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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