pip 安装依赖 设置加速目录 Conda 设置加速安装

python 设置阿里云pip源，加速pip更新速度

Linux系统：

mkdir ~/.pip
cat > ~/.pip/pip.conf << EOF
[global]
trusted-host=mirrors.aliyun.com
index-url=https://mirrors.aliyun.com/pypi/simple/
EOF

Windows系统：

首先在window的文件夹窗口输入 ： %APPDATA%
然后创建pip文件夹
最后创建pip.ini文件，写入如下内容：

[global]
index-url = https://mirrors.aliyun.com/pypi/simple/
[install]
trusted-host=mirrors.aliyun.com

pip 安装依赖 设置加速

http://www.zyglz.com/index.php/archives/18.html
阿里云源：https://mirrors.aliyun.com/pypi/simple
腾讯云源：https://mirrors.cloud.tencent.com/pypi/simple
豆瓣源：https://pypi.doubanio.com/simple
清华源：https://pypi.tuna.tsinghua.edu.cn/simple
华为源：https://repo.huaweicloud.com/simple


2.生成requirements.txt文件：
3.安装requirements.txt依赖：
python -m pip install --upgrade pip
pip freeze > requirements.txt
pip install -r requirements.txt

pip 指定包的目录
方法一
指定安装numpy包到固定文件夹下，比如这里“文件夹”是安装路径

pip install -t 文件夹 numpy
pip3 install tensorflow==2.0.0 -i https://pypi.tuna.tsinghua.edu.cn/simple


#自定义依赖安装包的路径
USER_SITE = null
#自定义的启用Python脚本的路径
USER_BASE = null
我这里修改为

USER_SITE = "D:\program\Anaconda\envs\py36\Lib\site-packages"
USER_BASE = "D:\program\Anaconda\envs\py36\Scripts"
验证
python -m site 


yum install python3-dev python3-pip python3-venv

 yum install zlib-devel bzip2-devel openssl-devel ncurses-devel sqlite-devel readline-devel tk-devel gdbm-devel db4-devel libpcap-devel xz-devel

conda 安装



# 获得最新的miniconda安装包；
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
# 安装到自己的HOME目录software/miniconda3中，这个目录在安装前不能存在；
sh Miniconda3-latest-Linux-x86_64.sh -b -p ${HOME}/software/miniconda3
# 安装成功后删除安装包
rm -f Miniconda3-latest-Linux-x86_64.sh
# 将环境变量写入~/.bashrc文件中；
echo "export PATH=${HOME}/software/miniconda3/bin:\$PATH" >> ~/.bashrc
# 退出重新登录或者执行以下命令
source ~/.bashrc

#加速
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/

conda config --set show_channel_urls yes

#GPU 版
conda create -n tf-gpu-2.3.0 tensorflow-gpu==2.3.0 -y


#CPU 版
conda create -n tf-2.3.0 tensorflow==2.3.0 -y
source activate tf-2.3.0
python -c "import tensorflow as tf;print(tf.reduce_sum(tf.random.normal([1000, 1000])))"

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
#＃保证sess.run()能够正常运行 2.0版本的
import tensorflow as tf
tf.__version__
tf.compat.v1.disable_eager_execution()　
hello = tf.constant('hello,tensorflow')
sess= tf.compat.v1.Session()
print(sess.run(hello))



#导入包
from hyperlpr import *
#导入OpenCV库
import cv2
#读入图片
image = cv2.imread("D:\\tensorflow\\lpr-master\\test-imgs\\1.jpg")
cv2.imshow("Image", image）
#识别结果
print(HyperLPR_plate_recognition(image))



