python-yaml (pyyaml) python-h5py (h5py) 前四个可通过yum包管理器安装. #yum provides python-dev python-numpy python-matplotlib python-yaml #yum install python-dev python-numpy python-matplotlib python-yaml CentOS 7 下通过epel扩展源才能安装h5py. #yum -y install epel-release #yum provides h5py #yum install ....
Install the dependencies of python, to prevent weird messages: sudo apt-get install -y make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev libsqlite3-dev git Install pyenv. Sadly this application doesn't have package that you could just apt-get away, but still it's easy to install:

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In this case, we are using 32-bit binaries of Python packages. But if you want to use OpenCV for x64, 64-bit binaries of Python packages are to be installed. Problem is that, there is no official 64-bit binaries of Numpy. You have to build it on your own. For that, you have to use the same compiler used to build Python. HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format. - h5py/h5py. This is the first release of the h5py 2.9 series. This release support Python 2.7 and Python 3.4-3.7. Features: - Convenient high-level API for creating virtual datasets - Construct an...

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name: gsas2full version: **Version** install_in_dependency_order: True channels: - http://repo.continuum.io/pkgs/main/ specs: - python>=3.7 - conda - numpy>=1.18 ... Pronounced “conch,” the tool works with Linux, Windows, and Mac OS X, and it offers a shell language and command prompt. It compiles to a Python AST (Abstract Syntax Tree), features a superset of Python 3.4, and relies on the Python standard library and the PLY parsing tool.

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After installing anaconda or miniconda, you should use the conda command to create a suitable environment: $ conda create --name pycourse python=3.5 numpy=1.10 scipy h5py pandas ipython ipython-notebook matplotlib This creates a virtual python environment named "pycourse" with the packages that I will use for the course.

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SciPy 0.19.1 (and later versions) Install or install via pip pip install scipy OpenCV Install or install via pip pip install opencv-python Pillow Install or install via pip pip install pillow Matplotlib Install or install via pip pip install matplotlib h5py Install or install via pip pip install h5py Keras 2.x Install or install via pip pip ... Mar 31, 2020 · ModuleNotFoundError: No module named 'tensorflow.python._pywrap_tensorflow_internal' 22512, 22794: ImportError: DLL load failed: The specified module could not be found. 24835: Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: [long path name]

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•opencv-python •h5py •pillow •pydicom *Specifying the “tensorflow ”and numpy version is very important. **If youcannot install "kerasof version “ 2.4and exceed ", need to use in tensorflow“(the version of “2.1.6-tf”). In this case, “importkeras”in the Python source code

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Our official release of TensorFlow for Jetson TX2! Python 3.6+JetPack4.4 sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran sudo apt-get install python3-pip sudo pip3 install -U pip sudo pip3 install -U pip testresources setuptools numpy==1.16.1 future==0.17.1 mock==3.0.5 h5py==2.9.0 keras_preprocessing==1.0.5 keras ...

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SciPy 0.19.1 (and later versions) Install or install via pip pip install scipy OpenCV Install or install via pip pip install opencv-python Pillow Install or install via pip pip install pillow Matplotlib Install or install via pip pip install matplotlib h5py Install or install via pip pip install h5py Keras 2.x Install or install via pip pip ... python 3.6およびanaconda 3.6を使用したWindows 10でのopencvのインストール. Anacondaで以前のパッケージに戻すにはどうすればよいですか? conda、またはconda-forgeはPython環境に使用する必要がありますか? Windowsでのanacondaを使用したTensorFlowのインストール Python currently has two active versions, there are some important differences that prevent python code from running with python 3. That means that some packages are currently no python 3 ready and some of them will never be. Python 2 will stop being supported on 2020, so until that happens python 2 and 3 will coexist and that is the reason why ...

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