How to Install Caffe2 on Windows?

The University of California, Berkeley is where the Caffe (Convolutional Architecture for Fast Feature Embedding) deep learning framework was first created. It is BSD-licensed and open-source. [4] It has a Python interface and is developed in C++. Scalable systems and cross-platform support are its key focuses. PyTorch, on the other hand, has a completely Pythonic interface and is intended for research with a focus on research flexibility. Model deployment: For model deployment on iOS, Android, Tegra, and Raspberry Pi platforms, Caffe2 is more developer-friendly than PyTorch.

How to Build/Install Caffe2 in Windows 

Step 1: Run the following command at the command prompt.

 conda install -c pytorch pytorch-nightly-cpu

Step 2: The following is a Python script you may create and run in your Juypter project.

Output:

Step 3: Here is an installation test page for your quick reference.

Step 4: Run the following command on your console to download the tutorials’ source.

git clone –recursive https://github.com/caffe2/tutorials caffe2_tutorials

Step 5: To find the folder of caffe2  in your installation directory run the below command.

/Users/yourusername/caffe2_tutorials

Now, caffe2 is successfully installed on your windows.