At the same time, there may be some version problems when using Tensorlfow and OpenCV on Anaconda. I will share the process that worked before.
1. Installation environment
Anaconda + CUDA10.0 + CUDNN7.5.0 ；
Two, configure Anaconda mirror source
Open the console directly and enter:
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --set show_channel_urls yes
Note: If an HTTP0 error occurs after creating a new environment:
Open: Change .condarc under
C:\Users<your user name>
to:
channels:
- http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
- http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
ssl_verify: true
show_channel_urls: true
Three, create a new environment
Open the console and enter the following commands in sequence:
conda create -n python36 python=3.6
activate python36
conda install tensorflow-gpu=1.13
conda install scikit-image
conda install matplotlib
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple opencv-python