInputs,
                             gts,
                             imageFns,
                             dncFilenames,
                             None,
                             shuffle=True,
                             rangeIdx=trainRange,
                             seed=trainseed)
testDataObj = kittiVidPvObj(trainInputs,
                            gts,
                            imageFns,
                            dncFilenames,
                            None,
                            shuffle=False,
                            rangeIdx=testRange,
                            seed=testseed)

params = {
    #Base output directory
    'outDir':

Example #5

File: train_sup_vgg_kitti_frcnn.py Project: slundqui/DeepGAP

trainf.close()
trainRange = [int(l) for l in trainLines]

testf = open(testRangeFn, 'r')
testLines = testf.readlines()
testf.close()
testRange = [int(l) for l in testLines]

#Only do subset of testRange for computational speed
testRange = testRange[:160]

trainseed=None
testseed=None

#Get object from which tensorflow will pull data from
trainDataObj = kittiVidPvObj(trainInputs, gts, imageFns, dncFilenames, None, shuffle=True, rangeIdx=trainRange, seed=trainseed)
testDataObj = kittiVidPvObj(trainInputs, gts, imageFns, dncFilenames, None, shuffle=False, rangeIdx=testRange, seed=testseed)

params = {
    #Base output directory
    'outDir':          "/home/slundquist/mountData/DeepGAP/",
    #Inner run directory
    'runDir':          "/sup_kitti_vgg_frcnn_test/",
    'tfDir':           "/tfout",
    #Save parameters
    'ckptDir':         "/checkpoints/",
    'saveFile':        "/save-model",
    'savePeriod':      10, #In terms of displayPeriod
    #output plots directory
    'plotDir':         "plots/",
    'plotPeriod':      10, #With respect to displayPeriod

Example #6

File: eval_pv_kitti_vid_mlp_boot.py Project: slundqui/DeepGAP

trainf = open(trainRangeFn, 'r')
trainLines = trainf.readlines()
trainf.close()
trainRange = [int(l) for l in trainLines]

testf = open(testRangeFn, 'r')
testLines = testf.readlines()
testf.close()
testRange = [int(l) for l in testLines]

#Get object from which tensorflow will pull data from
trainDataObj = kittiVidPvObj(trainInputs,
                             trainGts,
                             trainFilenames,
                             dncFilenames,
                             None,
                             shuffle=False,
                             rangeIdx=trainRange)
testDataObj = kittiVidPvObj(trainInputs,
                            trainGts,
                            trainFilenames,
                            dncFilenames,
                            None,
                            shuffle=False,
                            rangeIdx=testRange)

stage1_params = {
    #Base output directory
    'outDir': "/home/slundquist/mountData/DeepGAP/",
    #Inner run directory