error: trained model does not exist: /tmp/mozilla_by17061430/sparse-to-dense-master/results/nyudepthv2.input=rgbd.nsample=100.rep=linear.encoder=conv.decoder=upproj.criterion=l1.lr=0.01.bs=16.pretrained=true/model_best.t7

[wuheng199112068]

error: trained model does not exist: /tmp/mozilla_by17061430/sparse-to-dense-master/results/nyudepthv2.input=rgbd.nsample=100.rep=linear.encoder=conv.decoder=upproj.criterion=l1.lr=0.01.bs=16.pretrained=true/model_best.t7
Usage: [options]

Sparse-to-Dense Training script
See https://github.com/fangchangma/sparse-to-dense for details

Train Options:
-dataset Options: nyudepthv2 | kitti [nyudepthv2]
-inputType Options: rgb | rgbd | d | g | gd [rgb]
-nSample average number of depth samples [0]
-criterion Options: l1 | l2 | berhu [l1]
-pretrain use pretrained model [false]
-rep Representation of depth. Options: linear | log | inverse [linear]
-encoderType Options: conv | channeldrop | depthsep [conv]
-decoderType Options: deconv2 | deconv3 | upconv | upproj [upproj]
-manualSeed Manually set RNG seed [0]
-nGPU Number of GPUs to use by default [1]
-backend Options: cudnn | cunn [cudnn]
-cudnn Options: fastest | default | deterministic [fastest]
-gen Path to save generated files [gen]
-precision Options: single | double | half [single]
-nThreads number of data loading threads [2]
-nEpochs Number of total epochs to run [20]
-epochNumber Manual epoch number (useful on restarts) [1]
-batchSize mini-batch size (1 = pure stochastic) [16]
-testOnly Run on validation set only [false]
-tenCrop Ten-crop testing [false]
-resume Path to directory containing checkpoint [none]
-LR initial learning rate [0.01]
-momentum momentum [0.9]
-weightDecay weight decay [0.0001]
-recomputeBatchNorm recompute batch norm statistics [false]
-shortcutType Options: A | B | C []
-optimState Path to an optimState to reload from [none]
-optnet Use optnet to reduce memory usage [true]
-nClasses Number of classes in the dataset [0]

非常感谢你提供的代码，我对lua语言不熟，在运行命令行的时候出了以上的错误，这是为什么？你能够提供一个直接可以运行的实例吗？谢谢，盼复。