sh Anaconda3-2023.03-1-Linux-aarch64.sh

source /home/anaconda3/etc/profile.d/conda.sh

conda create -n python3.7.16 -y

conda activate python3.7.16

conda install python=3.7.16

cd /path/to

wget https://github.com/lhelontra/tensorflow-on-arm/releases/download/v1.14.0-buster/tensorflow-1.14.0-cp37-none-linux_aarch64.whl

pip3 install tensorflow-1.14.0-cp37-none-linux_aarch64.whl --trusted-host mirrors.huaweicloud.com -i https://mirrors.huaweicloud.com/repository/pypi/simple

pip3 install keras==2.2.4 --trusted-host mirrors.huaweicloud.com -i https://mirrors.huaweicloud.com/repository/pypi/simple

pip3 install scikit-learn==0.24.2 --trusted-host mirrors.huaweicloud.com -i https://mirrors.huaweicloud.com/repository/pypi/simple

pip3 install matplotlib==3.4.3 --trusted-host mirrors.huaweicloud.com -i https://mirrors.huaweicloud.com/repository/pypi/simple

pip3 install seaborn --trusted-host mirrors.huaweicloud.com -i https://mirrors.huaweicloud.com/repository/pypi/simple

pip3 install protobuf==3.20.0 --trusted-host mirrors.huaweicloud.com -i https://mirrors.huaweicloud.com/repository/pypi/simple

vim /home/anaconda3/envs/python3.7/lib/python3.7/site-packages/keras/engine/saving.py

data = [n if isinstance(n, str) else n.decode('utf8') for n in group.attrs[name]]

original_keras_version = f.attrs['keras_version'] if isinstance(f.attrs['keras_version'], str) else f.attrs['keras_version'].decode('utf8')

original_backend = f.attrs['backend'] if isinstance(f.attrs['backend'], str) else f.attrs['backend'].decode('utf8')

cd /path/to

unzip scCapsNet_mask-master.zip

cd scCapsNet_mask

python scCapsNet_mask.py --inputdata=data/PBMC_data.npz --inputcelltype=data/PBMC_celltype.npy --num_classes=8 --dim_capsule=16 --pc_slice=30 --epochs=10

python scCapsNet_mask.py --inputdata=data/retina_data.npz --inputcelltype=data/retina_celltype.npy --num_classes=15 --dim_capsule=32 --pc_slice=20