when I run train.sh

[PointCloudNiphon]

`I0403 19:05:33.036474 257810 layer_factory.hpp:77] Creating layer data
I0403 19:05:33.036964 257810 net.cpp:100] Creating Layer data
I0403 19:05:33.036980 257810 net.cpp:408] data -> data
I0403 19:05:33.037021 257810 net.cpp:408] data -> label
I0403 19:05:33.041712 257836 db_lmdb.cpp:35] Opened lmdb trainval_lmdb/
I0403 19:05:33.065735 257810 annotated_data_layer.cpp:62] output data size: 24,3,300,300
I0403 19:05:33.109791 257810 net.cpp:150] Setting up data
I0403 19:05:33.109824 257810 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0403 19:05:33.109830 257810 net.cpp:157] Top shape: 1 1 1 8 (8)
I0403 19:05:33.109836 257810 net.cpp:165] Memory required for data: 25920032
I0403 19:05:33.109853 257810 layer_factory.hpp:77] Creating layer data_data_0_split
I0403 19:05:33.109870 257810 net.cpp:100] Creating Layer data_data_0_split
I0403 19:05:33.109879 257810 net.cpp:434] data_data_0_split <- data
I0403 19:05:33.109896 257810 net.cpp:408] data_data_0_split -> data_data_0_split_0
I0403 19:05:33.109911 257810 net.cpp:408] data_data_0_split -> data_data_0_split_1
I0403 19:05:33.109920 257810 net.cpp:408] data_data_0_split -> data_data_0_split_2
I0403 19:05:33.109930 257810 net.cpp:408] data_data_0_split -> data_data_0_split_3
I0403 19:05:33.109938 257810 net.cpp:408] data_data_0_split -> data_data_0_split_4
I0403 19:05:33.109949 257810 net.cpp:408] data_data_0_split -> data_data_0_split_5
I0403 19:05:33.109958 257810 net.cpp:408] data_data_0_split -> data_data_0_split_6
I0403 19:05:33.110057 257810 net.cpp:150] Setting up data_data_0_split
I0403 19:05:33.110064 257810 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0403 19:05:33.110071 257810 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0403 19:05:33.110100 257810 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0403 19:05:33.110106 257810 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0403 19:05:33.110112 257810 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0403 19:05:33.110119 257810 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0403 19:05:33.110126 257810 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0403 19:05:33.110132 257810 net.cpp:165] Memory required for data: 207360032
I0403 19:05:33.110138 257810 layer_factory.hpp:77] Creating layer conv0
I0403 19:05:33.110158 257810 net.cpp:100] Creating Layer conv0
I0403 19:05:33.110163 257810 net.cpp:434] conv0 <- data_data_0_split_0
I0403 19:05:33.110172 257810 net.cpp:408] conv0 -> conv0
terminate called after throwing an instance of 'cv::Exception'
what(): OpenCV(3.4.9) /home/linqunshu/opencv/sourcecode/opencv-3.4.9/modules/imgproc/src/color.simd_helpers.hpp:88: error:(-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<3, 4>; VDcn = cv::impl::{anonymous}::Set<3>; VDepth = cv::impl::{anonymous}::Set<0, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = (cv::impl::::SizePolicy)2u; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'

Invalid number of channels in input image:
'VScn::contains(scn)'
where
'scn' is 1

*** Aborted at 1585911933 (unix time) try "date -d @1585911933" if you are using GNU date ***
PC: @ 0x7f59bfe52428 gsignal
*** SIGABRT (@0x3e00003ef12) received by PID 257810 (TID 0x7f597d513700) from PID 257810; stack trace: ***
@ 0x7f59bfe524b0 (unknown)
@ 0x7f59bfe52428 gsignal
@ 0x7f59bfe5402a abort
@ 0x7f59c048c84d __gnu_cxx::__verbose_terminate_handler()
@ 0x7f59c048a6b6 (unknown)
@ 0x7f59c048a701 std::terminate()
@ 0x7f59c048a919 _cxa_throw
@ 0x7f59b56c9a2a cv::error()
@ 0x7f59b56cba94 cv::error()
@ 0x7f59b55878fa cv::errorNoReturn()
@ 0x7f59b5588493 cv::detail::check_failed_auto<>()
@ 0x7f59b55896f2 cv::detail::check_failed_auto()
@ 0x7f59b3c08833 cv::cvtColorBGR2HSV()
@ 0x7f59b3a74977 cv::cvtColor()
@ 0x7f59c1783e4c caffe::AdjustHue()
@ 0x7f59c178868b caffe::RandomHue()
@ 0x7f59c1789324 caffe::ApplyDistort()
@ 0x7f59c17a7232 caffe::DataTransformer<>::DistortImage()
@ 0x7f59c164d576 caffe::AnnotatedDataLayer<>::load_batch()
@ 0x7f59c16133df caffe::BasePrefetchingDataLayer<>::InternalThreadEntry()
@ 0x7f59c18039d5 caffe::InternalThread::entry()
@ 0x7f59b2a435d5 (unknown)
@ 0x7f599ac4a6ba start_thread
@ 0x7f59bff2441d clone
@ 0x0 (unknown)
train.sh: line 10: 257810 Aborted (core dumped) ../../build/tools/caffe train -solver="solver_train.prototxt"-weights="mobilenet_iter_73000.caffemodel" -gpu 0`

[PointCloudNiphon]

what happened?

[PointCloudNiphon]

@chuanqi305 please help me, it confuse me for almost all the day, I can't find any useful solution in google,,

[imistyrain]

训练图中含有通道数为1的灰度图，检查下原图吧

[PointCloudNiphon]

谢谢你，我的数据集中是从coco里面提取的，里面会有灰度图吗？

[PointCloudNiphon]

训练图中含有通道数为1的灰度图，检查下原图吧
我的数据集中是从coco里面提取的，里面应该不会有灰度图吧