PYNQ-Z2是基于armv7l平臺，使用pip3直接安裝keras時會報錯龟糕，如下：
In file included from /tmp/pip-build-taykg8ym/h5py/h5py/defs.c:528:0: /tmp/pip-build-taykg8ym/h5py/h5py/api_compat.h:27:10: fatal error: hdf5.h: No such file or directory #include "hdf5.h" ^~~~~~~~ compilation terminated. error: command 'arm-linux-gnueabihf-gcc' failed with exit status 1 ---------------------------------------- Failed building wheel for h5py Running setup.py clean for h5pyFailed to build h5pyInstalling collected packages: h5py, keras-applications, keras-preprocessing, keras Running setup.py install for h5py ... \
提示未找到“hdf5.h”這個頭文件，網(wǎng)上有相關的解決方案提到需要安裝python3-dev族跛，然而：
root@pynq:/home/xilinx# apt-get install python3-dev
Reading package lists... Done
Building dependency tree
Reading state information... Done
python3-dev is already the newest version (3.6.5-3).
0 upgraded, 0 newly installed, 0 to remove and 333 not upgraded.
后又參考：https://blog.csdn.net/xue_wenyuan/article/details/52037121
需要先更改安裝配置文件莱没，更改include路徑，但是在我的系統(tǒng)下并不存在這樣的目錄厢钧，/usr/local/include下什么都沒有，然后參考http://www.reibang.com/p/6189d6b30fb8后發(fā)現(xiàn)需要先安裝 libhdf5-dev
sudo apt-get install libhdf5-dev
安裝后會在/usr/local/include/hdf5/serial目錄下產(chǎn)生大量頭文件
root@pynq:/usr/include/hdf5/serial# ls
H5AbstractDs.h H5Epubgen.h H5Gpublic.h H5PLpublic.h
H5ACpublic.h H5Epublic.h H5Group.h h5p.mod
h5a.mod H5Exception.h H5IdComponent.h H5Ppublic.h
H5api_adpt.h H5f90i_gen.h h5im.mod H5PredType.h
H5Apublic.h H5f90i.h h5i.mod H5PropList.h
H5ArrayType.h H5FaccProp.h H5IMpublic.h H5PTpublic.h
然后從github下載h5py源碼進行安裝嬉橙，下載地址：https://github.com/h5py/h5py/releases
root@pynq:/home/xilinx/install/Keras/h5py-2.9.0# python3 setup.py install
running install
running bdist_egg
.
.
.
Adding numpy 1.13.3 to easy-install.pth file
Using /usr/lib/python3/dist-packages
Finished processing dependencies for h5py==2.9.0
然后python下import h5py成功
root@pynq:/home/xilinx/# python3
Python 3.6.5 (default, Apr 1 2018, 05:46:30)
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>
>>> import h5py
>>>
接下來安裝keras庫早直，import成功
root@pynq:/home/xilinx# pip3 install Keras-2.2.4-py2.py3-none-any.whl
Processing ./Keras-2.2.4-py2.py3-none-any.whl
Collecting keras-applications>=1.0.6 (from Keras==2.2.4)
Using cached https://files.pythonhosted.org/packages/3f/c4/2ff40221029f7098d58f8d7fb99b97e8100f3293f9856f0fb5834bef100b/Keras_Applications-1.0.6-py2.py3-none-any.whl
Requirement already satisfied: six>=1.9.0 in /usr/lib/python3/dist-packages (from Keras==2.2.4)
Requirement already satisfied: numpy>=1.9.1 in /usr/lib/python3/dist-packages (from Keras==2.2.4)
Requirement already satisfied: scipy>=0.14 in /usr/lib/python3/dist-packages (from Keras==2.2.4)
Requirement already satisfied: pyyaml in /usr/lib/python3/dist-packages (from Keras==2.2.4)
Requirement already satisfied: h5py in /usr/local/lib/python3.6/dist-packages/h5py-2.9.0-py3.6-linux-armv7l.egg (from Keras==2.2.4)
Collecting keras-preprocessing>=1.0.5 (from Keras==2.2.4)
Using cached https://files.pythonhosted.org/packages/fc/94/74e0fa783d3fc07e41715973435dd051ca89c550881b3454233c39c73e69/Keras_Preprocessing-1.0.5-py2.py3-none-any.whl
Installing collected packages: keras-applications, keras-preprocessing, Keras
Successfully installed Keras-2.2.4 keras-applications-1.0.6 keras-preprocessing-1.0.5
root@pynq:/home/xilinx# python3
Python 3.6.5 (default, Apr 1 2018, 05:46:30)
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import keras
Using TensorFlow backend.
>>>
>>>
