diff --git a/README.rst b/README.rst index 87d2ff9d78422f0f15dd9be89216bb88a26621b4..1f08b9e21b07f87a5295c8f9ec01310ef205e822 100644 --- a/README.rst +++ b/README.rst @@ -20,6 +20,7 @@ or Then activate the environment and install ``pyfaust``: conda activate sigma_faust + pip install pyfaust Download and extract 'sigma_faust' files, go to the source code root directory @@ -39,13 +40,12 @@ run the experiment and execute function `plot_random(N=256)` from To reproduce the second experiment, the bottom plot of Figure 1 and Figure 2 (target matrix is composed of data from MNIST), -* download and locally extract the data from -`https://archive.ics.uci .edu/ml/datasets/Optical+Recognition+of+Handwritten+Digits` -* run file `extract_matrices_from_datasets.py` after adapting path variable -`root_dir` depending on the location of your data +* download and locally extract the data from the `UCI +repository<https://archive.ics.uci +.edu/ml/datasets/Optical+Recognition+of+Handwritten+Digits>`_ +* run file `extract_matrices_from_datasets.py` after adapting path variable `root_dir` depending on the location of your data * run file `exp_icassp_data_matrices.py`. -* execute function `plot_digits()` from -`sigma_faust.plot_icassp_results` module to display the results. +* execute function `plot_digits()` from `sigma_faust.plot_icassp_results` module to display the results. Bug report ----------