Resolving the ImportError for exporter_lib_v2 in TensorFlow Object Detection Models

A guide on fixing the `ImportError: cannot import name 'exporter_lib_v2'` in TensorFlow Object Detection. Get your inference graph generated smoothly!
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Fixing the ImportError: cannot import name 'exporter_lib_v2' in TensorFlow Object Detection

If you're working with TensorFlow's Object Detection API and encountering the frustrating ImportError: cannot import name 'exporter_lib_v2' while trying to generate an inference graph, you're not alone. This issue typically arises when the script cannot correctly locate the exporter_lib_v2.py file. Let's break down the problem and provide a solution so you can continue with your project smoothly.

Understanding the Problem

When you run the command to generate the inference graph, the script attempts to import the exporter_lib_v2 but fails. Here's how the error might occur in your terminal:

[[See Video to Reveal this Text or Code Snippet]]

This indicates that Python is unable to find the exporter_lib_v2 module in your project structure, which is crucial for generating the graph from your saved checkpoint.

Steps to Resolve the Error

1. Locate the exporter_main_v2.py File

First, ensure you have the correct path for your exporter_main_v2.py file. It should be located in the models/research/object_detection directory of your TensorFlow installation. Proper navigation within this directory is essential for the code to work correctly.

2. Edit the Import Statement

The main solution to fix this issue lies in modifying the import statement in the code. Here's how to do it:

Open the exporter_main_v2.py file in a code editor.

Navigate to line 105 where you see the following code:

[[See Video to Reveal this Text or Code Snippet]]

Change it to a more direct import statement:

[[See Video to Reveal this Text or Code Snippet]]

This alteration tells Python to look for exporter_lib_v2 directly in the current directory rather than as part of the object_detection package, resolving the import error.

3. Re-run the Command

Once you've made the change, save the file and run the original command again:

[[See Video to Reveal this Text or Code Snippet]]

This should now execute without the ImportError, allowing you to generate the inference graph successfully.

Alternative Solutions

If you continue to face challenges or prefer different approaches, consider the following methods:

Check for Updates: Ensure that your TensorFlow and Object Detection API are up to date, as bugs get fixed in newer releases.

Utilize a Virtual Environment: Run your code within a virtual environment where dependencies are isolated, which can minimize conflicts with existing installations.

Conclusion

In summary, the ImportError: cannot import name 'exporter_lib_v2' can be easily resolved by editing the import statement in your exporter_main_v2.py file. By making this simple change, you can overcome the issue and successfully generate your inference graph. Remember, troubleshooting small errors is a part of learning and mastering TensorFlow and its Object Detection API.

Happy coding!