Add a shortcut to the shared demo data in your own Google Drive:
-
Open the link to access the shared data: https://drive.google.com/drive/folders/1YOKEYUWadK_DwKCRzelywr_ihQchb9FV?usp=sharing.
-
Add a shortcut to the shared data in your Google Drive.
-
Save it to "My Drive".
-
Open the Colab link: https://colab.research.google.com/drive/113uoe5Dwg_8gnNy5NWwWjKCa91qKd-25?usp=sharing
-
Follow the instructions in the Colab notebook to run the demo.
If you wanted to run peaknet
on your own computers, please follow the
installtation guide below.
-
Make sure your sytem has
conda
installed, otherwise please refer to the anaconda installation page for the installation. -
Create a conda environment for running peaknet. Let'call this environment
peaknet
for now. Python version greater than 3.6 is required.conda create --name peaknet python=3.9
-
Activate the conda environment.
conda activate peaknet
-
Install
pip
for your conda environmentpeaknet
.conda install pip
Then, you can use
which pip
to check ifpip
is a system-wide command or a command pointing to the conda environment. -
Install
torch
andcupy
that require GPUs. Our cuda version is12.0
.# Install torch conda install pytorch pytorch-cuda=11.8 -c pytorch -c nvidia # Install cupy conda install -c conda-forge cupy
-
Install
tqdm
,scikit-image
andh5py
.conda install tqdm scikit-image h5py
-
(Demo specific) Install
matplotlib
for visualization using the demo.conda install matplotlib
-
Finally, install
peaknet
directly with agithub
link (it should take less than one minute to install).pip install git+https://github.com/carbonscott/peaknet --upgrade
-
Download the demo data from the shared folder: https://drive.google.com/drive/folders/1YOKEYUWadK_DwKCRzelywr_ihQchb9FV?usp=sharing
-
Download the jupyter notebook from the Colab link:
-
Copy and paste the downloaded jupyter notebook to the folder containing the demo data.
-
You can start running the notebook from the
Demo
section.