Android human segmentation by ncnn

Related tags

Artificial Intelligence ncnn_Android_RobustVideoMatting
Overview

ncnn_Android_human_segmentation

this project is a ncnn Android demo for RobustVideoMatting, it depends on ncnn library and opencv.
https://github.com/Tencent/ncnn
https://github.com/nihui/opencv-mobile

model support:

1.rvm_mobilenetv3 single frame(The actual performance may be poor)(from RobustVideoMatting)
2.TODO:rvm_mobilenetv3 with time series

how to build and run

step1

https://github.com/Tencent/ncnn/releases

  • Download ncnn-YYYYMMDD-android-vulkan.zip or build ncnn for android yourself
  • Extract ncnn-YYYYMMDD-android-vulkan.zip into app/src/main/jni and change the ncnn_DIR path to yours in app/src/main/jni/CMakeLists.txt

step2

https://github.com/nihui/opencv-mobile

  • Download opencv-mobile-XYZ-android.zip
  • Extract opencv-mobile-XYZ-android.zip into app/src/main/jni and change the OpenCV_DIR path to yours in app/src/main/jni/CMakeLists.txt

step3

  • Open this project with Android Studio, build it and enjoy!

result

reference:

https://github.com/nihui/ncnn-android-nanodet
https://github.com/PeterL1n/RobustVideoMatting

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Comments
  • nanodet代码问题

    nanodet代码问题

    为什么是两个原图输入 ncnn_in = ncnn::Mat::from_pixels_resize(rgb.data,ncnn::Mat::PIXEL_RGB, rgb.cols, rgb.rows,512,512);// ncnn_in1 = ncnn::Mat::from_pixels_resize(rgb.data,ncnn::Mat::PIXEL_RGB, rgb.cols, rgb.rows,256,256); ex_face.input("src1", ncnn_in1); ex_face.input("src2", ncnn_in);

    opened by FengMu1995 1
  • onnx转ncnn的问题

    onnx转ncnn的问题

    pytorch模型转onnx，使用rvm作者给的代码，没报错，但是有警告: onnx_helper.py:20: TracerWarning: Converting a tensor to a Pyth on number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value wil l be treated as a constant in the future. This means that the trace might not generalize to other inputs! return F.interpolate(x, scale_factor=scale_factor.item(),

    使用该onnx模型，进行简化，命令如下： python -m onnxsim model.onnx model_sim.onnx --dynamic-input-shape --input-shape src:1,3,1280,720 r1i:1,16,256,144 r2i:1,20,128,72 r3i:1,40,64,36 r4i:1,64,32,18 downsample_ratio:1 报错如下 onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running Expand node. Name:'Expand_174' Status Message: invalid expand shape

    请大神赐教。我用netron查看了onnx模型的网络图，找到了Expand_174节点，该节点是接收一个shape，然后对r4i进行操作（我去onnx的github上查看，说expand操作是广播）onnx中expand操作的解释 但是我仔细查看并打印了decoder.py里面相关位置的tensor形状，没有自动广播的情况

    opened by queenmary55 9
Owner
FeiGeChuanShu
FeiGeChuanShu
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