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I converted the ESRGAN model available from https://github.com/WolframRhodium/Super-Resolution-Zoo/tree/master/ESRGAN using the following model converter command:
./mo_mxnet.py --input_model ~/Downloads/Zoom-Experiments/Openvino-SR/ESRGAN_4x-0000.params --output_dir /tmp/ --input_shape [1,3,64,64]
No issues, Openvino format model was created successfully as ESRGAN_4x-0000.xml and ESRGAN_4x-0000.bin files.
Then, I used the Openvino super resolution example with this new model as:
./super_resolution_demo -m /tmp/ESRGAN_4x-0000.xml -i ~/Pictures/image640x640.jpeg
I get the following error, what is wrong?
[ INFO ] InferenceEngine:
API version ............ 2.1
Build .................. custom_releases/2019/R3_ac8584cb714a697a12f1f30b7a3b78a5b9ac5e05
Description ....... API
[ INFO ] Parsing input parameters
[ INFO ] Files were added: 1
[ INFO ] /home/niranjan/Pictures/image640x640.jpeg
[ INFO ] Loading Inference Engine
[ INFO ] Device info:
CPU
MKLDNNPlugin version ......... 2.1
Build ........... 32974
[ INFO ] Loading network files
[ INFO ] Preparing input blobs
Segmentation fault (core dumped)
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