# AndroidVideoSegmentation **Repository Path**: JackXu2016/AndroidVideoSegmentation ## Basic Information - **Project Name**: AndroidVideoSegmentation - **Description**: Android video semantic segmentation using DeeplabV3+ lite - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-02-22 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Android Video Segmentation Project done in order to learn how to use DeepLearning models in mobile applications. A camera application with real time semantic segmentation was implemented using OpenCV(for image preprocessing and camera handling) and Google´s trained Deeplab3+ model(for video frame segmentation).

## Demos person walking plants dog sofa table_chairs ### Helpful Resources: * Use of quantized version of deeplab3+(for better inference speed): https://github.com/tantara/JejuNet * Visualize .tflite model structure/inputs/outputs: https://github.com/lutzroeder/netron * Fix opencv camera: https://heartbeat.fritz.ai/working-with-the-opencv-camera-for-android-rotating-orienting-and-scaling-c7006c3e1916