我应该在语义分割中缩放地面真实图像吗?

时间:2017-05-06 05:11:57

标签: deep-learning caffe pycaffe matcaffe

我正在应用CNN进行语义分割。我希望有人可以推荐。我现在正在做的是我缩放了地面真相图像。我有5个课程,我根据this将其缩放到Data Layer中的(0-1):

transform_param {
    scale: 0.00390625
  }

我想知道我错了还是对的?这个缩放值是否正确?

每当我不添加` 它显示以下错误:

[...]
I0510 23:21:28.086776  9072 solver.cpp:397]     Test net output #0: accuracy = 0
I0510 23:21:28.086812  9072 solver.cpp:397]     Test net output #1: loss = 1.9416 (* 1 = 1.9416 loss)
F0510 23:21:28.150539  9072 math_functions.cu:141] Check failed: status == CUBLAS_STATUS_SUCCESS (11 vs. 0)  CUBLAS_STATUS_MAPPING_ERROR
*** Check failure stack trace: ***
@     0x7fb9d4e7f5cd  google::LogMessage::Fail()
@     0x7fb9d4e81433  google::LogMessage::SendToLog()
@     0x7fb9d4e7f15b  google::LogMessage::Flush()
@     0x7fb9d4e81e1e  google::LogMessageFatal::~LogMessageFatal()
@     0x7fb9d56665ea  caffe::caffe_gpu_asum<>()
@     0x7fb9d5633a38  caffe::SoftmaxWithLossLayer<>::Forward_gpu()
@     0x7fb9d54bde41  caffe::Net<>::ForwardFromTo()
@     0x7fb9d54bdf47  caffe::Net<>::Forward()
@     0x7fb9d54e8d28  caffe::Solver<>::Step()
@     0x7fb9d54e98ca  caffe::Solver<>::Solve()
@           0x40acd4  train()
@           0x407418  main
@     0x7fb9d360f830  __libc_start_main
@           0x407ce9  _start
@              (nil)  (unknown)

0 个答案:

没有答案