首先,将以前安装失败的虚拟环境删除
conda env remove -n tensorflow
随后,新建一个虚拟环境等等
conda create -n tensorflow-cpu python=3.6 conda activate tensorflow-cpu pip install tensorflow==1.14.0 #推荐使用pip安装keras: pip install keras==2.2.5 -i https://pypi.tuna.tsinghua.edu.cn/simple/ #安装spyder和jupyter环境 conda install spyder #输入spyder直接进入环境 #安装jupyter环境 conda install ipykernel pip install pypiwin32 pip install jupyter#conda install jupyer python -m ipykernel install --user --name tensorflow-cpu --display-name "Python (tensorflow-cpu)"
测试是否成功
# Python import tensorflow as tf hello = tf.constant('Hello, TensorFlow!') sess = tf.Session() print(sess.run(hello))
安装其他相关库
pip install opencv-python #import cv2
https://www.cnblogs.com/phoenixash/p/12236949.html (版本信息参考)
https://mirror.tuna.tsinghua.edu.cn/help/anaconda/ 镜像修改