here I write how I run model on my computer

sections: a) goal of this script b) examples of code running in author’s local machine c) parametrs and short comment

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goal of this script

Here the author has attempted to implement a program capable of running any of the 4 models (caffe, caffe2, tflite, onnx) in a simple and user-friendly manner. The goal of the program is to get the file containing the output of the computation graph at the program output.

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examples of code running in author’s local machine

The purpose of the examples below is to demonstrate which arguments and in which order you should use to run this script correctly.

caffe:

$ python3 model_runner.py -m  caffe1_runer/inception-v3_ref.caffemodel  caffe1_runer/inception-v3_ref.prototxt  -i caffe1_runer/ILSVRC2012_val_00000002.JPEG.tfl.hdf5

caffe2:

$ python model_runner.py -m  caffe2_runer_and_photo/caffe2_models/init_net.pb  caffe2_runer_and_photo/caffe2_models/predict_net.pb -i randomInput.hdf5

tflite:

$ python model_runner.py -m  tflite_runer_and_photo/TST-1-2\ AVARAGE_POOP_2D.tflite -i  tflite_runer_and_photo/in.hdf5

onnx:

$ python model_runner.py  -m onnx_runer/model.onnx -i RANDOM.hdf5

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parametrs and short comment

-m mean pre learned model which you run -i mean model’s input