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/",
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", ]
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
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':
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
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