Installing CPU-only Caffe on Ubuntu

The article you provided covers the basic steps of image recognition using Caffe, including installing Caffe on the Ubuntu system, configuring environment variables, and how to use pre-trained models for classification predictions. Below are some supplementary and optimization suggestions for your document content: ### 1. Preparation Before Installation Ensure your computer meets the following requirements: - Operating System: Ubuntu - Python Version: Python 3.x is recommended, as many libraries and frameworks receive better support in Python 3. - CUDA (Optional): If you want to use

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Converting Caffe Models to PaddlePaddle Fluid Prediction Models

You have detailed how to convert a Caffe model to a prediction model using PaddlePaddle and provided complete code examples. Next, I will explain the key steps and precautions in the entire process step by step and make some improvements to the provided code. ### 1. Environment Preparation Ensure your environment has installed the necessary tools and dependencies: - Install the `caffemodel-to-fluid` library: ```bash git clone https://github.com/P ``` **Note**: The original input for this command appears truncated. Assuming it should be the correct repository URL for `caffemodel-to-fluid`, the continuation would follow standard cloning syntax (e.g., `https://github.com/PaddlePaddle/caffemodel-to-fluid.git`).

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