Geti SDK Demo Error: Python 3.12 Compatibility

h1. Geti SDK Demo Error: Python 3.12 Compatibility

Navigating the exciting world of computer vision with the Geti SDK can be incredibly rewarding, but sometimes, you hit a little bump in the road. If you've recently tried to run the demo.py script with Geti SDK version 2.12 and Python 3.12, you might have encountered an AttributeError: 'InstanceSegmentationResult' object has no attribute 'segmentedObjects'. Don't worry, you're not alone! This is a common hurdle that many users face when integrating different versions of the SDK and Python. This article is designed to help you understand why this error occurs and, more importantly, how to overcome it, ensuring your Geti SDK projects run smoothly. We'll dive deep into the specifics of this error, exploring the potential causes and providing clear, actionable steps to get your demo.py up and running. Whether you're a seasoned AI developer or just starting, this guide aims to provide valuable insights and practical solutions.

h2. Understanding the 'AttributeError: 'InstanceSegmentationResult' object has no attribute 'segmentedObjects' '

This specific AttributeError is a clear indicator that there's a mismatch in how the InstanceSegmentationResult object is being accessed or how it's structured within the Geti SDK version you're using, particularly in conjunction with Python 3.12. When you download a deployment package from Geti, it often includes a demo.py script intended to showcase the model's inference capabilities. This script relies on the SDK's internal structure to process the model's output. The error message AttributeError: 'InstanceSegmentationResult' object has no attribute 'segmentedObjects' tells us that the code is trying to find an attribute named segmentedObjects within an InstanceSegmentationResult object, but it simply doesn't exist in that particular version of the object. This can happen for a few reasons. Firstly, software versions are crucial. The Geti SDK is under active development, and newer versions might refactor or rename internal attributes and methods. If the demo.py script was generated with an older version of the SDK or for a different internal structure, it might be calling for an attribute that has been removed or renamed in the version you have installed (geti-sdk==2.12). Secondly, Python version compatibility can play a role. While Python 3.12 is generally supported according to the README (>=3.9, <=3.12), subtle differences in how Python handles objects or data structures between versions could theoretically contribute to unexpected behavior, though this is less common than versioning issues within the SDK itself. The most probable cause is that the demo.py script, as provided in the deployment package, is not fully compatible with the specific version of the geti-sdk (2.12) and the Python version (3.12) you are using. The InstanceSegmentationResult object, as exposed by SDK version 2.12, might use a different attribute name or structure to hold the segmented object data. For instance, it might now use objects or segments instead of segmentedObjects, or the entire structure might have been reorganized. To resolve this, we need to identify the correct attribute or adapt the script to match the SDK's current structure. This involves understanding the structure of the InstanceSegmentationResult as it's defined in Geti SDK 2.12 and adjusting the demo.py script accordingly. This often means looking at the SDK's source code or documentation for version 2.12 to see how segmented objects are now represented.

h2. Troubleshooting Steps: Pinpointing the Cause

Before we jump into solutions, let's meticulously go through the troubleshooting steps you've taken and identify potential areas for refinement. You've done an excellent job by setting up a clean virtual environment with Python 3.12.1 and ensuring it's within the supported range specified in the README (>=3.9, <=3.12). This is crucial for avoiding conflicts with other Python packages. You correctly updated your requirements.txt to specifically use geti-sdk==2.12, aligning it with the Geti version used for model training. This is a vital step, as using different versions of the SDK for training and deployment can lead to incompatibilities. The installation of requirements via python -m pip install -r requirements.txt is also standard practice. The core of the issue lies within the demo.py script and its interaction with the installed geti-sdk==2.12. The traceback clearly points to the line for obj in inference_results.segmentedObjects: within the results_to_prediction_converter.py file. This confirms that the InstanceSegmentationResult object returned by the model inference does not have an attribute named segmentedObjects.

Possible causes for this mismatch include:

• SDK Version Discrepancy: While you've updated requirements.txt, it's possible that the demo.py script itself, or other components within the downloaded deployment package, were generated with an older SDK version and haven't been updated to reflect changes in SDK 2.12. The attribute segmentedObjects might have been present in older SDK versions but has since been renamed or removed.
• Internal API Changes: Geti SDK 2.12 might have introduced changes to its internal data structures for InstanceSegmentationResult. The attribute name might have been altered, for example, to objects, segments, or a more descriptive name, or the structure might have been completely reorganized.
• Python 3.12 Specifics: Although Python 3.12 is listed as supported, there could be edge cases. However, this error is much more likely to be an SDK versioning issue than a Python version compatibility problem, as AttributeError usually indicates a structural difference in the object itself.

