2 tests from HardSpatialTransformerLayerTest/1, where TypeParam = caffe::CPUDevice<double>时发生错误

[siyilingting]

您好，学长： 非常感谢您分享的程序。在Installation步骤中，我按照您所写执行，每当执行make runtest -j8时，总会报这样一个错误： [----------] 2 tests from HardSpatialTransformerLayerTest/1, where TypeParam = caffe::CPUDevice

[ RUN ] HardSpatialTransformerLayerTest/1.TestGradient

	Spatial Transformer Layer:: LayerSetUp: 	Getting output_H_ and output_W_

	Spatial Transformer Layer:: LayerSetUp: 	output_H_ = 7, output_W_ = 7

	Spatial Transformer Layer:: LayerSetUp: 	Getting pre-defined parameters

	Spatial Transformer Layer:: LayerSetUp: 	Initializing the matrix for output grid

	Spatial Transformer Layer:: LayerSetUp: 	Initializing the matrix for input grid

	Spatial Transformer Layer:: LayerSetUp: 	Initialization finished.

F1217 14:07:56.563449 21562 st_layer.cpp:263] Check failed: false Don't use the CPU implementation! If you really want to, delete the CHECK in st_layer.cpp file. Line number: 242-243. De_transform is not supported.

*** Check failure stack trace: ***

@     0x7f7d5fb6de6d  (unknown)

@     0x7f7d5fb6fced  (unknown)

@     0x7f7d5fb6da5c  (unknown)

@     0x7f7d5fb7063e  (unknown)

@     0x7f7d5b6e1119  caffe::SpatialTransformerLayer<>::Forward_cpu()

@           0x48402a  caffe::Layer<>::Forward()

@           0x4cfe3b  caffe::GradientChecker<>::CheckGradientSingle()

@           0x4d0a7b  caffe::GradientChecker<>::CheckGradientExhaustive()

@           0x95f672  caffe::HardSpatialTransformerLayerTest_TestGradient_Test<>::TestBody()

@           0x9b2ce3  testing::internal::HandleExceptionsInMethodIfSupported<>()

@           0x9aaae7  testing::Test::Run()

@           0x9aab8e  testing::TestInfo::Run()

@           0x9aac95  testing::TestCase::Run()

@           0x9acf28  testing::internal::UnitTestImpl::RunAllTests()

@           0x9ad1b7  testing::UnitTest::Run()

@           0x475aaf  main

@     0x7f7d5a884b15  __libc_start_main

@           0x47e909  (unknown)

make: *** [runtest] Aborted (core dumped)

我在Makefile.config中仅修改了BLAS := mkl 和 WITH_PYTHON_LAYER := 1。 另外在make runtest开始时会出现找不到fish-bike.jpg的错误信息，我只能从我们服务器的caffe/examples/images中复制这张图片到RMPE/examples/images中。 是不是我某些地方做的不太对？希望您能给予帮助。非常感谢！！

siyilingting

[Fang-Haoshu]

Hi @siyilingting

Yes, as the info said: "Check failed: false Don't use the CPU implementation! If you really want to, delete the CHECK in st_layer.cpp file. Line number: 242-243. De_transform is not supported."

The STN layer doesn't support CPU at present, so you can try to make it with GPU.

BTW, usually I don't run 'make runtest', so very THANK YOU for telling me the issue about fish-bike,jpg

[siyilingting]

Thank you for your advice and I will try it again, ^_^

[siyilingting]

Hello, @Fang-Haoshu There are two problems that puzzles me.

1. When I run the command ./data/MPII_COCO14/create_data.sh in the Train/Eval, I find the code searches datas in "/RMPE/data/MPII_COCO14/JPEGImages" instead of "/data/MPII_COCO14/images" . After changing the name, the code runs successfully.
2. But next when I run python examples/rmpe/ssd_pascal_MPII_COCO14VGG.py, it showed me these: F0112 19:03:33.095942 10139 io.cpp:63] Check failed: fd != -1 (-1 vs. -1) File not found: models/VGG_SSD/VGG_ILSVRC_16_layers_fc_reduced.caffemodel *** Check failure stack trace: *** @ 0x7f1b98426e6d (unknown) @ 0x7f1b98428ced (unknown) @ 0x7f1b98426a5c (unknown) @ 0x7f1b9842963e (unknown) @ 0x7f1b9de1e2d3 caffe::ReadProtoFromBinaryFile() @ 0x7f1b9de49134 caffe::ReadNetParamsFromBinaryFileOrDie() @ 0x7f1b9ddc30d7 caffe::Net<>::CopyTrainedLayersFromBinaryProto() @ 0x7f1b9ddc3146 caffe::Net<>::CopyTrainedLayersFrom() @ 0x408d45 CopyLayers() @ 0x40964c train() @ 0x406b9c main @ 0x7f1b901b9b15 __libc_start_main @ 0x4074a5 (unknown)

And I didn't find the file " VGG_ILSVRC_16_layers_fc_reduced.caffemodel " on my computer. Could you give me some advice? Thank you very much!

[Fang-Haoshu]

Hi, thanks for your report!

For training human detector, you need to download the models & get more details at SSD's official repo:https://github.com/weiliu89/caffe/tree/ssd

Best

[siyilingting]

Hi, thank you for your advice! But there is another problem. When I run the command ./data/MPII_COCO14/create_data.sh , it tells me that data_transformer.cpp:444] Check failed: channels == img_channels (3 vs. 1). So I have found the images with one channel and delete them in /home/wbr/RMPE/data/MPII_COCO14/train.txt . Now it seems running correctly and it is training human detector. Is it right to delete data? I really don't understand. Thank you and looking forward to your responds.

Best wishes !

[Fang-Haoshu]

It's not a big problem.

I will try to figure out why. Before that, you can train with your current setting

Best

[Fang-Haoshu]

should be fixed now

[ghost]

Hi! I am facing the same problem 2 tests from HardSpatialTransformerLayerTest/1, where TypeParam = caffe::CPUDevice But it seems that delete line 242-243 in st_layer.cpp doesn't work. I am wondering how you finally solve this. @siyilingting Thank you!