This image is available on DockerHub.
Docker image with compiled tools:
Also, it containers builded .so libraries for Android armeabi-v7a, arm64-v8a (libMNN.so, libMNN_CL.so, libMNN_Express.so, libMNN_GL.so, libMNN_Vulkan.so).
Copy libraries
docker run --rm -v /home/mitya/data:/data gordinmitya/mnn /bin/bash -c "cp -r lib_* /data"
Converter
docker run --rm -v /home/mitya/data:/data gordinmitya/mnn \
/export/MNNConvert --framework ONNX \
--modelFile /data/mobilenet_v2.onnx \
--MNNModel /data/converted_model.mnn \
--bizCode biz
Where:
--rm remove container after execution,-v /home/mitya/data:/data – map local directory with model to /data directory inside container,gordinmitya/mnn image name from DockerHub,/export/MNNConvert … path to tool inside container and args.Or just enter the container
docker run --rm -it -v /home/mitya/data:/data naviocean/mnn /bin/bash"
MNNConverter help:
Usage:
MNNConvert [OPTION...]
-h, --help Convert Other Model Format To MNN Model
-v, --version show current version
-f, --framework arg model type, ex: [TF,CAFFE,ONNX,TFLITE,MNN]
--modelFile arg tensorflow Pb or caffeModel, ex: *.pb,*caffemodel
--prototxt arg only used for caffe, ex: *.prototxt
--MNNModel arg MNN model, ex: *.mnn
--fp16 save Conv's weight/bias in half_float data type
--benchmarkModel Do NOT save big size data, such as Conv's weight,BN's
gamma,beta,mean and variance etc. Only used to test
the cost of the model
--bizCode arg MNN Model Flag, ex: MNN
--debug Enable debugging mode.
--forTraining whether or not to save training ops BN and Dropout,
default: false
Content type
Image
Digest
Size
2.3 GB
Last updated
about 6 years ago
docker pull naviocean/mnn:1.0