To effectively pinpoint the cause, we need to inspect the InstanceSegmentationResult object as it is in SDK 2.12. This involves understanding the expected output structure of the model inference when using this specific SDK version. The next steps will focus on how to achieve this and modify the demo.py script accordingly.

h2. Solutions: Adapting the demo.py Script

The most direct way to resolve the AttributeError is to modify the demo.py script to correctly access the segmented objects from the InstanceSegmentationResult. Since the error states that InstanceSegmentationResult lacks the segmentedObjects attribute, we need to find out what attribute it does have. This typically involves inspecting the object or consulting the documentation for Geti SDK 2.12.

Inspecting the InstanceSegmentationResult Object

One of the most effective troubleshooting techniques is to examine the object directly. You can do this by adding some debugging code to your demo.py script. Before the line causing the error, insert code to print out the attributes of the inference_results object. For example, you could add:

print(f"Type of inference_results: {type(inference_results)}")
print(f"Attributes of inference_results: {dir(inference_results)}")
# Also try to print directly if you suspect 'objects'
if hasattr(inference_results, 'objects'):
    print("Found 'objects' attribute!")
    # You might need to iterate through inference_results.objects instead
    # Example: for obj in inference_results.objects:
    #              print(obj)
elif hasattr(inference_results, 'segments'):
    print("Found 'segments' attribute!")
    # Example: for obj in inference_results.segments:
    #              print(obj)
else:
    print("Could not find common attributes like 'objects' or 'segments'.")

# The problematic line:
# for obj in inference_results.segmentedObjects:

Run the script again. The dir(inference_results) command will list all available attributes and methods of the inference_results object. Look for attributes that seem like they would contain the segmented objects. Common alternatives to segmentedObjects might be objects, segments, or a list of detected entities. Once you identify the correct attribute name, you can simply replace inference_results.segmentedObjects with the correct one in the demo.py script. For instance, if dir(inference_results) shows an attribute named objects, you would change the problematic line to for obj in inference_results.objects:.

Updating the demo.py Script

Based on common patterns in SDK development and the error message, the attribute is likely renamed. The most probable fix is to change the line causing the error:

# Original problematic line (in results_to_prediction_converter.py, but you'll edit demo.py indirectly)
# for obj in inference_results.segmentedObjects:

To:

# Modified line (assuming 'objects' is the correct attribute)
for obj in inference_results.objects:

Important: You might not be editing the results_to_prediction_converter.py file directly. Instead, the demo.py script likely calls a function or method that uses this converter. You might need to examine how demo.py processes the output from deployment.infer() and adjust the subsequent processing logic there. If demo.py directly calls a method that uses the converter internally, you might need to find a way to override or patch that behavior if direct modification isn't feasible. However, often the demo.py script itself contains the loop that iterates over the results. If you can't find where demo.py iterates over segmentedObjects, it might be that the demo.py script itself is outdated and needs to be updated to match the SDK's output structure. In many cases, the demo.py script provided with the deployment package might need manual updates.

Checking Geti SDK Documentation and Release Notes

If inspecting the object doesn't immediately reveal the correct attribute, the next best step is to consult the official documentation for Geti SDK 2.12. Look for sections detailing the output format of instance segmentation models or the structure of the InstanceSegmentationResult class. Release notes for version 2.12 might also highlight breaking changes related to result structures. This information is invaluable for understanding the expected data format.

Considering SDK Downgrade (As a Last Resort)

If you are unable to find a compatible attribute or modify the script effectively, and your project strictly requires the functionality of the downloaded demo.py, you could consider downgrading the geti-sdk to a version that is known to be compatible with the demo.py script. However, this is generally not recommended as it means you won't be using the latest features and bug fixes of the SDK. Always try to adapt your code to the latest stable SDK version if possible. If you must downgrade, check the release history of geti-sdk to find a version that likely corresponds to the demo.py script's expectations. You would then update your requirements.txt accordingly (e.g., geti-sdk==2.10.0 or an earlier version if necessary).

Conclusion

Encountering an AttributeError like this can be frustrating, but it's a common part of software development. The key to resolving the AttributeError: 'InstanceSegmentationResult' object has no attribute 'segmentedObjects' when using Geti SDK 2.12 with Python 3.12 is to understand that the demo.py script may not be fully aligned with the latest SDK's internal data structures. By carefully inspecting the InstanceSegmentationResult object, consulting the official Geti SDK documentation for version 2.12, and making precise adjustments to the demo.py script to use the correct attribute name for accessing segmented objects, you can successfully overcome this issue. Remember, keeping your SDK and deployment scripts synchronized is crucial for a seamless workflow.

For more information on Geti and its SDK capabilities, you can always refer to the official OpenCV Geti documentation. This resource is invaluable for understanding the SDK's functionalities and data structures.