added examples and formatting

src/ria_toolkit_oss/ria_toolkit_oss_cli/ria_toolkit_oss/capture.py

@@ -240,8 +240,6 @@ def determine_output_format(output, output_format, output_dir):
 
 
 @click.command()
-@click.argument("inputs", nargs=-1, required=True, type=click.Path(exists=True))
-@click.argument("output", nargs=1, required=True, type=click.Path())
 @click.option(
     "--device",
     "-d",

src/ria_toolkit_oss/ria_toolkit_oss_cli/ria_toolkit_oss/transform.py

@@ -257,24 +257,20 @@ def transform():
     Transform supports three categories of operations:
     - augment: Modify signal to create new ML examples
     - impair: Degrade signal with noise, distortion, etc.
-    - apply_channel: Apply channel models (fading, Doppler, etc.)
 
     Each operation is applied independently. Chain multiple transforms by
     running this command multiple times.
 
+    Examples:\n
     \b
-    Examples:
+    # List available augmentations
-        # List available augmentations
+    utils transform augment --list
-        ria_toolkit_oss transform augment --list
     \b
-        # Apply channel swap
+    # Apply channel swap
-        ria_toolkit_oss transform augment channel_swap input.npy
+    utils transform augment channel_swap input.npy
     \b
-        # Apply AWGN impairment
+    # Apply AWGN impairment
-        ria_toolkit_oss transform impair awgn input.npy --snr-db 15
+    utils transform impair awgn input.npy --snr-db 15
-    \b
-        # Apply Rayleigh fading channel
-        ria_toolkit_oss transform apply_channel rayleigh input.npy --num-paths 5
     """
     pass
 
@@ -300,19 +296,19 @@ def augment(augmentation, input, output, list_transforms, help_transform, params
 
       # List all augmentations
       \b
-      ria_toolkit_oss transform augment --list
+      ria transform augment --list
 
       # Show parameters for an augmentation
       \b
-      ria_toolkit_oss transform augment channel_swap --help-transform
+      ria transform augment channel_swap --help-transform
 
       # Apply augmentation
       \b
-      ria_toolkit_oss transform augment channel_swap input.npy
+      ria transform augment channel_swap input.npy
 
       # Apply with parameters and save visualization
       \b
-      ria_toolkit_oss transform augment drop_samples input.npy --params max_section_size=5 --view
+      ria transform augment drop_samples input.npy --params max_section_size=5 --view
     """
     available = get_available_transforms(iq_augmentations)