How to run pretrained models of Pixel Objectness

浪尽此生 提交于 2019-12-12 06:47:17

问题


I can't run pretrained models of Pixel Objectness published by Suyog Dutt Jain et al in 2017.

I referred section Using the pretrained models in README.md on GitHub, but couldn't understand the following procedures well.

・Setup: Download and install Deeplab-v1 from here

・Refer to demo.py for step-by-step instruction on how to run the code.

I tryed to install and run "demo.py", but I got some errors. Though I referred solutions on Website, unsolvable error remained.

/usr/bin/python2.7 /mnt/C6BF-F678/pixelobjectness/pixelobjectness-master/demo.py
/usr/local/DL-Box/digits-4.0/caffe/distribute/bin/caffe.bin test --model=/mnt/C6BF-F678/pixelobjectness/pixelobjectness-master/test.prototxt --weights=/mnt/C6BF-F678/pixelobjectness/pixelobjectness-master/pixel_objectness.caffemodel --gpu=0 --iterations=4
I0606 14:34:09.451035  9830 caffe.cpp:261] Use GPU with device ID 0
I0606 14:34:09.451524  9830 caffe.cpp:265] GPU device name: Quadro P6000
[libprotobuf ERROR google/protobuf/text_format.cc:245] Error parsing text-format caffe.NetParameter: 424:16: Message type "caffe.LayerParameter" has no field named "interp_param".
F0606 14:34:09.811586  9830 upgrade_proto.cpp:79] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: /mnt/C6BF-F678/pixelobjectness/pixelobjectness-master/test.prototxt
*** Check failure stack trace: ***
@     0x7f3829e1cdaa  (unknown)
@     0x7f3829e1cce4  (unknown)
@     0x7f3829e1c6e6  (unknown)
@     0x7f3829e1f687  (unknown)
@     0x7f382a58ef7e  caffe::ReadNetParamsFromTextFileOrDie()
@     0x7f382a5c8418  caffe::Net<>::Net()
@           0x407954  test()
@           0x40625c  main
@     0x7f3828979f45  (unknown)
@           0x406a2d  (unknown)
@              (nil)  (unknown)
Aborted (core dumped)

Process finished with exit code 0

I have installed GPU and caffe.

It is much appreciated if you would explain procedures carefully.

来源:https://stackoverflow.com/questions/44406188/how-to-run-pretrained-models-of-pixel-objectness

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