Скачать или смотреть Resolving Conflicts between PyTorch and OpenCV on Android

Learn how to fix conflicts between PyTorch and OpenCV libraries in your Android app. This guide outlines step-by-step solutions to help you avoid common errors and improve your development process.
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Resolving Conflicts between PyTorch and OpenCV on Android

In the world of Android development, using popular libraries like PyTorch for machine learning and OpenCV for computer vision is common. However, integrating these libraries can sometimes lead to frustrating conflicts, especially around shared dependencies. In this post, we'll discuss a specific conflict that arises when both libraries are used together and provide a clear, step-by-step solution to resolve the issue.

The Problem

Imagine you are developing an Android app and you’ve decided to use both PyTorch and OpenCV. You add the OpenCV dependency in your build.gradle.kts file like so:

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

Upon running your app, you encounter an annoying error message indicating that there are "2 files found" with the path to the libc+ + _shared.so file, originating from both the PyTorch and OpenCV libraries:

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

This conflict occurs because both libraries attempt to include their own versions of the libc+ + _shared.so file, which leads to a conflict during the build process.

The Solution

To resolve this conflict, you need to modify your build.gradle.kts file to specify which version of the libc+ + _shared.so file should be used in your application. Here's how you can do this step-by-step:

Step 1: Open Your build.gradle.kts file

Locate and open the build.gradle.kts file for your Android project where you added the OpenCV dependency.

Step 2: Add Packaging Options

Within the android section of your build.gradle.kts, add the following packaging options to your configuration:

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

Step 3: Sync Your Project

After making the changes, remember to sync your project with the Gradle files. This ensures that the changes take effect and any previous conflicts are resolved. To do this, click the “Sync Now” link that appears at the top of the editor, or go to File Sync Project with Gradle Files.

Step 4: Run Your App

Finally, run your application again. You should find that the conflict has been resolved, allowing your app to compile and run successfully with both PyTorch and OpenCV integrated seamlessly.

Conclusion

Developing Android applications with multiple powerful libraries enhances your app's capabilities but can sometimes lead to conflicts, such as those between PyTorch and OpenCV. By following the steps outlined above, you can effectively resolve these conflicts and continue your development without interruption.

If you have any other issues or questions related to Android development, feel free to leave a comment below!