nihui/ncnn-android-nanodet
A lightweight neural network object detection model deployed as an Android application using the ncnn mobile inference framework.
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NanoDet is a real-time object detection neural network optimized for mobile devices. This project packages it as an Android application using the ncnn inference framework and opencv-mobile, enabling direct camera-based detection on mobile hardware. The models are manually adapted for dynamic input shapes and include documentation on CPU versus GPU performance tradeoffs.
Frequently asked
- What is nihui/ncnn-android-nanodet?
- A lightweight neural network object detection model deployed as an Android application using the ncnn mobile inference framework.
- Is ncnn-android-nanodet open source?
- Yes — nihui/ncnn-android-nanodet is an open-source project tracked on heatdrop.
- What language is ncnn-android-nanodet written in?
- nihui/ncnn-android-nanodet is primarily written in C++.
- How popular is ncnn-android-nanodet?
- nihui/ncnn-android-nanodet has 420 stars on GitHub.
- Where can I find ncnn-android-nanodet?
- nihui/ncnn-android-nanodet is on GitHub at https://github.com/nihui/ncnn-android-nanodet.