Merge pull request #38 from jpdefrutos/README-fix

README.md

@@ -61,25 +61,6 @@ where:
 
 Use ```ddmr --help``` to see additional options like using precomputed segmentations to crop the images to the desired ROI, or debugging.
 
-## 🤖 How to use
-Use the following CLI command to register images
-```
-ddmr --fixed path/to/fixed_image.nii.gz --moving path/to/moving_image.nii.gz --outputdir path/to/output/dir -a <anatomy> --model <model> --gpu <gpu-number> --original-resolution
-```
-where:
-* anatomy: is the type of anatomy you want to register: B (brain) or L (liver)
-* model: is the model you want to use:
-    + BL-N (baseline with NCC)
-    + BL-NS (baseline with NCC and SSIM)
-    + SG-ND (segmentation guided with NCC and DSC)
-    + SG-NSD (segmentation guided with NCC, SSIM, and DSC)
-    + UW-NSD (uncertainty weighted with NCC, SSIM, and DSC)
-    + UW-NSDH (uncertainty weighted with NCC, SSIM, DSC, and HD).
-* gpu: is the GPU number you want to the model to run on, if you have multiple and want to use only one GPU
-* original-resolution: (flag) whether to upsample the registered image to the fixed image resolution (disabled if the flag is not present)
-
-Use ```ddmr --help``` to see additional options like using precomputed segmentations to crop the images to the desired ROI, or debugging.
-
 ## 🤗 Demo  <a target="_blank" href="https://huggingface.co/spaces/andreped/DDMR"><img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-yellow.svg"></a>
 
 A live demo to easily test the best performing pretrained models was developed in Gradio and is deployed on `Hugging Face`.