Andrea Amantini / Apr 17 2018
Ml4A Environments
Ml4A Environments
1. Packages and libs
1.
Packages and libs
conda install -y \ h5py \ pandas \ theano \ && pip install --upgrade -I setuptools \ && pip install --ignore-installed --upgrade \ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0-cp27-none-linux_x86_64.whl \ && pip install --upgrade keras conda install -y \ matplotlib \ seaborn conda install -y scikit-learn # RUN conda install -c conda-forge librosa # RUN conda install -c mutirri -y blessings=1.6 # RUN conda install -c conda-forge tqdm=4.14.0 # RUN pip install python-igraph conda install -y pillow=3.4.1
2. Data
2.
Data
mkdir -p /objects wget http://www.vision.caltech.edu/Image_Datasets/Caltech101/101_ObjectCategories.tar.gz -O /objects/101_ObjectCategories.tar.gz cd /objects tar -xvzf 101_ObjectCategories.tar.gz rm 101_ObjectCategories.tar.gz
conda install -y -c conda-forge tqdm