kikirizki/pytorch_to_android-ncnn

Simple working example of pytorch model deployed on android device using ncnn

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This helps Android developers integrate advanced deep learning features like image classification, object detection, and face recognition directly into their mobile applications. It provides a straightforward process to take a pre-trained PyTorch model and convert it for efficient deployment on Android devices using ncnn. The end-user persona is an Android developer looking to embed AI capabilities into their apps.

No commits in the last 6 months.

Use this if you are an Android developer who needs to embed a deep learning model for tasks like image classification or face recognition directly into your mobile application.

Not ideal if you are looking for a cloud-based AI solution or are not comfortable with Android development and deep learning model conversion.

Android-development mobile-AI on-device-machine-learning face-recognition image-classification
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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Language

C++

License

MIT

Last pushed

Jul 15, 2022

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