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Project-MONAI · Sep 11, 2024 · d3641a0 · d3641a0
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diff --git a/generation/maisi/README.md b/generation/maisi/README.md
@@ -72,9 +72,9 @@ To generate images with substantial dimensions, such as 512 &times; 512 &times;
 
 |`output_size`| Recommended `"spacing"`|
 |:-----:|:-----:|
-[256, 256, 256]  | [1.5, 1.5, 1.5] | 
-[512, 512, 128]  | [0.8, 0.8, 2.5] | 
-[512, 512, 512]  | [1.0, 1.0, 1.0] | 
+[256, 256, 256]  | [1.5, 1.5, 1.5] |
+[512, 512, 128]  | [0.8, 0.8, 2.5] |
+[512, 512, 512]  | [1.0, 1.0, 1.0] |
 
 #### Execute Inference:
 To run the inference script, please run:

diff --git a/generation/maisi/scripts/infer_controlnet.py b/generation/maisi/scripts/infer_controlnet.py
@@ -150,7 +150,7 @@ def main():
         top_region_index_tensor = batch["top_region_index"].to(device)
         bottom_region_index_tensor = batch["bottom_region_index"].to(device)
         spacing_tensor = batch["spacing"].to(device)
-        out_spacing = tuple((batch["spacing"].squeeze().numpy()/100).tolist())
+        out_spacing = tuple((batch["spacing"].squeeze().numpy() / 100).tolist())
         # get target dimension
         dim = batch["dim"]
         output_size = (dim[0].item(), dim[1].item(), dim[2].item())