Update README.md

README.md

@@ -40,7 +40,6 @@ The algorithm is works the following way:
 
 
 Running SortEM
-        parser = argparse.ArgumentParser(description='Run sortinator.')
     parser.add_argument('--gpu_id',type=int, default= 0, help='GPU ID. The ID of the GPU to execute the operations on. ')
     parser.add_argument('--num_cpus',type=int,default = 8,help='The maximum allowed cpus to use for preprocessing data (image resize and normalization')
    
@@ -81,7 +80,7 @@ Running SortEM
 
     parser.add_argument('--t_res',type=int,default=None,choices=[32,64,128,256,512],help='The maximum resolution to train the model on')
 
-    parser.add_argument('--minimum_size',type=int,default=500,help='the minimum size before its considered an actual cluster, anything else less is considered noise')
+    parser.add_argument('--minimum_size',type=int,default=500,help='the minimum size before its considered an actual cluster, anything else less is considered noise')- 
 
 Example of typical run , the star file is required, and use --ctf and --noise to run on real data.