如何使用Anaconda安装OpenCV 2版本？新手技术咨询

Hey there! I totally get how frustrating it is when most online tutorials fixate on newer versions like OpenCV 3+, but you specifically need OpenCV 2. Let’s break down the exact steps to get it set up without any hassle.

Step 1: Create a New Anaconda Environment (Highly Recommended) #

It’s always smart to use a dedicated environment for older library versions—this avoids messing up your base Anaconda setup with conflicting dependencies. Here’s how to make one:

• Open Anaconda Prompt (Windows) or your terminal (Mac/Linux)
• Run this command to create an environment named opencv2_env with a Python version compatible with OpenCV 2 (Python 3.6 or 3.7 works best—OpenCV 2 doesn’t support Python 3.8+):

  conda create -n opencv2_env python=3.6
  

• When prompted, type y and hit Enter to proceed.

Step 2: Activate the Environment #

Once the environment is created, activate it using:

conda activate opencv2_env

You’ll see the environment name (opencv2_env) show up at the start of your command line prompt when it’s active.

Step 3: Install OpenCV 2 #

There are two reliable ways to install OpenCV 2 in your environment:

Option 1: Using Conda-Forge (Preferred) #

The default Anaconda channel might not host older OpenCV versions, so we’ll use the conda-forge channel which maintains more historical releases:

• First, you can check all available OpenCV 2 versions on conda-forge with this command:

  conda search -c conda-forge opencv | grep "2\."
  

• Install the latest available OpenCV 2 version (e.g., 2.4.13.7) with:

  conda install -c conda-forge opencv=2.4.13.7
  

• Again, type y when prompted to confirm the installation.

Option 2: Using Pip (If Conda Installation Fails) #

If the conda method hits snags, you can use pip instead. Run this command to install the matching OpenCV 2 version:

pip install opencv-python==2.4.13.7

Step 4: Verify the Installation #

To make sure everything worked correctly:

• Open Python in your active environment by running python in the terminal
• Type these lines one by one:

  import cv2
  print(cv2.__version__)
  

• If you see a version number starting with 2. (like 2.4.13.7), congratulations—you’ve successfully installed OpenCV 2!

Quick Notes #

• Python Version Check: Double-check you’re using Python 3.6/3.7 in your environment. Confirm with python --version—newer Python versions will cause installation errors.
• Network Issues: If downloads are slow, you can configure a domestic conda mirror source to speed things up (just search for "conda domestic mirror" and follow region-specific setup steps).

内容的提问来源于stack exchange，提问作者s.bhardwaj