source deactivate

win

pip install tensorflow-1.6.0-cp36-cp36m-win_amd64.whl

pip install tensorflow-2.3.0-cp38-cp38m-win_amd64.whl

 常用的依赖项

pip install -r requirements.txt

absl-py==0.13.0
aniso8601==7.0.0
aplus==0.11.0
argon2-cffi==20.1.0
astropy==4.2.1
astunparse==1.6.3
async-generator==1.10
attrs==21.2.0
Automat==20.2.0
autopep8==1.5.7
backcall==0.2.0
beautifulsoup4==4.9.3
blake3==0.1.8
bleach==3.3.0
bqplot==0.12.29
bs4==0.0.1
cachetools==4.2.2
certifi==2021.5.30
cffi==1.14.5
chardet==4.0.0
click==8.0.1
cloudpickle==1.6.0
colorama==0.4.4
comtypes==1.1.10
constantly==15.1.0
cryptography==3.4.7
cssselect==1.1.0
cycler==0.10.0
d3dshot==0.1.5
dask==2021.6.1
decorator==5.0.9
defusedxml==0.7.1
entrypoints==0.3
et-xmlfile==1.1.0
flake8==3.9.2
Flask==2.0.1
frozendict==2.0.2
fsspec==2021.6.0
future==0.18.2
gast==0.3.3
google-auth==1.31.0
google-auth-oauthlib==0.4.4
google-pasta==0.2.0
graphene==2.1.8
graphene-tornado==2.6.1
graphql-core==2.3.2
graphql-relay==2.0.1
greenlet==1.1.0
grpcio==1.38.0
h2==3.2.0
h5py==2.10.0
hpack==3.0.0
hyperframe==5.2.0
hyperlink==21.0.0
idna==2.10
incremental==21.3.0
ipydatawidgets==4.2.0
ipykernel==5.5.5
ipyleaflet==0.14.0
ipympl==0.7.0
ipython==7.24.1
ipython-genutils==0.2.0
ipyvolume==0.5.2
ipyvue==1.5.0
ipyvuetify==1.7.0
ipywebrtc==0.6.0
ipywidgets==7.6.3
itemadapter==0.2.0
itemloaders==1.0.4
itsdangerous==2.0.1
jedi==0.18.0
Jinja2==3.0.1
jmespath==0.10.0
joblib==1.0.1
jsonschema==3.2.0
jupyter-client==6.1.12
jupyter-core==4.7.1
jupyterlab-pygments==0.1.2
jupyterlab-widgets==1.0.0
Keras==2.3.0
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.2
kiwisolver==1.3.1
llvmlite==0.36.0
locket==0.2.1
lxml==4.6.3
Markdown==3.3.4
MarkupSafe==2.0.1
matplotlib==3.4.2
matplotlib-inline==0.1.2
mccabe==0.6.1
mistune==0.8.4
nbclient==0.5.3
nbconvert==6.0.7
nbformat==5.1.3
nest-asyncio==1.5.1
notebook==6.4.0
numba==0.53.1
numexpr==2.7.3
numpy==1.18.5
oauthlib==3.1.1
opencv-python==4.5.3.56
openpyxl==3.0.7
opt-einsum==3.3.0
packaging==20.9
pandas==1.2.4
pandocfilters==1.4.3
parsel==1.6.0
parso==0.8.2
partd==1.2.0
pickleshare==0.7.5
Pillow==7.1.2
priority==1.3.0
progressbar2==3.53.1
prometheus-client==0.11.0
promise==2.3
prompt-toolkit==3.0.19
Protego==0.1.16
protobuf==3.17.3
psutil==5.8.0
pyarrow==4.0.1
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycodestyle==2.7.0
pycparser==2.20
PyDispatcher==2.0.5
pyerfa==2.0.0
pyflakes==2.3.1
Pygments==2.9.0
PyMySQL==1.0.2
PyOpenGL==3.1.5
pyOpenSSL==20.0.1
pyparsing==2.4.7
pyrsistent==0.17.3
python-dateutil==2.8.1
python-utils==2.5.6
pythreejs==2.3.0
pytz==2021.1
pywin32==301
pywinpty==1.1.2
PyYAML==5.4.1
pyzmq==22.1.0
queuelib==1.6.1
requests==2.25.1
requests-oauthlib==1.3.0
rsa==4.7.2
Rx==1.6.1
scikit-learn==0.24.2
scipy==1.4.1
Scrapy==2.5.0
seaborn==0.11.1
Send2Trash==1.5.0
service-identity==21.1.0
simplejson==3.17.3
six==1.16.0
soupsieve==2.2.1
SQLAlchemy==1.4.20
tables==3.6.1
tabulate==0.8.9
tensorboard==2.5.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorflow-cpu==2.3.0
tensorflow-estimator==2.3.0
termcolor==1.1.0
terminado==0.10.1
testpath==0.5.0
threadpoolctl==2.1.0
toml==0.10.2
toolz==0.11.1
torch==1.9.0
torchvision==0.10.0
tornado==6.1
traitlets==5.0.5
traittypes==0.2.1
tushare==1.2.64
Twisted==21.7.0
twisted-iocpsupport==1.0.1
typing-extensions==3.10.0.0
urllib3==1.26.5
vaex==4.3.0
vaex-astro==0.8.2
vaex-core==4.3.0.post1
vaex-hdf5==0.8.0
vaex-jupyter==0.6.0
vaex-ml==0.12.0
vaex-server==0.5.0
vaex-viz==0.5.0
vboxapi==1.0
w3lib==1.22.0
wcwidth==0.2.5
webencodings==0.5.1
websocket-client==1.2.1
Werkzeug==2.0.1
widgetsnbextension==3.5.1
wrapt==1.12.1
xarray==0.18.2
xlrd==2.0.1
yapf==0.31.0
zope.interface==5.4.0