Error in postprocess function: Multiple values for argument ‘class_agnostic’

Issue Overview

Users are experiencing an error when executing the postprocess function in the "Post-processing inference results" section of a program related to the Nvidia Jetson Orin Nano Dev board. The specific error message is "postprocess() got multiple values for argument ‘class_agnostic’". This error occurs during the post-processing of inference results, which is a critical step in the object detection pipeline. The issue appears to be related to how arguments are passed to the postprocess function, particularly the ‘class_agnostic’ parameter.

Possible Causes

1. Incorrect function call: The postprocess function is being called with incorrect arguments or in the wrong order.

2. Function signature mismatch: The definition of the postprocess function might not match the way it’s being called in the code.

3. Duplicate argument: The ‘class_agnostic’ argument is potentially being passed multiple times, either explicitly or as part of a keyword argument.

4. Outdated function definition: The postprocess function might have been updated, but the calling code wasn’t adjusted accordingly.

5. Confusion between positional and keyword arguments: Mixing positional and keyword arguments incorrectly can lead to this type of error.

Troubleshooting Steps, Solutions & Fixes

1. Review the postprocess function signature:

   • Check the definition of the postprocess function to understand the expected arguments and their order.
   • Ensure that the ‘class_agnostic’ parameter is defined only once in the function signature.

2. Correct the function call:

   • Adjust the postprocess function call to match its definition. Here’s a corrected version based on the provided code:

   outputs = postprocess(
       output_num,
       output_boxes,
       output_scores,
       output_classes,
       self.exp.num_classes,
       self.exp.test_conf,
       self.exp.nmsthre,
       class_agnostic=True
   )
   

3. Use keyword arguments consistently:

   • If using keyword arguments, ensure all arguments are passed as keywords to avoid confusion:

   outputs = postprocess(
       output_num=output_num,
       output_boxes=output_boxes,
       output_scores=output_scores,
       output_classes=output_classes,
       num_classes=self.exp.num_classes,
       conf_thre=self.exp.test_conf,
       nms_thre=self.exp.nmsthre,
       class_agnostic=True
   )
   

4. Check for duplicate arguments:

   • Ensure that ‘class_agnostic’ is not being passed multiple times, either as a positional argument or a keyword argument.

5. Update function definition if necessary:

   • If the postprocess function has been updated, make sure to adjust its definition in all relevant files.

6. Use proper Python syntax:

   • Ensure that commas are used correctly to separate arguments and that there are no stray commas at the end of the argument list.

7. Debug the function call:

   • Use print statements or a debugger to verify the values being passed to the postprocess function.

8. Check for name conflicts:

   • Ensure that there are no naming conflicts between local variables and function parameters.

9. Review any recent changes:

   • If this error appeared after recent code changes, review those changes for potential issues.

10. Consult the documentation:

    • Refer to the official documentation or source code of the library containing the postprocess function for the correct usage.

It’s worth noting that the original poster mentioned they were able to solve the issue on their own. While they didn’t share the specific solution, the steps above should help identify and resolve similar problems. If you encounter this error, methodically go through these troubleshooting steps, paying close attention to the function signature and how arguments are passed.