Update README.md

README.md

@@ -57,14 +57,12 @@ This python project is organized as follows:
 ## Usage Examples
 Here we report the example tests on the 3D hyperbolic data included in the paper.
 
-    ```bash
     # solve mask 1 saving the CNN weights
     python main.py --imgdir ./datasets/hyperbolic3d --imgname original.npy --maskname random66_shot1.npy --datadim 3d --gain 40 --upsample linear --epochs 3000 --savemodel --outdir TL/shot1
     # solve mask 2 from scratch
     python main.py --imgdir ./datasets/hyperbolic3d --imgname original.npy --maskname random66_shot2.npy --datadim 3d --gain 40 --upsample linear --epochs 3000 --outdir TL/shot2_scratch
     # solve mask 2 using as initial guess the CNN weights of mask 1
     python main.py --imgdir ./datasets/hyperbolic3d --imgname original.npy --maskname random66_shot2.npy --datadim 3d --gain 40 --upsample linear --epochs 3000 --outdir TL/shot2_transfer --net load --netdir TL/shot1/model.pth
-    ```
 
 #### Data preparation
 We are glad you want to try our method on your data! To minimize the effort, keep in mind that: