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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/10/05 23:13:40 UTC
[GitHub] [incubator-mxnet] diegobernardes opened a new issue #16379: Fail to
run example code with Raspberry Pi
diegobernardes opened a new issue #16379: Fail to run example code with Raspberry Pi
URL: https://github.com/apache/incubator-mxnet/issues/16379
## Description
With a fresh Raspbian install on a Raspberry Pi 4 I'm not able to run [this](https://gluon-cv.mxnet.io/build/examples_detection/demo_yolo.html) example. Would be nice to have a pre compiled wheel for Raspberry that includes the OpenCV. I tried to build the MXNet from the source, but I'm having an error as well.
## Environment info
```
----------Python Info----------
Version : 3.7.3
Compiler : GCC 8.2.0
Build : ('default', 'Apr 3 2019 05:39:12')
Arch : ('32bit', 'ELF')
------------Pip Info-----------
Version : 18.1
Directory : /usr/lib/python3/dist-packages/pip
----------MXNet Info-----------
Version : 1.5.0
Directory : /home/pi/.local/lib/python3.7/site-packages/mxnet
Commit hash file "/home/pi/.local/lib/python3.7/site-packages/mxnet/COMMIT_HASH" not found. Not installed from pre-built package or built from source.
Library : ['/home/pi/.local/lib/python3.7/site-packages/mxnet/libmxnet.so']
Build features:
No runtime build feature info available
----------System Info----------
Platform : Linux-4.19.57-v7l+-armv7l-with-debian-10.0
system : Linux
node : raspberrypi
release : 4.19.57-v7l+
version : #1244 SMP Thu Jul 4 18:48:07 BST 2019
----------Hardware Info----------
machine : armv7l
processor :
Architecture: armv7l
Byte Order: Little Endian
CPU(s): 4
On-line CPU(s) list: 0-3
Thread(s) per core: 1
Core(s) per socket: 4
Socket(s): 1
Vendor ID: ARM
Model: 3
Model name: Cortex-A72
Stepping: r0p3
CPU max MHz: 1500.0000
CPU min MHz: 600.0000
BogoMIPS: 270.00
Flags: half thumb fastmult vfp edsp neon vfpv3 tls vfpv4 idiva idivt vfpd32 lpae evtstrm crc32
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0327 sec, LOAD: 0.5603 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0068 sec, LOAD: 0.2168 sec.
Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.0319 sec, LOAD: 0.6907 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0062 sec, LOAD: 0.3093 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.1843 sec, LOAD: 0.5646 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0092 sec, LOAD: 0.1116 sec.
----------Environment----------
```
## Error Message:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/pi/.local/lib/python3.7/site-packages/gluoncv/data/transforms/presets/yolo.py", line 99, in load_test
imgs = [mx.image.imread(f) for f in filenames]
File "/home/pi/.local/lib/python3.7/site-packages/gluoncv/data/transforms/presets/yolo.py", line 99, in <listcomp>
imgs = [mx.image.imread(f) for f in filenames]
File "/home/pi/.local/lib/python3.7/site-packages/mxnet/image/image.py", line 83, in imread
return _internal._cvimread(filename, *args, **kwargs)
File "<string>", line 35, in _cvimread
File "/home/pi/.local/lib/python3.7/site-packages/mxnet/_ctypes/ndarray.py", line 92, in _imperative_invoke
ctypes.byref(out_stypes)))
File "/home/pi/.local/lib/python3.7/site-packages/mxnet/base.py", line 252, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [00:10:34] /work/mxnet/src/io/image_io.cc:249: Build with USE_OPENCV=1 for image io.
Stack trace returned 8 entries:
[bt] (0) /home/pi/.local/lib/python3.7/site-packages/mxnet/libmxnet.so(dmlc::StackTrace()+0x34) [0xadf0aacc]
[bt] (1) /home/pi/.local/lib/python3.7/site-packages/mxnet/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x30) [0xadf0adb0]
[bt] (2) /home/pi/.local/lib/python3.7/site-packages/mxnet/libmxnet.so(mxnet::io::Imread(nnvm::NodeAttrs const&, std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> > const&, std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> >*)+0x3c) [0xae059d38]
[bt] (3) /home/pi/.local/lib/python3.7/site-packages/mxnet/libmxnet.so(mxnet::Imperative::Invoke(mxnet::Context const&, nnvm::NodeAttrs const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&)+0x1b4) [0xae0389a0]
[bt] (4) /home/pi/.local/lib/python3.7/site-packages/mxnet/libmxnet.so(MXImperativeInvokeImpl(void*, int, void**, int*, void***, int, char const**, char const**)+0x3b4) [0xadf31314]
[bt] (5) /home/pi/.local/lib/python3.7/site-packages/mxnet/libmxnet.so(MXImperativeInvokeEx+0x80) [0xadf32240]
[bt] (6) /usr/lib/arm-linux-gnueabihf/libffi.so.6(ffi_call_VFP+0x54) [0xb64d8cc0]
[bt] (7) /usr/lib/arm-linux-gnueabihf/libffi.so.6(ffi_call+0x154) [0xb64d96cc]
```
## Minimum reproducible example
I've followed [this](https://mxnet.apache.org/index.html) installation guide.
<img width="811" alt="image" src="https://user-images.githubusercontent.com/14483/66261908-dcc94280-e7cd-11e9-8913-661ae7222d1d.png">
## Steps to reproduce
1. Execute [this](https://gluon-cv.mxnet.io/build/examples_detection/demo_yolo.html) example.
## What have you tried to solve it?
1. Tried to build from source, but without success as well.
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