文件名称：配环境所用的包.rar
文件大小：502.27MB
文件格式：RAR
更新时间：2022-11-02 16:06:41
深度学习 环境配置
本压缩包是针对python3.6在深度学习中所用到的一些库包，是针对服务器ubantu，Linux下非root权限用户安装！！！全部安装完成后，可跑mask rcnn！！！！
【文件预览】：
配环境所用的包
----pyparsing-2.4.2-py2.py3-none-any.whl(64KB)
----tensorboard-1.14.0-py3-none-any.whl(3MB)
----gast-0.3.2.tar.gz(13KB)
----PyWavelets-1.0.3-cp36-cp36m-manylinux1_x86_64.whl(4.17MB)
----networkx-2.3.zip(1.66MB)
----Keras_Applications-1.0.8-py3-none-any.whl(50KB)
----kiwisolver-1.1.0-cp36-cp36m-manylinux1_x86_64.whl(89KB)
----Python-3.6.7.tgz(21.91MB)
----astor-0.8.0-py2.py3-none-any.whl(27KB)
----Keras-2.0.8.tar.gz(391KB)
----skimage-0.0.tar.gz(757B)
----Keras_Preprocessing-1.1.0-py2.py3-none-any.whl(41KB)
----tensorflow_estimator-1.14.0-py2.py3-none-any.whl(477KB)
----pip-19.2.3.tar.gz(1.31MB)
----wrapt-1.11.2.tar.gz(27KB)
----google_pasta-0.1.7-py3-none-any.whl(51KB)
----tensorflow_gpu-1.14.0-cp36-cp36m-manylinux1_x86_64.whl(359.53MB)
----Pillow-6.2.0-cp36-cp36m-manylinux1_x86_64.whl(2MB)
----cycler-0.10.0-py2.py3-none-any.whl(6KB)
----absl-py-0.8.1.tar.gz(101KB)
----grpcio-1.24.1-cp36-cp36m-manylinux1_x86_64.whl(2.16MB)
----zlib-1.2.11.tar.gz(593KB)
----decorator-4.4.0.tar.gz(34KB)
----numpy-1.17.2-cp36-cp36m-manylinux1_x86_64.whl(19.42MB)
----wheel-0.33.6-py2.py3-none-any.whl(21KB)
----Markdown-3.1.1-py2.py3-none-any.whl(86KB)
----matplotlib-3.1.1-cp36-cp36m-manylinux1_x86_64.whl(12.53MB)
----Werkzeug-0.16.0-py2.py3-none-any.whl(320KB)
----setuptools-41.4.0-py2.py3-none-any.whl(567KB)
----imageio-2.6.1.tar.gz(3.2MB)
----PyYAML-5.1.2.tar.gz(259KB)
----termcolor-1.1.0.tar.gz(4KB)
----scikit_image-0.15.0-cp36-cp36m-manylinux1_x86_64.whl(25.1MB)
----python_dateutil-2.8.0-py2.py3-none-any.whl(221KB)
----six-1.12.0-py2.py3-none-any.whl(10KB)
----scipy-1.3.1-cp36-cp36m-manylinux1_x86_64.whl(24.03MB)
----protobuf-3.10.0-cp36-cp36m-manylinux1_x86_64.whl(1.2MB)
----opencv_python-4.1.1.26-cp36-cp36m-manylinux1_x86_64.whl(27.35MB)
----h5py-2.10.0-cp36-cp36m-manylinux1_x86_64.whl(2.74MB)