Link to the original text ：https://github.com/richzhang/colorization
The steps are basically in accordance with Installation The instructions in
1. Install dependency library
1.1Python Correlation Library
Python libraries (numpy, pyplot, skimage, scipy). Relevant command ：
sudo apt-get install python
sudo apt-get install python-numpy
sudo apt-get install python-matplotlib
sudo apt-get install python-scipy
1.2python Of ipython notebook
2. install caffe
Main reference for installation steps Caffe stay Ubuntu 14.04 64bit Installation below and caffe Official installation documentation
explain ： According to the situation of your own machine Makefile.config Set in the
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev
- install ATLAS
sudo apt-get install libatlas-base-dev
- compile . Because I only use CPU So pay attention to the official instructions For CPU-only Caffe, uncomment CPU_ONLY := 1 in Makefile.config. Then compile as follows
cp Makefile.config.example Makefile.config
# Adjust Makefile.config ( Modify according to the condition of the machine )
- test . The command in the terminal is as follows . If no error is reported, the installation is successful
3. Specific configuration
Basically according to Project website Installation Set up
- follow project
git clone -b master --single-branch https://github.com/richzhang/colorization.git
- cd To demo Directory
- function ipython notebook
ipython notebook. It will automatically extract demo In the directory colorization_demo_v0.ipynb And run it in the browser . Click the corresponding code and click the run button to run the corresponding code block .
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